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Deep Learning Assisted Inverse Modeling and Forecasting for Large-Scale Geologic CO2 Sequestration
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Accurate and Timely Forecasts of Geologic Carbon Storage using Machine Learning Methods
Carbon capture and storage is one strategy to reduce greenhouse gas emissions. One approach to storing the captured CO2 is to inject it into deep saline aquifers. However, dynamics of the injected CO2 plume is uncertain and the potential for leakage back to the atmosphere must be assessed. Thus, accurate and timely forecasts of CO2 storage via real-time measurements integration becomes very crucial. This study proposes a learning-based, inverse-free prediction method that can accurately and rapidly forecast CO2 movement and distribution with uncertainty quantification based on limited simulation and observation data. The machine learning techniques include dimension reduction, multivariate data analysis, and Bayesian learning. The outcome is expected to provide CO2 storage site operators with an effective tool for real-time decision making.
When Where and Why: The Geologic Context of Lost Circulation While Drilling in a Crystalline Geothermal Reservoir.
Abstract not provided.
When Where and Why: The Geologic Context of Lost Circulation While Drilling in a Crystalline Geothermal Reservoir.
Abstract not provided.
Development of Geologic Disposal Safety Assessment (GDSA) Framework.
Abstract not provided.
A MODEL TO PREDICT STEEL LINER PERFORMANCE IN CEMENTITIOUS ENVIRONMENTS FOR GEOLOGIC TIMEFRAMES
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Geologic Disposal Safety Assessment (GDSA) Framework Development.
Abstract not provided.
Deep Learning Accelerated History Matching and Forecasting for Geologic CO2 Sequestration
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Fracturing Following Geological Carbon Sequestration –Sandstone Geochemistry and Implications for Seismicity
Computed tomography scanning, acidic flow, and controlled geomechanical stressing of fractured rock to understand coupled geochemical and geomechanical relationship important to carbon storage.
Strategies for Machine Learning-Based Segmentation of Geologic CT Data
Workflow and results from a multi-lab examination of various machine learning based image segmentation techniques.
Safeguards for Deep Geological Repositories
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High Consequence Engineering Solutions - Safe Geologic Disposal for Radioactive Waste.
Abstract not provided.
Voronoi meshing to accurately capture geology in subsurface simulations.
Abstract not provided.