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Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating.

Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle.

Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.

“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.

Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations.

Applied Computing wants to give oil and gas operators an AI model for the entire plant | TechCrunch Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle. Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations. Image Credits:Applied Computing Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output. That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has. Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks. Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. “It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.” Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers. Applied Computing plans to use the million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals
Image Credits:Applied Computing

Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output.

That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has.

Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks.

Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows.

Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. 

“It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.”

Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant.

The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers.

Applied Computing plans to use the $20 million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients.

The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals"> Applied Computing wants to give oil and gas operators an AI model for the entire plant | TechCrunch Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle. Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations. Image Credits:Applied Computing Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output. That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has. Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks. Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. “It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.” Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers. Applied Computing plans to use the million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals
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Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating.

Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle.

Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.

“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.

Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations.

Applied Computing wants to give oil and gas operators an AI model for the entire plant | TechCrunch Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle. Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations. Image Credits:Applied Computing Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output. That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has. Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks. Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. “It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.” Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers. Applied Computing plans to use the million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals
Image Credits:Applied Computing

Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output.

That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has.

Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks.

Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows.

Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. 

“It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.”

Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant.

The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers.

Applied Computing plans to use the $20 million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients.

The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals">Applied Computing wants to give oil and gas operators an AI model for the entire plant | TechCrunch

Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating.

Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle.

Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.

“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.

Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations.

Applied Computing wants to give oil and gas operators an AI model for the entire plant | TechCrunch Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s a huge market for helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle. Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations. Image Credits:Applied Computing Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output. That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has. Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks. Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. “It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.” Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers. Applied Computing plans to use the million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals
Image Credits:Applied Computing

Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output.

That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has.

Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks.

Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups. AspenTech sells simulation and AI-powered modeling software for upstream, refining, and chemical operations, while AVEVA offers physics-based process simulation, optimization, and “what-if” modeling for industrial plants. Cognite and Seeq target the data layer, helping facilities analyze industrial data, and apply AI to design workflows.

Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital. 

“It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.”

Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant.

The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers.

Applied Computing plans to use the $20 million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients.

The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Applied #Computing #give #oil #gas #operators #model #entire #plant #TechCrunchenergy,oil and gas,petrochemicals

Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas,…

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यूक्रेन के हमलों से रूस की रिफाइनिंग क्षमता का बड़ा हिस्सा प्रभावित हुआ है। इसकी…

having one installed myself, and I have tips for anyone interested in getting a home battery of their own.

Why Would You Want a Home Battery?

There are several reasons you might want to invest in a home battery, and they are not mutually exclusive:

  • You want to store excess power from your solar panels.
  • You want to live off-grid.
  • You want to guard against power outages.
  • You want to buy electricity at a cheap rate and store it for use later.

Home batteries are a win-win, potentially benefiting power companies too, because battery storage is an essential part of grid balancing and can help manage and make the most of the intermittent power generated by renewables (solar, wind, waves).

How Do Home Batteries Work?

Image may contain Appliance Device Electrical Device and Refrigerator

Photograph: Simon Hill

A home battery is like a big power bank for your home. But rather than lithium-ion, they tend to be lithium iron phosphate (LFP or LiFePO4), because it is safer, more durable, and less prone to thermal runaway. In other words, less likely to overheat and burst into flames. There are a few manufacturers working with sodium-ion (Na-ion) batteries, which are potentially cheaper, more environmentally friendly (they don’t require lithium), and perform better in the cold, but they are also larger and don’t last as long.

Home battery technology is often the same as you’ll find in electric vehicles. Some folks have even suggested employing EV batteries as home batteries. But there are potential issues with that, not least finding your car battery drained in the morning. EVs are also driving the technology forward toward solid-state batteries, which are smaller for the same capacity, safer as they don’t have liquid electrolytes inside, and longer lasting.

Many home batteries come in modular systems, so you can add the capacity you want, but they require an inverter to convert the DC (direct current) power stored to AC (alternating current) power you can use. Folks with solar panels, or those who plan to add them in the future, should opt for a hybrid inverter, which can also convert the power from the panels for use or storage.

