... provides a transferable framework for rapid, large-scale assessments of CO 2 injection in saline aquifers worldwide. geologist flow in porous media geology artificial intelligence injectivity enhanced recovery fluid dynamics subsurface storage machine learning co2 injectivity geological...

... Abstract Integrating well-logs and time-lapse seismic data to estimate spatial CO 2 saturation in reservoirs is essential to geological carbon storage, monitoring, and management. This study leveraged pre-stack Amplitude-vs-Angle (AVA) attributes with machine-learning techniques to estimate...

... Abstract Expectations are high for generative AI and machine learning workflows increasing potential profitability of CCUS enterprises (Yao et al., 2023). Advanced data management technologies are enabling the re-use of subsurface technical knowledge contained in unstructured files from...

... Abstract This work aims to develop a surrogate model (machine learning-based) to expedite the assessment of geologic CO 2 storage (GCS) sites by predicting the CO 2 containment efficiency of saline aquifers. Derisking as much as possible geologic CO 2 storage resources is an absolute...

... framework can be used to improve the computational demand of coupled-physics modeling and facilitate its application to decision-making workflows and field management. neural network reservoir geomechanics information simulation geologist subsurface storage machine learning prediction...

... of immobile oil. Yet, they represent substantial subsurface volume suitable for CO2 sequestration and storage. However, there is a deficiency of effective techniques for assessing the performance of CO2-EOR in coupled with CCUS in ROZs. This study introduces the use of Machine Learning techniques to assess...

... and demonstrates to be an efficient valuable, and accurate method for CO2 monitoring. geologist subsurface storage artificial intelligence compound geochemistry geological subdiscipline laboratory climate change information geochemical characterization separation geology machine learning...

... simulation machine learning enhanced recovery production control workflow prediction architecture flow in porous media production monitoring reservoir characterization sciencedirect multiplier 0 ensemble reservoir surveillance scaling method climate change datta-gupta injector evolution...

... geological subdiscipline fast marching method co 2 assessment geomechanics simulation reservoir geomechanics machine learning grid application workflow structural geology artificial intelligence reservoir characterization calculation datta-gupta dtof injection fine-scale grid...

... subdiscipline aor delineation leakage artificial intelligence machine learning injection formation sedimentology sedimentary geology depositional environment climate change scenario history usdw new mexico integrity permeability sequestration caprock CCUS: 4014941 The Implementation...