Geomaterials

Geomaterials

ISSN Print: 2161-7538
ISSN Online: 2161-7546
www.scirp.net/journal/gm
E-mail: [email protected]
Citations    
"Application of Cross-Plotting Techniques for Delineation of Coal and Non-Coal Litho-Units from Well Logs"
written by Rima Chatterjee, Suman Paul,
published by Geomaterials, Vol.2 No.4, 2012
has been cited by the following article(s):
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[1] Integrated 3D geological analysis of hydrocarbon maturation and migration in rift basins: Insights from the Niger Chad Basin
Journal of African Earth …, 2024
[2] 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
[3] Prediction of Velocity, Gas Content from Neural Network Modeling and Estimation of Coal Bed Permeability from Image log in Coal Bed Methane Reservoirs …
2021
[4] Prediction of hydrocarbon reservoirs within coal-bearing formations
2020
[5] COALBED METHANE COMPREHENSIVE CHARACTERIZATION AND MODELING–BIG GEORGE COAL, POWDER RIVER BASIN, WYOMING
2019
[6] Application of well logging techniques for identification of coal seams: a case study of Auranga coalfield, Latehar District, Jharkhand state, India
2018
[7] Prediction of Compressional Wave Velocity Using Regression and Neural Network Modeling and Estimation of Stress Orientation in Bokaro Coalfield, India
Pure and Applied Geophysics, 2018
[8] 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
[9] Delineating coal seams and establishing water tightness by electrical resistivity imaging
CURRENT SCIENCE, 2015
[10] Identification of Coal Litho-units for Coal Bed Methane Exploration from Well Logs using Artificial Neural Network Techniques
Identification of Coal lithology using Artificial Neural Network Techniques, 2015
[11] Delineating coal seams and establishing water tightness by electrical resistivity imaging.
Current Science, 2015
[12] PETROPHYSICS-DRIVEN 3D DENSITY MODELLING
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