
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.
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.
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.
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Shell, C3 AI, Baker Hughes, and Microsoft have teamed up to launch the Open AI Energy Initiative platform that is designed to present AI-based reliability applications to improve operational efficiency.
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Innovators at the Norwegian oil company have developed a machine-learning model that analyzes mud-gas data to predict the gas/oil ratio of wells as they are drilled—something that the industry has worked for decades to accomplish.
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Murphy Oil has created a work flow to normalize the tags it uses when collecting data on its hydraulic fracturing stages. The work flow described here empowers decision makers, who no longer wait for hours to collect data or waste hours cleaning and preparing data for analysis.
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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 But, it also laments that methane emissions data are outdated, inaccurate, and unreliable.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 authors describe challenges that must be overcome to reach the goal of drilling systems automation.
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With such uses as tracking the source of renewable energy and changing the relationship between how energy is produced and consumed, blockchain has the potential to transform the way companies collaborate and interact to accelerate the development of low-carbon energy.
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How can the famous Casino-inspired trick for data science, statistics, and all of science be done in Python?
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The proposed solution is a good candidate for real-time burner-efficiency monitoring and automatic alarm triggering and optimization.
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The authors develop an innovative machine-learning method to determine salt structures directly from gravity data.
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The work and the provided methodology provide a significant improvement in facies classification.
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This paper details the introduction of a drilling automation system to deliver superior well-construction performance in a major gas field.
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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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Aberdeen Renewable Energy Group and the European Space Agency have signed a memorandum of intent to analyze, develop, and implement space-enabled technology and services to support the renewable energy sector.
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Neuromorphic computing could completely transform everything about the technology industry from programming languages to hardware.