Inverters have different power ratings in kilowatts (kW) that dictate how much power you can draw at any given moment. Households with modest needs may get by with a 3.6-kW inverter, but that limits your continuous draw to 3.6 kW. They usually have a peak load capability that goes higher, enabling you to pull more for a brief period. If you have high-demand appliances like an EV charger or heat pump, you will want at least 5 kW, and folks with larger demands or larger batteries will want to go higher (6 to 10 kW).

What Should I Look For?

There are several things to watch out for when buying a home battery:

  • Capacity: Measured in kilowatt-hours (kWh), this tells you how much total energy the battery can hold.
  • Power output: Measured in kilowatts (kW), this shows how much energy the battery and inverter can deliver at any moment.
  • Depth of discharge: This is how much of the battery’s capacity you can safely use without damaging it.
  • Efficiency: This is the percentage of the power you put into the battery that you can actually use, because some energy is always lost in the storage process.
  • Warranty: This is a guarantee about the minimum performance you can expect before a battery degrades (they all degrade over time), and it’s often stated in years and charging cycles (whichever comes first). For example, EcoFlow promises at least 70 percent capacity after 15 years or 6,000 charging cycles.

How Much Home Battery Do You Need?

Image may contain Electronics Mobile Phone Phone Computer Hardware and Hardware

EcoFlow via Simon Hill

It can be tricky to calculate how much battery capacity you need, and it depends on your use case. If you want to guard against outages or live off-grid, you must consider how much power you use over time and also the sum of your maximum power usage at any given moment to ensure your capacity in kWh and output in kW are enough. If the output is not high enough you may not be able to run power-hungry appliances at the same time, so you’ll have to think about how you use your power.

For folks like me, simply looking to buy at a cheaper rate to use when power is more expensive, any capacity will benefit you. But if you have a cheap six-hour rate overnight, for example, then you ideally want it to last for the other 18 hours. It makes sense to get as much as you can up-front because the installation costs are high. Even adding to modular systems later often requires professional installation to avoid voiding your warranty.

Do You Need Upgrades or Permission?

The home battery will connect to your main electrical panel via a cable, and it may require some upgrades. There was no room on my fuse board when I got a home battery installed, so they had to install a second breaker box.

Some inverters may require permission from your electric distribution utility or local distribution company. Here in Scotland, the distribution network operator must approve your inverter, but you can install and then notify up to 3.6 kW, whereas larger inverters require prior approval.

