Machine Learning Tools for Fossil and Geothermal Energy Production and Carbon Geo-sequestration—a Step Towards Energy Digitization and Geoscientific Digitalization
Abstract
Eighty percent of current world energy consumption is satisfied by subsurface resources. In future, billions of watts of electrical power will be generated from geothermal energy sources. Subsurface earth can store the energy produced from renewable sources, such as wind and solar, and could provide safe storage of contaminants and hazardous nuclear waste. Engineering of subsurface earth is critical for fossil energy production, geothermal...
Paper Details
Title
Machine Learning Tools for Fossil and Geothermal Energy Production and Carbon Geo-sequestration—a Step Towards Energy Digitization and Geoscientific Digitalization
Published Date
Aug 24, 2021
Volume
2
Issue
3
Pages
1225 - 1240
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