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 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.
This work uses a novel pseudosteady-state-based simulation to reduce training-data-generation cost while maintaining high-performance predictions of data-driven proxy models for carbon-sequestration projects.
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This paper offers an exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the lessons learned from implementation in a smart oil field that uses several types of MPFM.
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This paper presents a self-supervised approach for training a seismic foundation model and demonstrates scenarios in which it is used for seismic data conditioning, interpretation, and inversion through six real-use cases.
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This paper provides an overview of an operator’s application of 4D time-lapse seismic technology over approximately a decade and includes future perspectives.
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Seismic technology continues to progress at a remarkable pace, driven by advances in artificial intelligence, imaging, interpretation, monitoring, and the expansion of seismic applications across the wider energy sector. One clear trend is the industry’s move toward high-frequency and ultrahigh-resolution seismic, which has pushed the limits of what can be resolved in…
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This study integrates recently developed formation testing with advanced petrophysical logging to address limitations of traditional methods in volcanic breccia formations.
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This Technology Focus highlights three developments in formation evaluation related to measurement, interpretation, and integration.
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This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
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A final investment decision is also expected by the end of the year for the company’s first low-carbon data center project.
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Malampaya East discovery is estimated to hold 98 Bcf of gas and may help offset declines at the country’s only producing gas field.
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The acquisition adds 2.1 Bcf/D of production and pipeline infrastructure in Texas and Louisiana.