#Home #Batteries #Arent #Doomsday #Preppers #Heresshopping,energy,batteries,how-to,smart home,power"> Home Batteries Aren’t Just for Doomsday Preppers. Here’s Why You Might Want OneWith electricity costs soaring, home batteries have never looked so attractive. Whether you want to store the excess generated by your solar panels or simply buy electricity at the cheapest possible rate to use later when power is most expensive, a home battery can help. It’s never been easier to get a home battery installed, but this rapidly expanding market can be confusing, and there are several things to consider before you buy.I’ve spent months researching home batteries, chatting to folks who use them, and then having one installed myself, and I have tips for anyone interested in getting a home battery of their own.Why Would You Want a Home Battery?There are several reasons you might want to invest in a home battery, and they are not mutually exclusive:You want to store excess power from your solar panels.You want to live off-grid.You want to guard against power outages.You want to buy electricity at a cheap rate and store it for use later.Home batteries are a win-win, potentially benefiting power companies too, because battery storage is an essential part of grid balancing and can help manage and make the most of the intermittent power generated by renewables (solar, wind, waves).How Do Home Batteries Work?Photograph: Simon HillA home battery is like a big power bank for your home. But rather than lithium-ion, they tend to be lithium iron phosphate (LFP or LiFePO4), because it is safer, more durable, and less prone to thermal runaway. In other words, less likely to overheat and burst into flames. There are a few manufacturers working with sodium-ion (Na-ion) batteries, which are potentially cheaper, more environmentally friendly (they don’t require lithium), and perform better in the cold, but they are also larger and don’t last as long.Home battery technology is often the same as you’ll find in electric vehicles. Some folks have even suggested employing EV batteries as home batteries. But there are potential issues with that, not least finding your car battery drained in the morning. EVs are also driving the technology forward toward solid-state batteries, which are smaller for the same capacity, safer as they don’t have liquid electrolytes inside, and longer lasting.Many home batteries come in modular systems, so you can add the capacity you want, but they require an inverter to convert the DC (direct current) power stored to AC (alternating current) power you can use. Folks with solar panels, or those who plan to add them in the future, should opt for a hybrid inverter, which can also convert the power from the panels for use or storage.Inverters have different power ratings in kilowatts (kW) that dictate how much power you can draw at any given moment. Households with modest needs may get by with a 3.6-kW inverter, but that limits your continuous draw to 3.6 kW. They usually have a peak load capability that goes higher, enabling you to pull more for a brief period. If you have high-demand appliances like an EV charger or heat pump, you will want at least 5 kW, and folks with larger demands or larger batteries will want to go higher (6 to 10 kW).What Should I Look For?There are several things to watch out for when buying a home battery:Capacity: Measured in kilowatt-hours (kWh), this tells you how much total energy the battery can hold.Power output: Measured in kilowatts (kW), this shows how much energy the battery and inverter can deliver at any moment.Depth of discharge: This is how much of the battery’s capacity you can safely use without damaging it.Efficiency: This is the percentage of the power you put into the battery that you can actually use, because some energy is always lost in the storage process.Warranty: This is a guarantee about the minimum performance you can expect before a battery degrades (they all degrade over time), and it’s often stated in years and charging cycles (whichever comes first). For example, EcoFlow promises at least 70 percent capacity after 15 years or 6,000 charging cycles.How Much Home Battery Do You Need?EcoFlow via Simon HillIt can be tricky to calculate how much battery capacity you need, and it depends on your use case. If you want to guard against outages or live off-grid, you must consider how much power you use over time and also the sum of your maximum power usage at any given moment to ensure your capacity in kWh and output in kW are enough. If the output is not high enough you may not be able to run power-hungry appliances at the same time, so you’ll have to think about how you use your power.For folks like me, simply looking to buy at a cheaper rate to use when power is more expensive, any capacity will benefit you. But if you have a cheap six-hour rate overnight, for example, then you ideally want it to last for the other 18 hours. It makes sense to get as much as you can up-front because the installation costs are high. Even adding to modular systems later often requires professional installation to avoid voiding your warranty.Do You Need Upgrades or Permission?The home battery will connect to your main electrical panel via a cable, and it may require some upgrades. There was no room on my fuse board when I got a home battery installed, so they had to install a second breaker box.Some inverters may require permission from your electric distribution utility or local distribution company. Here in Scotland, the distribution network operator must approve your inverter, but you can install and then notify up to 3.6 kW, whereas larger inverters require prior approval.#Home #Batteries #Arent #Doomsday #Preppers #Heresshopping,energy,batteries,how-to,smart home,power
Tech-news

having one installed myself, and I have tips for anyone interested in getting a home battery of their own.

Why Would You Want a Home Battery?

There are several reasons you might want to invest in a home battery, and they are not mutually exclusive:

  • You want to store excess power from your solar panels.
  • You want to live off-grid.
  • You want to guard against power outages.
  • You want to buy electricity at a cheap rate and store it for use later.

Home batteries are a win-win, potentially benefiting power companies too, because battery storage is an essential part of grid balancing and can help manage and make the most of the intermittent power generated by renewables (solar, wind, waves).

How Do Home Batteries Work?

Image may contain Appliance Device Electrical Device and Refrigerator

Photograph: Simon Hill

A home battery is like a big power bank for your home. But rather than lithium-ion, they tend to be lithium iron phosphate (LFP or LiFePO4), because it is safer, more durable, and less prone to thermal runaway. In other words, less likely to overheat and burst into flames. There are a few manufacturers working with sodium-ion (Na-ion) batteries, which are potentially cheaper, more environmentally friendly (they don’t require lithium), and perform better in the cold, but they are also larger and don’t last as long.

