AI/machine learning
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
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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. -
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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The media is often tempted to report each tiny new advance in a field, be it artificial intelligence or nanotechnology, as a great triumph that will soon fundamentally alter our world. Occasionally, of course, new discoveries are underreported.
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Using deep-learning and computer-vision techniques, the software recognizes all instances of specific instruments, valves, lines, and other features in a P&I diagram in seconds.
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The November issues of SPE’s peer-reviewed journals SPE Reservoir Evaluation & Engineering and SPE Production & Operations include papers addressing data analytics and machine learning.
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Microsoft announced that it will open an AI Center of Excellence for Energy in the United Arab Emirates—a global first for the company—to empower organizations in the industry in accelerating digital transformation and equipping their workforce with AI skills.
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Just because they both deal with data does not mean they are the same.
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Neural networks that borrow strategies from biology are making profound leaps in their abilities. Is ignoring a goal the best way to make truly intelligent machines?
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Sensors, robots, and artificial intelligence have made their way into a number of areas within the industry, including pipeline inspections. Shell has begun to examine the innovative technologies that could shift the inspection paradigm.
