Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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Colonial Pipeline shuttered its East Coast fuel pipeline system as data were hacked and held for ransom. -
The conventional wisdom about artificial intelligence is that bigger is better. But enormous neural networks come with some costs, including making it difficult for researchers to figure out how and why the software makes its predictions and decisions.
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Big data analytics is a big deal right now in the oil and gas industry. This emerging trend is on track to become an industry best practice for good reason: It improves exploration and production efficiency.
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A lot has been learned about shale, but those working to eke out oil from that ultratight rock still extract more value from data than physics.
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SponsoredThe OSDU™ Data Platform has the potential to significantly increase the interoperability of E&P data. Find out how IHS Markit is supporting adoption of the standards-based data ecosystem through its Enterprise Data Management (EDM) for Energy platform.
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The last year has seen people in many sectors unexpectedly confronting a new challenge—working remotely. Even before this, our industry has been trying to operate fields remotely (either partially or fully) and make operations smarter and more automated.
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This paper discusses the development and commissioning of one of the first fields in the UAE to be operated remotely. The designed and applied technology facilitated unmanned operation of the field from downhole to export.
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Dynamic simulation has proved an effective tool throughout the lifecycle of the deepwater Appomattox project, in large part because of implementation at an early stage.
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This paper discusses how digital technologies are being applied in other verticals and how they can be leveraged to optimize lifecycle performance, drive down costs, and decouple market volatility from profitability for offshore oil and gas facilities.
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The paper discusses a methodology for integrating intelligent completion and production systems with a modeling and analytics framework for efficient development of fiber-optic-based data-interpretation services for complex downhole environments.