Home battery technology is often the same as you’ll find in electric vehicles. Some folks have even suggested employing EV batteries as home batteries. But there are potential issues with that, not least finding your car battery drained in the morning. EVs are also driving the technology forward toward solid-state batteries, which are smaller for the same capacity, safer as they don’t have liquid electrolytes inside, and longer lasting.

Many home batteries come in modular systems, so you can add the capacity you want, but they require an inverter to convert the DC (direct current) power stored to AC (alternating current) power you can use. Folks with solar panels, or those who plan to add them in the future, should opt for a hybrid inverter, which can also convert the power from the panels for use or storage.

Inverters have different power ratings in kilowatts (kW) that dictate how much power you can draw at any given moment. Households with modest needs may get by with a 3.6-kW inverter, but that limits your continuous draw to 3.6 kW. They usually have a peak load capability that goes higher, enabling you to pull more for a brief period. If you have high-demand appliances like an EV charger or heat pump, you will want at least 5 kW, and folks with larger demands or larger batteries will want to go higher (6 to 10 kW).

What Should I Look For?

There are several things to watch out for when buying a home battery:

  • Capacity: Measured in kilowatt-hours (kWh), this tells you how much total energy the battery can hold.
  • Power output: Measured in kilowatts (kW), this shows how much energy the battery and inverter can deliver at any moment.
  • Depth of discharge: This is how much of the battery’s capacity you can safely use without damaging it.
  • Efficiency: This is the percentage of the power you put into the battery that you can actually use, because some energy is always lost in the storage process.
  • Warranty: This is a guarantee about the minimum performance you can expect before a battery degrades (they all degrade over time), and it’s often stated in years and charging cycles (whichever comes first). For example, EcoFlow promises at least 70 percent capacity after 15 years or 6,000 charging cycles.

How Much Home Battery Do You Need?

Image may contain Electronics Mobile Phone Phone Computer Hardware and Hardware

EcoFlow via Simon Hill

It can be tricky to calculate how much battery capacity you need, and it depends on your use case. If you want to guard against outages or live off-grid, you must consider how much power you use over time and also the sum of your maximum power usage at any given moment to ensure your capacity in kWh and output in kW are enough. If the output is not high enough you may not be able to run power-hungry appliances at the same time, so you’ll have to think about how you use your power.

For folks like me, simply looking to buy at a cheaper rate to use when power is more expensive, any capacity will benefit you. But if you have a cheap six-hour rate overnight, for example, then you ideally want it to last for the other 18 hours. It makes sense to get as much as you can up-front because the installation costs are high. Even adding to modular systems later often requires professional installation to avoid voiding your warranty.

Do You Need Upgrades or Permission?

The home battery will connect to your main electrical panel via a cable, and it may require some upgrades. There was no room on my fuse board when I got a home battery installed, so they had to install a second breaker box.

Some inverters may require permission from your electric distribution utility or local distribution company. Here in Scotland, the distribution network operator must approve your inverter, but you can install and then notify up to 3.6 kW, whereas larger inverters require prior approval.

#Home #Batteries #Arent #Doomsday #Preppers #Heresshopping,energy,batteries,how-to,smart home,power">Home Batteries Aren’t Just for Doomsday Preppers. Here’s Why You Might Want One

With electricity costs soaring, home batteries have never looked so attractive. Whether you want to store the excess generated by your solar panels or simply buy electricity at the cheapest possible rate to use later when power is most expensive, a home battery can help. It’s never been easier to get a home battery installed, but this rapidly expanding market can be confusing, and there are several things to consider before you buy.

I’ve spent months researching home batteries, chatting to folks who use them, and then having one installed myself, and I have tips for anyone interested in getting a home battery of their own.

Why Would You Want a Home Battery?

There are several reasons you might want to invest in a home battery, and they are not mutually exclusive:

  • You want to store excess power from your solar panels.
  • You want to live off-grid.
  • You want to guard against power outages.
  • You want to buy electricity at a cheap rate and store it for use later.

Home batteries are a win-win, potentially benefiting power companies too, because battery storage is an essential part of grid balancing and can help manage and make the most of the intermittent power generated by renewables (solar, wind, waves).

How Do Home Batteries Work?

