Reservoir
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
This paper presents a study that confirms glass-reinforced-epoxy-lined tubing as a reliable, cost-effective solution for long-term water-injection service in moderate-salinity offshore environments.
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
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In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems. -
This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
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This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.
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The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
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These three papers leverage machine learning and hybrid methods to tackle challenges in forecasting, optimization, and reservoir characterization.
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Advanced tracer technology was deployed in Oklahoma to analyze production across lateral well sections.
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The first phase of the Norwegian project is expected to receive its first carbon dioxide this year, with the second phase slated to start operations in late 2028.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.
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Argentina’s YPF forecasts the $3 billion oil pipeline and export terminal will carry 180,000 B/D when it goes onstream in 2026.
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The new joint venture aims to apply US expertise to unlock Turkey's domestic unconventional resources, helping it to achieve its goal of energy independence and to become a regional hub and major exporter of LNG.
