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The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs. -
The authors of this paper describe a seismic reprocessing campaign for an Egyptian oil field that had yielded poor seismic data.
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The authors of this paper investigate the application of two seismic monitoring methods in monitoring carbon leaks: full waveform inversion and reverse-time migration.
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This paper describes a method with multitiered analysis to leverage machine-learning techniques to process passive seismic monitoring data, pumping and injection pressure, and rate for fracture and fault analysis.
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This paper describes an effort to use multiple technologies to better understand an Arkoma Basin reservoir and the interdisciplinary relationship between the reservoir’s subsurface hazards and a stimulation treatment.
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The main objective of this paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions to better estimate conductive fractures and pressure profiles.
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Fresh commitments cover expansion work on the Al-Shaheen field that is expected to add 100,000 B/D of oil production once completed.
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Incorporating technology with items worn on the person, intelligent systems become a part of everyday personal protective equipment, enhancing safety without disrupting operations.
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The Vineyard Wind 1 project came online on 2 January, while appeals in several lawsuits against it remain pending.
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The oilfield service giant said it has taken another big step toward fully autonomous drilling operations in its latest project offshore Brazil.
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This paper aims to demonstrate the need for competency in a social performance skill group to support companies in human rights management.
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COP28’s “last in, last out” approach lets developing countries profit from oil and gas now to invest later in a clean energy future.
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