Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations
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DOI: 10.1038/s41598-025-13008-0
Abstract: Mud loss during drilling operations poses a significant problem in the oil and gas industry due to its contributions to increased costs and operational risks. This study aims to develop a reliable predictive model for… read more here.
Keywords: loss; loss volume; drilling operations; gradient boosting ... See more keywords
Formation permeability estimation using mud loss data by deep learning
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DOI: 10.1038/s41598-025-94617-7
Abstract: Permeability estimation plays an essential role in the assessment of reservoirs and hydrocarbon extraction. There are various methods to evaluate the formation and estimate the formation permeability, but in some cases, the evaluation may not… read more here.
Keywords: permeability; formation permeability; loss data; mud loss ... See more keywords
Integrated Machine Learning and Analytical Modeling for Real-Time Lost Circulation in Fractured Formations
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DOI: 10.2118/228398-pa
Abstract: Lost circulation during drilling operations in fractured formations is a significant and costly challenge in the oil and gas industry. Traditional methods for predicting mud loss often rely on time-consuming numerical or analytical techniques, which… read more here.
Keywords: lost circulation; loss; time; fractured formations ... See more keywords