Image may contain Appliance Device Electrical Device and Refrigerator

Photograph: Simon Hill

A home battery is like a big power bank for your home. But rather than lithium-ion, they tend to be lithium iron phosphate (LFP or LiFePO4), because it is safer, more durable, and less prone to thermal runaway. In other words, less likely to overheat and burst into flames. There are a few manufacturers working with sodium-ion (Na-ion) batteries, which are potentially cheaper, more environmentally friendly (they don’t require lithium), and perform better in the cold, but they are also larger and don’t last as long.

Home battery technology is often the same as you’ll find in electric vehicles. Some folks have even suggested employing EV batteries as home batteries. But there are potential issues with that, not least finding your car battery drained in the morning. EVs are also driving the technology forward toward solid-state batteries, which are smaller for the same capacity, safer as they don’t have liquid electrolytes inside, and longer lasting.

Many home batteries come in modular systems, so you can add the capacity you want, but they require an inverter to convert the DC (direct current) power stored to AC (alternating current) power you can use. Folks with solar panels, or those who plan to add them in the future, should opt for a hybrid inverter, which can also convert the power from the panels for use or storage.

Inverters have different power ratings in kilowatts (kW) that dictate how much power you can draw at any given moment. Households with modest needs may get by with a 3.6-kW inverter, but that limits your continuous draw to 3.6 kW. They usually have a peak load capability that goes higher, enabling you to pull more for a brief period. If you have high-demand appliances like an EV charger or heat pump, you will want at least 5 kW, and folks with larger demands or larger batteries will want to go higher (6 to 10 kW).

What Should I Look For?

There are several things to watch out for when buying a home battery:

  • Capacity: Measured in kilowatt-hours (kWh), this tells you how much total energy the battery can hold.
  • Power output: Measured in kilowatts (kW), this shows how much energy the battery and inverter can deliver at any moment.
  • Depth of discharge: This is how much of the battery’s capacity you can safely use without damaging it.
  • Efficiency: This is the percentage of the power you put into the battery that you can actually use, because some energy is always lost in the storage process.
  • Warranty: This is a guarantee about the minimum performance you can expect before a battery degrades (they all degrade over time), and it’s often stated in years and charging cycles (whichever comes first). For example, EcoFlow promises at least 70 percent capacity after 15 years or 6,000 charging cycles.

How Much Home Battery Do You Need?

Image may contain Electronics Mobile Phone Phone Computer Hardware and Hardware

EcoFlow via Simon Hill

It can be tricky to calculate how much battery capacity you need, and it depends on your use case. If you want to guard against outages or live off-grid, you must consider how much power you use over time and also the sum of your maximum power usage at any given moment to ensure your capacity in kWh and output in kW are enough. If the output is not high enough you may not be able to run power-hungry appliances at the same time, so you’ll have to think about how you use your power.

For folks like me, simply looking to buy at a cheaper rate to use when power is more expensive, any capacity will benefit you. But if you have a cheap six-hour rate overnight, for example, then you ideally want it to last for the other 18 hours. It makes sense to get as much as you can up-front because the installation costs are high. Even adding to modular systems later often requires professional installation to avoid voiding your warranty.

Do You Need Upgrades or Permission?

The home battery will connect to your main electrical panel via a cable, and it may require some upgrades. There was no room on my fuse board when I got a home battery installed, so they had to install a second breaker box.

Some inverters may require permission from your electric distribution utility or local distribution company. Here in Scotland, the distribution network operator must approve your inverter, but you can install and then notify up to 3.6 kW, whereas larger inverters require prior approval.

#Home #Batteries #Arent #Doomsday #Preppers #Heresshopping,energy,batteries,how-to,smart home,power

With electricity costs soaring, home batteries have never looked so attractive. Whether you want to…

littered across the United States, the relics of earlier eras of fossil fuel production. A large number of the sites have no official owner, and many are still polluting groundwater and leaking heat-trapping methane. The country has barely scratched the surface in dealing with this problem.

