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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Should that outside hotshot lead your digital transformation work or an insider who knows more about the culture and customers? -
This paper investigates the most important independent variables, including petrophysics and completion parameters, to estimate ultimate recovery with a machine-learning algorithm. A novel machine-learning model based on random forest regression is introduced to predict estimated ultimate recovery.
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As this year comes to a close, it has been defined by some big themes in oil and gas data management: innovation, collaboration, governance, stuck proofs of concept, trendy tech, and oil shaming.
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What is explainability in artificial intelligence, and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.
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Leaders in the AI community came together to release the 2019 AI Index report, an annual attempt to examine the biggest trends shaping the AI industry, breakthrough research, and AI’s impact to society.
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A Denver-based company has been installing data centers at shale drilling sites to take advantage of excess natural gas. Now, according to a new Bloomberg report, that company hopes to harness some of that gas to power data centers for Bitcoin mining.
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Schlumberger and Dataiku have entered into an exclusive technology partnership that will enable companies in the exploration and production industry to build and deploy their own artificial intelligence solutions across the full breadth of their upstream work flows.
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The December issue of the peer-reviewed SPE Journal includes a spotlight section on data analytics, presenting paper SPE 195698, “Prediction of Shale-Gas Production at Duvernay Formation Using Deep-Learning Algorithm.”
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Companies should disclose instances of cyber-enabled intellectual property theft. Disclosure requirements would give companies greater incentives to protect their intellectual property and allow investors to make better-informed decisions.
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The organization said the new standard, which focuses on air safety and data protection, is the first step in a wider move to promote the use of drones within a framework of approved regulatory compliance.
