logging
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This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness. -
This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.
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This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.
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This paper presents a complete digital workflow applied to several greenfields in the Asia Pacific region that leads to successful deep-transient-testing operations initiated from intelligent planning that positively affected field-development decisions.
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Regional pore-pressure variations in the Leonardian- and Wolfcampian-age producing strata in the Midland and Delaware basins are studied using a variety of subsurface data.
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The authors of this paper describe how deployment of dual-casing cement-bond-logging technology has provided critical insights in real time for decision-making on remedial jobs.
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SponsoredWith more surface facilities and infrastructure in oil and gas fields, well casing integrity is becoming an even bigger challenge. This article sheds light on the optimum way to deal with the increasing casing integrity challenges in the Middle East through field monitoring and time-lapse casing-integrity and corrosion-inspection logging.
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This paper describes an openhole wireline-logging operation in a deepwater Gulf of Mexico well in a high-pressure/high-temperature slimhole environment using water-based reservoir drilling fluid.
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The authors of this paper present a method of retrieving downhole data that is a practical and inexpensive alternative to wireline or slickline logging and permanently installed sensors.
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This paper presents field cases of a rigless wireline logging technique that accurately locates sources of water production in cased wells with standalone sand screens in an offshore field in the Caspian Sea.
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