Policymakers in both Republican- and Democratic-led states are exploring whether these sites could instead be converted into new wells for producing geothermal energy. The holes are already drilled in the ground, after all. And regions with widespread oil and gas development have rich subsurface data that geothermal firms need in order to determine where and how to build their carbon-free systems.

The concept is relatively new and largely untested, though scientists and startups are working to change that. States are also laying the groundwork for action by lifting regulatory hurdles and launching in-depth studies.

In Oklahoma, the state Senate is considering a bill that would create a process for companies to buy abandoned oil and gas wells and repurpose them for geothermal energy or underground energy storage. Oklahoma has identified over 20,000 such wells, and state regulators estimate that it would take 235 years and hundreds of millions of dollars to plug all of them. Fixing a single old well can cost anywhere from $75,000 to $150,000 or more, by some calculations, depending on where it’s located and how complicated it is to clean up.

The Well Repurposing Act, which passed Oklahoma’s House in March, is modeled after a similar law that New Mexico adopted last year to address its 2,000-plus orphan wells.

The Oklahoma bill ​“recognizes that these wells are a liability, and that there may be a way to turn them into some sort of revenue generation and give them value,” said Dave Tragethon, communications director for the nonprofit Well Done Foundation, which works to find and cap abandoned oil and gas wells nationwide. ​“And if there’s value, that means there’s more of a willingness to address them and more of an opportunity to raise funding.”

In Alabama, legislators passed a law last month that allows the state to approve and regulate the conversion of oil and gas wells to tap alternative energy resources like geothermal. North Dakota adopted a bill last year requiring a legislative council to study the feasibility of using nonproductive wells to generate geothermal power. And in Colorado, state agencies just launched a technical study to evaluate the potential of repurposing old wells for geothermal development and carbon capture and sequestration.

These efforts reflect the growing bipartisan support for geothermal energy, which has largely remained unscathed by the Trump administration’s efforts to block renewable energy projects. The energy resource has the potential to help meet the nation’s soaring energy demand while also slashing planet-warming emissions from electricity and heating.

Converting Wells Is Enticing but Complicated

Geothermal systems work by circulating fluids underground to capture naturally occurring heat, which can then be used to drive turbines for generating electricity or to directly warm the air and water in buildings. The industry is gaining momentum thanks to recent advances in drilling methods and technologies that are making it technically possible or financially viable to access geothermal energy in more places.

Many of those breakthroughs have come from the oil and gas industry, whose skilled workforce of drilling engineers and geoscientists, and deep corporate pockets, have helped launch startups and deploy cutting-edge systems. However, most of that expertise and funding is being poured into building new projects—not figuring out how to retool leaky wells left behind by earlier generations.

