has been cited by the following article(s):
[1]
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Prediction of Velocity, Gas Content from Neural Network Modeling and Estimation of Coal Bed Permeability from Image log in Coal Bed Methane Reservoirs …
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2021 |
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[2]
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Prediction of hydrocarbon reservoirs within coal-bearing formations
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2020 |
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[3]
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COALBED METHANE COMPREHENSIVE CHARACTERIZATION AND MODELING–BIG GEORGE COAL, POWDER RIVER BASIN, WYOMING
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2019 |
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[4]
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Application of well logging techniques for identification of coal seams: a case study of Auranga coalfield, Latehar District, Jharkhand state, India
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2018 |
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[5]
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Prediction of Compressional Wave Velocity Using Regression and Neural Network Modeling and Estimation of Stress Orientation in Bokaro Coalfield, India
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Pure and Applied Geophysics,
2018 |
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[6]
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The use of cross-plots in lithology delineation and petrophysical evaluation of some wells in the western Coastal Swamp, Niger Delta
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Journal of Petroleum Exploration and Production Technology,
2017 |
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[7]
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Delineating coal seams and establishing water tightness by electrical resistivity imaging
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CURRENT SCIENCE,
2015 |
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[8]
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Identification of Coal Litho-units for Coal Bed Methane Exploration from Well Logs using Artificial Neural Network Techniques
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Identification of Coal lithology using Artificial Neural Network Techniques,
2015 |
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[9]
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Delineating coal seams and establishing water tightness by electrical resistivity imaging.
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Current Science,
2015 |
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[10]
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Article Open Access
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[1]
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Integrated 3D geological analysis of hydrocarbon maturation and migration in rift basins: Insights from the Niger Chad Basin
Journal of African Earth Sciences,
2024
DOI:10.1016/j.jafrearsci.2023.105157
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[2]
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Automatic lithology modelling of coal beds using the joint interpretation of principal component analysis (PCA) and continuous wavelet transform (CWT)
Journal of Earth System Science,
2023
DOI:10.1007/s12040-022-02018-5
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[3]
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Prediction of velocity, gas content from neural network modeling and estimation of coal bed permeability from image log in coal bed methane reservoirs: Case study of South Karanpura Coalfield, India
Results in Geophysical Sciences,
2021
DOI:10.1016/j.ringps.2021.100021
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[4]
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Prediction of hydrocarbon reservoirs within coal-bearing formations
Journal of Geophysics and Engineering,
2020
DOI:10.1093/jge/gxaa007
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[5]
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The use of cross-plots in lithology delineation and petrophysical evaluation of some wells in the western Coastal Swamp, Niger Delta
Journal of Petroleum Exploration and Production Technology,
2017
DOI:10.1007/s13202-017-0364-9
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[6]
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Prediction of Compressional Wave Velocity Using Regression and Neural Network Modeling and Estimation of Stress Orientation in Bokaro Coalfield, India
Pure and Applied Geophysics,
2017
DOI:10.1007/s00024-017-1672-1
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