Nvidia AI Tech Increases Carbon Capture and Storage Predictions 700,000-fold

Nvidia Corporation, a giant technology company that is a leading provider of artificial intelligence (AI) hardware and software, has unveiled its new approach to carbon capture and storage (CCS) that scientists and engineers can use to accelerate carbon sequestration .

Carbon capture and storage, also called carbon sequestration, is one way to mitigate climate change by redirecting carbon deep underground. In the process, CCS scientists must prevent the geological formations into which the carbon is injected from fracturing, and CO2 from escaping into groundwater or, worse, into the atmosphere.

This can happen if there is too much pressure built up due to the process of injecting carbon into the rock formations. This, and more, is what Nvidia’s Ai-based technology is targeting to help improve carbon sequestration.

Nvidia AI: Carbon capture modeling increased 700,000 times

CCS is one of the few methods that industries like oil and gas, cement and steel can implement to decarbonise and achieve their net zero goals. More than a hundred CCS facilities are under construction worldwide.

Traditional carbon sequestration simulators are expensive to own and time consuming to complete. Machine learning and AI models offer the same level of accuracy but at a reduced cost and time.

Nvidia introduces its AI approach to carbon sequestration that CCS scientists can readily use in real-world applications through Nvidia Modulus and Nvidia Omniverse.

Nvidia AI-powered technology accelerates CCS modeling 700,000x using Fourier Neural Operator (FNO) architecture.

Nvidia’s approach to CCS modeling

Nvidia FNO model for carbon capture and storage
Source: Nvidia website

The FNO architecture provides more accurate predictions of pressure buildup and CO2 saturation. His 2x just as accurate while only needing one-third the training data of other computer models.

Therefore, the software helps CCS engineers quickly choose the best injection sites, identify optimal well spacing and depth, as well as determine the best injection pressure and rate for the captured carbon. Additionally, engineers can visualize and optimize the entire inspection process NVIDIA Omniverse.

With its superior computational capabilities, Nvidia software increases the speed of carbon sequestration simulation by 700,000 times. A robust assessment of the CO2 plume and pressure buildup usually takes approx 2 years using numerical simulators. But with Nvidias FNO, that might be necessary 2.8 seconds only.

Nvidia FNO trained models are available in a web application provide real-time simulations for carbon capture and storage projects.

Thus, AI technology enables various vital activities in making CCS decisions.

Improving carbon sequestration

Scientists use simulations or carbon storage models to choose the right sites and CO2 injection rates. Modeling also helps them optimize storage efficiency, control pressure build-up and make sure rock formations are not fractured.

CCS engineers also need to understand how the injected CO2 will diffuse into the ground, also called a CO2 plume.

Nvidia technology has been found useful by a study to achieve AI-based carbon capture and storage with large-scale interactivity. Using it, engineers can interact with models to ensure the reliability and safety of a CCS project. A safe and accurate CO2 storage process can help reduce the amount of carbon that escapes into the air.

Here’s a video from Nvidia explaining the CCS process and how its AI technology can help speed things up.

FNO allows scientists to simulate how pressure levels build up and where CO2 diffuses during 30 years of injection. Acceleration using this AI-powered model accelerates the simulation process from ten minutes to seconds.

Without this technology, selecting injection sites for CO2 would seem like a blind shot.

AI for Net Zero

Achieving net zero emissions by 2050 requires a combination of several scalable technologies such as CCS.

According to the International Energy Agency (IEA) report, planned global carbon storage capacity increased by 80% in 2022. In the same year, there is also a 30% increase in planned carbon capture capacity. carbon.

Recent breakthroughs in AI, with models like Nvidias FNO, can help boost CCS modeling by orders of magnitude. This is critical to help CCS technologies grow.

There are other AI innovations used in the industry as well.

For example, Ohio-based analytics firm Aperture launched its Carbon Capture Space last year. It is an AI-powered platform that offers industry analysts and investors insights into over 1,000 technologies for CCS.

Nvidias Earth-2, which will be the world’s first AI digital twin supercomputer, will leverage FNO models. This technology will further show how AI can help accelerate the climate change mitigation process.

The tech company now outpaces Tesla as the AI ​​revolution pushes its stock to record highs 200%. ESG investors favor it over other traditional assets, with more than 1,400 ESG funds directly owning Nvidia, according to the Bloomberg report.

Nvidia and its AI models will help address the climate crisis by contributing to global climate change mitigation efforts. Harnessing the AI ​​revolution would be one way for the world to be on track to net zero.

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Image Source : carboncredits.com

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