#Oil #Gas #Wells #Find #Life #Producing #Clean #Energyenvironment,energy,climate change,climate desk,policy"> Old Oil and Gas Wells Could Find Second Life Producing Clean EnergyAs states seek out much-needed supplies of clean, reliable energy, some are looking to an unconventional source: abandoned oil and gas wells harnessed for geothermal heat.Millions of inactive wells are littered across the United States, the relics of earlier eras of fossil fuel production. A large number of the sites have no official owner, and many are still polluting groundwater and leaking heat-trapping methane. The country has barely scratched the surface in dealing with this problem.Policymakers in both Republican- and Democratic-led states are exploring whether these sites could instead be converted into new wells for producing geothermal energy. The holes are already drilled in the ground, after all. And regions with widespread oil and gas development have rich subsurface data that geothermal firms need in order to determine where and how to build their carbon-free systems.The concept is relatively new and largely untested, though scientists and startups are working to change that. States are also laying the groundwork for action by lifting regulatory hurdles and launching in-depth studies.In Oklahoma, the state Senate is considering a bill that would create a process for companies to buy abandoned oil and gas wells and repurpose them for geothermal energy or underground energy storage. Oklahoma has identified over 20,000 such wells, and state regulators estimate that it would take 235 years and hundreds of millions of dollars to plug all of them. Fixing a single old well can cost anywhere from ,000 to 0,000 or more, by some calculations, depending on where it’s located and how complicated it is to clean up.The Well Repurposing Act, which passed Oklahoma’s House in March, is modeled after a similar law that New Mexico adopted last year to address its 2,000-plus orphan wells.The Oklahoma bill ​“recognizes that these wells are a liability, and that there may be a way to turn them into some sort of revenue generation and give them value,” said Dave Tragethon, communications director for the nonprofit Well Done Foundation, which works to find and cap abandoned oil and gas wells nationwide. ​“And if there’s value, that means there’s more of a willingness to address them and more of an opportunity to raise funding.”In Alabama, legislators passed a law last month that allows the state to approve and regulate the conversion of oil and gas wells to tap alternative energy resources like geothermal. North Dakota adopted a bill last year requiring a legislative council to study the feasibility of using nonproductive wells to generate geothermal power. And in Colorado, state agencies just launched a technical study to evaluate the potential of repurposing old wells for geothermal development and carbon capture and sequestration.These efforts reflect the growing bipartisan support for geothermal energy, which has largely remained unscathed by the Trump administration’s efforts to block renewable energy projects. The energy resource has the potential to help meet the nation’s soaring energy demand while also slashing planet-warming emissions from electricity and heating.Converting Wells Is Enticing but ComplicatedGeothermal systems work by circulating fluids underground to capture naturally occurring heat, which can then be used to drive turbines for generating electricity or to directly warm the air and water in buildings. The industry is gaining momentum thanks to recent advances in drilling methods and technologies that are making it technically possible or financially viable to access geothermal energy in more places.Many of those breakthroughs have come from the oil and gas industry, whose skilled workforce of drilling engineers and geoscientists, and deep corporate pockets, have helped launch startups and deploy cutting-edge systems. However, most of that expertise and funding is being poured into building new projects—not figuring out how to retool leaky wells left behind by earlier generations.#Oil #Gas #Wells #Find #Life #Producing #Clean #Energyenvironment,energy,climate change,climate desk,policy
Tech-news

littered across the United States, the relics of earlier eras of fossil fuel production. A large number of the sites have no official owner, and many are still polluting groundwater and leaking heat-trapping methane. The country has barely scratched the surface in dealing with this problem.

Policymakers in both Republican- and Democratic-led states are exploring whether these sites could instead be converted into new wells for producing geothermal energy. The holes are already drilled in the ground, after all. And regions with widespread oil and gas development have rich subsurface data that geothermal firms need in order to determine where and how to build their carbon-free systems.

The concept is relatively new and largely untested, though scientists and startups are working to change that. States are also laying the groundwork for action by lifting regulatory hurdles and launching in-depth studies.

In Oklahoma, the state Senate is considering a bill that would create a process for companies to buy abandoned oil and gas wells and repurpose them for geothermal energy or underground energy storage. Oklahoma has identified over 20,000 such wells, and state regulators estimate that it would take 235 years and hundreds of millions of dollars to plug all of them. Fixing a single old well can cost anywhere from $75,000 to $150,000 or more, by some calculations, depending on where it’s located and how complicated it is to clean up.

The Well Repurposing Act, which passed Oklahoma’s House in March, is modeled after a similar law that New Mexico adopted last year to address its 2,000-plus orphan wells.

The Oklahoma bill ​“recognizes that these wells are a liability, and that there may be a way to turn them into some sort of revenue generation and give them value,” said Dave Tragethon, communications director for the nonprofit Well Done Foundation, which works to find and cap abandoned oil and gas wells nationwide. ​“And if there’s value, that means there’s more of a willingness to address them and more of an opportunity to raise funding.”

In Alabama, legislators passed a law last month that allows the state to approve and regulate the conversion of oil and gas wells to tap alternative energy resources like geothermal. North Dakota adopted a bill last year requiring a legislative council to study the feasibility of using nonproductive wells to generate geothermal power. And in Colorado, state agencies just launched a technical study to evaluate the potential of repurposing old wells for geothermal development and carbon capture and sequestration.

These efforts reflect the growing bipartisan support for geothermal energy, which has largely remained unscathed by the Trump administration’s efforts to block renewable energy projects. The energy resource has the potential to help meet the nation’s soaring energy demand while also slashing planet-warming emissions from electricity and heating.

