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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This paper develops a deep-learning work flow that can predict the changes in carbon dioxide mineralization over time and space in saline aquifers, offering a more-efficient approach compared with traditional physics-based simulations. -
This year’s history matching and forecasting selections cover a deep-learning framework to forecast spatial/temporal dynamics of CO2 mineralization in reactive rocks, productivity decline analysis using coupled full-field and near-wellbore poromechanics modeling, and a reservoir graph network model for multiwell forecasting in unconventional reservoirs.
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This paper describes the potential, challenges, and opportunities of using a modified steam-assisted gravity drainage configuration in the Mukhaizna heavy oil field in suboptimal operating conditions.
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This study aims at understanding the effect of a surfactant known as a high-temperature emulsifying agent as an additive to the steam-assisted gravity drainage process and the possibility of forming oil-in-water emulsions.
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This paper describes the implementation of a hybrid technology of cyclic steam stimulation and foam into the heavy oil field development plans of the Middle Magdalena Valley basin in Colombia.
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This paper explains how an operator’s projects in the Vaca Muerta have become more-efficient and cost-effective by increasing production and reducing well-delivery-cycle time while fostering the long-term sustainability of the project.
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This paper’s focus is a case study of an Eagle Ford refracturing project in which a range of completion designs were trialed with an approach using offset sealed wellbore pressure monitoring and fiber-optic strain.
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SponsoredExpanding its portfolio of high-tier technologies, TAQA develops a high-performance perforation-plugging patented product.
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This paper presents the mitigation of drilling challenges encountered in the Niger Delta through a technique that relates shale resistivity to shale porosity and vertical effective stress to predict pore pressure.
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The authors integrated azimuths and intensities recorded by fiber optics and compared them with post-flowback production-allocation and interference testing to identify areas of conductive fractures and offset-well communication.
