Machine Learning-Based Prediction of Well Logs Guided by Rock Physics and Its Interpretation [PDF]
SensorsThe refinement of acquired well logs has traditionally relied on predefined rock physics models, albeit with their inherent limitations and assumptions. As an alternative, effective yet less explicit machine learning (ML) techniques have emerged.
Ji Zhang +5 more
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Thermal Conductivity Estimation Based on Well Logging
Mathematics, 2021 The thermal conductivity of a stratum is a key factor to study the deep temperature distribution and the thermal structure of the basin. A huge expense of core sampling from boreholes, especially in offshore areas, makes it expensive to directly test ...
Jie Hu +3 more
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Predicting total organic carbon from few well logs aided by well-log attributes
Petroleum, 2023 Derivative/volatility well-log attributes from very few commonly recorded well logs can assist in the prediction of total organic carbon (TOC) in shales and tight formations.
David A. Wood
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RESERVOIR CHARACTERIZATION OF THE ‘SHULA FIELD’, OFFSHORE NIGER DELTA BASIN, NIGERIA: AN INTEGRATED APPROACH [PDF]
Geological Behavior, 2023 This study analyzed “Shula field” offshore Niger Delta basin for it hydrocarbon bearing capacity. Well logs and seismic data were used for the analysis.
Johnson Ajidahun +4 more
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Development of an Intelligent System to Synthesize Petrophysical Well Logs [PDF]
Iranian Journal of Oil & Gas Science and Technology, 2013 Porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. It is a vital factor in precise understanding of reservoir quality in a hydrocarbon field.
Morteza Nouri Taleghani +3 more
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Energies, 2022 The middle sub-member (Es3z) within the third member (Es3) of the Eocene Shahejie formation is the main source of the generation and accumulation of hydrocarbons in the lacustrine deltas of Bonan depression.
Nadir Fawad +3 more
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Characterization of well logs using K-mean cluster analysis
Journal of Petroleum Exploration and Production Technology, 2020 The identification process of different lithologies, hydrocarbons, and water-saturated zones in oil and gas industries involves petrophysical studies that are carried out by geoscientists using different software packages.
Amjad Ali, Chen Sheng-Chang
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Sequence Stratigraphic Interpretation of FX-1 and FX-2 wells, Onshore Western Niger Delta, Nigeria
Journal of Applied Sciences and Environmental Management, 2020 The area of study is a portion of the Greater Ughelli Depobelt in Niger Delta Basin. The main aim of the paper is to interpret the sequence stratigraphy of FX-1 and FX-2 wells by employing data sets from biostratigraphic data and well logs.
F.O. Amiewalan, F.A. Lucas
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Fracture permeability estimation utilizing conventional well logs and flow zone indicator
Petroleum Research, 2022 Characteristics of the natural open fractures on the oil and gas reservoirs is crucial in drilling and production planning. Direct methods of fractures studies such as core analysis and image log interpretation are usually not performed in all drilled ...
Hassan Bagheri, Reza Falahat
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Automated stratigraphic correlation of well logs using Attention Based Dense Network
Artificial Intelligence in Geosciences, 2023 The stratigraphic correlation of well logs plays an essential role in characterizing subsurface reservoirs. However, it suffers from a small amount of training data and expensive computing time. In this work, we propose the Attention Based Dense Network (
Yang Yang +6 more
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