Digital Oil Field
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 presents a comprehensive technical review of applications of distributed acoustic sensing. -
The heated global floating rig market has day rates for high-end units climbing over a half million dollars and toward a newbuild cycle that will (likely) never come.
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This paper presents an intelligent tube solution that combines data retrieved by the sensors with the actual resistance of each pipe in the well to allow adjustment of production parameters while ensuring installation safety.
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This paper describes an intelligent completion design installed in two deepwater wells with dual-zone stack-pack sand-control lower completions and the installation of an intermediate string to isolate the reservoir in each zone.
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This paper describes a solutions hub that integrates engineering tools to maximize value and improve decision quality using recent digital technologies.
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This paper proposes a series of work flows to simplify model deployment and set up an automatic advisory system to provide insight in justifying an engineer’s day-to-day engineering decisions.
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This paper presents an artificial intelligence algorithm called dual heuristic dynamic programming that can be used to solve petroleum optimization-control problems.
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This paper describes an approach implemented by the operator to solve research and development challenges by creating in-house infrastructure of both software and hardware.
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This paper compiles recommendations from a broad range of sources into a single document to aid future intelligent-completion installations and operations.
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The supermajor and oilfield service company have teamed up for the second time in 4 years on the deployment of a new optimization software.
