Data & Analytics
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
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The digital twin aims to allow Petrobras to optimize system settings to maximize production, increase recovery, and reduce risk.
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The memorandum of understanding aims to improve digital work flows in the emerging carbon capture and storage industry.
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It is imperative for energy companies to assess potential legal ramifications of integrating artificial intelligence into their operations.
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For today’s oil and gas companies, digital twins offer untapped potential to decarbonize the leading source of their emissions—field production.
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The combined firm aims to create a stronger and more diversified geophysical company and energy data provider.
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SponsoredMOSAIC's advanced Automated Reconciliation to Reserves Workflows enhances accuracy, speeds up processes, and meets the need for precise asset valuation. Equip your reserves teams with reliable information and insights to reduce uncertainty, boost efficiency, and make smarter business decisions.
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Few oil and gas companies give data science projects the better part of a decade to prove out, but that’s just what this one did.
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Data and AI will change our industry for the better. At the root of this change will be the empowerment of engineers to make better decisions.
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One is on Earth, and one is not. But the knowledge transfer between the oil patch and off-world has fueled meaningful technological advances for all involved.
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The company has announced that it will be expanding the use of generative AI to assist its employees.