Lithology prediction from well log data using machine learning techniques: A case study from Talcher coalfield, Eastern India

Integrated lithology identification based on images and elemental data from rocks

(2021) Zhenhao Xu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Extreme learning machine for multivariate reservoir characterization

(2021) Xingye Liu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Generating pseudo density log from drilling and logging-while-drilling data using extreme gradient boosting (XGBoost)

(2020) Ruizhi Zhong et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Evaluation of machine learning methods for lithology classification using geophysical data

(2020) Thiago Santi Bressan et al.   COMPUTERS & GEOSCIENCES

A Data-Driven Approach for Lithology Identification Based on Parameter-Optimized Ensemble Learning

(2020) Zhixue Sun et al.   Energies

Deep learning reservoir porosity prediction based on multilayer long short-term memory network

(2020) Wei Chen et al.   GEOPHYSICS

Assessment of machine-learning techniques in predicting lithofluid facies logs in hydrocarbon wells

(2019) Saba Keynejad et al.   Interpretation-A Journal of Subsurface Characterization

Artificial Intelligence & Machine Learning in the Earth Sciences

(2019) Norman MacLEOD   ACTA GEOLOGICA SINICA-ENGLISH EDITION

Automated classification of metamorphosed coal from geophysical log data using supervised machine learning techniques

(2019) Kane Maxwell et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Machine learning methods applied to drilling rate of penetration prediction and optimization - A review

(2019) Luís Felipe F.M. Barbosa et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances

(2018) Yunxin Xie et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Testing cluster analysis on combined petrophysical and geochemical data for rock mass classification

(2017) Maria C. Kitzig et al.   Exploration Geophysics

Electrofacies analysis for coal lithotype profiling based on high-resolution wireline log data

(2016) A. Roslin et al.   COMPUTERS & GEOSCIENCES

Estimation of ash, moisture content and detection of coal lithofacies from well logs using regression and artificial neural network modelling

(2016) Sayan Ghosh et al.   FUEL

Improving coal quality estimation through multiple geophysical log analysis

(2016) Binzhong Zhou et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA

(2016) Shuvajit Bhattacharya et al.   Journal of Natural Gas Science and Engineering

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

Evaluation of automated lithology classification architectures using highly-sampled wireline logs for coal exploration

(2015) Tom Horrocks et al.   COMPUTERS & GEOSCIENCES

Methodology of organic-rich shale lithofacies identification and prediction: A case study from Marcellus Shale in the Appalachian basin

(2012) Guochang Wang et al.   COMPUTERS & GEOSCIENCES

In situ estimation of roof rock strength using sonic logging

(2010) David C. Oyler et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Toward improved coal density estimation from geophysical logs

(2008) Binzhong Zhou et al.   Exploration Geophysics

Predicting formation lithology from log data by using a neural network

(2008) Kexiong Wang et al.   Petroleum Science