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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The authors present a new data-driven approach to estimate the injection rate in all noninstrumented wells in a large waterflooding operation accurately. -
Since the first intelligent completion was installed 20 years ago, the systems have become increasingly complex in order to reach productivity and optimization goals, allowing real-time independent monitoring and management of each zone in the well.
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In the complete paper, the authors propose a novel method to rapidly update the prediction S-curves given early production data without performing additional simulations or model updates after the data come in.
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The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real-field application.
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In a collaborative project, the possibility of measuring fluid levels in a wellbore by use of distributed optical pressure gauges was conceived, prototyped, field-trialed, and further developed to a point of widespread commercialization.
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SponsoredThe rise of digital transformation initiatives – specifically Industrial Internet of Things (IIoT) projects – is forcing O&G operators to rethink conventional, siloed operations. Learn how to bring IT and Operations together to maximize the value of IIoT across your business.
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SponsoredA new report takes a look at how digital technologies are disrupting the Oil & Gas industry and provides practical strategies for organizations to manage the process.
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The petroleum industry is becoming increasingly dependent on digital systems, and companies have ambitious plans for increased use of digital technology—along the entire value chain. A new report shows how digitalization affects health, safety, and the environment.
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Statoil’s integrated operations center on the Norwegian continental shelf is one of several initiatives operators and service companies have set in motion to improve condition monitoring and maximize production on their assets.
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There are two ongoing trends in the industry. The first is an increasing wave of digitization. Second, piggybacking on the increased access to sensor and equipment data, analytics and artificial intelligence are on an exponential rise in the industry.
