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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The authors write that even simple deep-learning architectures can identify a leak using pressure data. -
We need to analyze the carbon intensity of reserves, the potential emissions that are in front of us, not just the carbon intensity of current operations. An engineering solution associated with production forecasts over time offers a framework for thinking through the carbon-emissions issue.
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The authors demonstrate how artificial intelligence and machine learning can help build a purely data-driven reservoir simulation model that successfully history matches dynamic variables for wells in a complex offshore field and that can be used for production forecasting.
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The recent cyberattack on Colonial Pipeline’s IT system has thrust the issue of oil and gas industry cybersecurity into the spotlight, which, according to specialists in the field, is where it should always be.
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One of the major characteristics of petroleum data analytics is its incorporation of explainable artificial intelligence (XAI). Predictive models of petroleum data analytics are not represented through unexplainable black-box behavior. Predictive models of petroleum data analytics are reasonably explainable. This second part of a two-part series presents the use of XA…
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The latest iteration of the Top500 list puts the Perlmutter supercomputer at Lawrence Berkeley Laboratory in the spotlight.
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The new data-management platform is designed to increase access to energy data.
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The US represents the largest regional market, while China is expected to emerge as the fastest-growing market.
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One of the major characteristics of petroleum data analytics is its incorporation of explainable artificial intelligence (XAI). Predictive models of petroleum data analytics are not represented through unexplainable black-box behavior. Predictive models of petroleum data analytics are reasonably explainable. This first part of a two-part series presents the history of…
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The carbon footprint of Bitcoin and other cryptocurrencies has been making headlines recently. This article explains what drives their energy consumption and presents alternative approaches.
