VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images [PDF]
Journal of Imaging, 2023 Raster logs are scanned representations of the analog data recorded in subsurface drilling. Geologists rely on these images to interpret well-log curves and deduce the physical properties of geological formations. Scanned images contain various artifacts,
M. Quamer Nasim +4 more
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Well log data generation and imputation using sequence based generative adversarial networks [PDF]
Scientific ReportsWell log analysis is significant for hydrocarbon exploration, providing detailed insights into subsurface geological formations. However, gaps and inaccuracies in well log data, often due to equipment limitations, operational challenges, and harsh ...
Abdulrahman Al-Fakih +4 more
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Physically consistent joint prediction of porosity and shale volume via core-calibrated deep learning in well-consolidated sandstones [PDF]
Scientific ReportsIn clay-sand reservoirs, shale volume affects porosity and permeability, with porosity governing storage capacity; these properties influence reserve and productivity predictions, which directly affect reservoir and economic assessments.
Weizhi Sun +4 more
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Wellbore Instability Prediction by Geomechanical Behavioral Modeling in Zilaie Oil Field [PDF]
Journal of Petroleum Science and Technology, 2023 Wellbore instability is a critical problem during oil and gas reservoirs’ drilling and production phase, for which analytical, numerical, experimental, and field methods have been widely discussed.
Amin Tohidi +2 more
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DETERMINATION OF GEOMECHANICAL ROCK PROPERTY IN THE ESTIMATION OF SANDING IN FIELD “A” IN CENTRAL NIGER DELTA [PDF]
Earth Science Malaysia, 2021 Well logs data from four wells were analysed for determining the petrophysical and geomechanical properties of two reservoirs in the study area. The parameters derived from these properties were used to predict the likelihood of the occurrence of sanding
Chollom I. Zi +2 more
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Correlation of Boreholes through Well Logs: Application to the Western Sector of Madrid
Sensors, 2023 This study correlates the results obtained from the resistivity and spontaneous potential well logs in six boreholes for water extraction, located in the multilayer siliciclastic basin in the Madrid region, in the center of the Iberian Peninsula.
Jesús Díaz-Curiel +4 more
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INFLUENCE OF PRESSURE ON POROSITY–PERMEABILITY RELATIONSHIP IN SOUTHERN NIGER DELTA, NIGERIA [PDF]
Geological Behavior, 2022 Well logs data comprising of comprising of gamma ray, spontaneous potential, density and neutron logs from four oil wells were analysed for determining the influence of pressure on porosity–permeability relationship in the study area.
Chukwu C. Ben +2 more
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DELINEATION OF HYDROCARBON SATURATED RESERVOIR SAND USING INTEGRATED 3D PRE-STACK SEISMIC AND WELL LOG DATA IN BONGA – FIELD, CENTRAL SWAMP DEPOBELT, ONSHORE NIGER DELTA, NIGERIA [PDF]
Malaysian Journal of Geosciences, 2021 This study has successfully delineated the lateral continuity of hydrocarbon saturated sand reservoir in Bonga field, Niger Delta. 3D pre-stack seismic volume and well logs from two (2) exploratory wells were employed in the pre-stack seismic inversion ...
Innocent Kiani, Aniefiok Sylvester Akpan
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Well log data super-resolution based on locally linear embedding
Oil & Gas Science and Technology, 2021 Unconventional remaining oil and gas resources such as tight oil, shale oil, and coalbed gas are currently the focus of the exploration and development of major oil fields all over the world.
Han Jian +5 more
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Prediction of thermal maturity by indirect methods using seismic attributes in the central part of the Persian Gulf [PDF]
Journal of Stratigraphy and Sedimentology Researches, 2023 In this paper, a method is proposed for the prediction of thermal maturity in the source rock using indirect methods. The applied data are well logs (neutron, density, resistance, and acoustic) in 13 wells and seismic data in six oil and gas fields in ...
Elnaz Aliakbardoust +3 more
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