Converting Wells Is Enticing but Complicated

Geothermal systems work by circulating fluids underground to capture naturally occurring heat, which can then be used to drive turbines for generating electricity or to directly warm the air and water in buildings. The industry is gaining momentum thanks to recent advances in drilling methods and technologies that are making it technically possible or financially viable to access geothermal energy in more places.

Many of those breakthroughs have come from the oil and gas industry, whose skilled workforce of drilling engineers and geoscientists, and deep corporate pockets, have helped launch startups and deploy cutting-edge systems. However, most of that expertise and funding is being poured into building new projects—not figuring out how to retool leaky wells left behind by earlier generations.

#Oil #Gas #Wells #Find #Life #Producing #Clean #Energyenvironment,energy,climate change,climate desk,policy">Old Oil and Gas Wells Could Find Second Life Producing Clean Energy

As states seek out much-needed supplies of clean, reliable energy, some are looking to an unconventional source: abandoned oil and gas wells harnessed for geothermal heat.

Millions of inactive wells are littered across the United States, the relics of earlier eras of fossil fuel production. A large number of the sites have no official owner, and many are still polluting groundwater and leaking heat-trapping methane. The country has barely scratched the surface in dealing with this problem.

Policymakers in both Republican- and Democratic-led states are exploring whether these sites could instead be converted into new wells for producing geothermal energy. The holes are already drilled in the ground, after all. And regions with widespread oil and gas development have rich subsurface data that geothermal firms need in order to determine where and how to build their carbon-free systems.

The concept is relatively new and largely untested, though scientists and startups are working to change that. States are also laying the groundwork for action by lifting regulatory hurdles and launching in-depth studies.

In Oklahoma, the state Senate is considering a bill that would create a process for companies to buy abandoned oil and gas wells and repurpose them for geothermal energy or underground energy storage. Oklahoma has identified over 20,000 such wells, and state regulators estimate that it would take 235 years and hundreds of millions of dollars to plug all of them. Fixing a single old well can cost anywhere from $75,000 to $150,000 or more, by some calculations, depending on where it’s located and how complicated it is to clean up.

The Well Repurposing Act, which passed Oklahoma’s House in March, is modeled after a similar law that New Mexico adopted last year to address its 2,000-plus orphan wells.

The Oklahoma bill ​“recognizes that these wells are a liability, and that there may be a way to turn them into some sort of revenue generation and give them value,” said Dave Tragethon, communications director for the nonprofit Well Done Foundation, which works to find and cap abandoned oil and gas wells nationwide. ​“And if there’s value, that means there’s more of a willingness to address them and more of an opportunity to raise funding.”

In Alabama, legislators passed a law last month that allows the state to approve and regulate the conversion of oil and gas wells to tap alternative energy resources like geothermal. North Dakota adopted a bill last year requiring a legislative council to study the feasibility of using nonproductive wells to generate geothermal power. And in Colorado, state agencies just launched a technical study to evaluate the potential of repurposing old wells for geothermal development and carbon capture and sequestration.

These efforts reflect the growing bipartisan support for geothermal energy, which has largely remained unscathed by the Trump administration’s efforts to block renewable energy projects. The energy resource has the potential to help meet the nation’s soaring energy demand while also slashing planet-warming emissions from electricity and heating.

Converting Wells Is Enticing but Complicated

Geothermal systems work by circulating fluids underground to capture naturally occurring heat, which can then be used to drive turbines for generating electricity or to directly warm the air and water in buildings. The industry is gaining momentum thanks to recent advances in drilling methods and technologies that are making it technically possible or financially viable to access geothermal energy in more places.

Many of those breakthroughs have come from the oil and gas industry, whose skilled workforce of drilling engineers and geoscientists, and deep corporate pockets, have helped launch startups and deploy cutting-edge systems. However, most of that expertise and funding is being poured into building new projects—not figuring out how to retool leaky wells left behind by earlier generations.

#Oil #Gas #Wells #Find #Life #Producing #Clean #Energyenvironment,energy,climate change,climate desk,policy

As states seek out much-needed supplies of clean, reliable energy, some are looking to an…

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