Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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Artificial intelligence is opening new ways to analyze data from microseismic events that occur during hydraulic fracturing. One researcher at Moscow’s Skolkovo Institute of Science and Technology is building a convolutional neural network to get a subsurface view of permeability after fracturing. -
The cultural perception of AI is often suspect because of the challenges in knowing why a deep neural network makes its predictions. So researchers try to crack open this black box after a network is trained to correlate results with inputs. But what if the goal of explainability could be designed into the network's architecture, before the model is trained and withou…
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Using a method called quantum annealing, D-Wave's researchers demonstrated that a quantum computational advantage could be achieved over classical means.
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The Environmental Defense Fund's report called "Hitting the Mark" is a roadmap for the oil and gas industry to obtain and report good data on methane emissions. But it also laments that methane emissions data are outdated, inaccurate, and unreliable.
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The deal fills a gap in the software developer's production line that is focused on drilling, production, and land management applications.
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Wintershall Dea set out to demystify digital for engineers with an informal network of staff experts who help fill the gaps in this new way of doing things and have a focus on maximizing the return on problems previously solved.
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The country expects the digitalization project to promote Egypt’s exploration and production potential worldwide.
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Digital data startups face many hazards, from potential customers unwilling to share data to buyers who just do not see the payoff in what they are selling.
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The oil industry’s rush to capitalize on digital change has scrambled relations with service providers big and small, giving the oil companies a greater say in the process.
