Well log prediction of total organic carbon: A comprehensive review

J Lai, F Zhao, Z Xia, Y Su, C Zhang, Y Tian… - Earth-Science …, 2024 - Elsevier
Source rocks are fundamental elements for petroleum systems, and Total Organic Carbon
(TOC) is one of the most important geochemical parameters in source rock property …

A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination

MB Nafouanti, J Li, EE Nyakilla… - … Science and Pollution …, 2023 - Springer
Groundwater quality in the Datong basin is threatened by high fluoride contamination.
Laboratory analysis is a standard method for estimating groundwater quality parameters …

Evaluation of Reservoir Porosity and Permeability from Well Log Data Based on an Ensemble Approach: A Comprehensive Study Incorporating Experimental …

EE Nyakilla, S Guanhua, H Hongliang… - Natural Resources …, 2025 - Springer
Permeability and porosity are key parameters in reservoir characterization for understanding
hydrocarbon flow behavior. While traditional laboratory core analysis is time-consuming …

Application of GMDH to Predict Pore Pressure from Well Logs Data: A Case Study from Southeast Sichuan Basin, China

MM Mgimba, S Jiang, EE Nyakilla… - Natural Resources …, 2023 - Springer
Pore pressure prediction is significant in the petroleum industry because, compared to direct
measurement, it is cost-effective and it generates an extensive range of data. Mathematical …

Deep learning integrated approach for hydrocarbon source rock evaluation and geochemical indicators prediction in the Jurassic-Paleogene of the Mandawa basin …

CN Mkono, S Chuanbo, AK Mulashani… - Energy, 2023 - Elsevier
The world's energy demands are growing at an unprecedented rate, and the exploration of
new hydrocarbon sources is more important than ever. Therefore, the objective of this study …

An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution

RO Silva, CM Saporetti, ZM Yaseen, E Pereira… - Neural Computing and …, 2023 - Springer
One of the most reliable indicators of the amount and condition of organic matter in a basin
is the total organic carbon (TOC) content of rock samples. The manual estimation primarily …

Prediction of TOC content in organic-rich shale using machine learning algorithms: Comparative study of random forest, support vector machine, and XGBoost

J Sun, W Dang, F Wang, H Nie, X Wei, P Li, S Zhang… - Energies, 2023 - mdpi.com
The total organic carbon (TOC) content of organic-rich shale is a key parameter in screening
for potential source rocks and sweet spots of shale oil/gas. Traditional methods of …

An Artificial Neural Network Approach for Predicting TOC and Comprehensive Pyrolysis Parameters from Well Logs and Applications to Source Rock Evaluation

ME Salaim, H Ma, X Hu, H Quer - Natural Resources Research, 2024 - Springer
Understanding source rocks' organic content and thermal maturity is crucial in assessing
their hydrocarbon potential. To address this, our study focused on developing an accurate …

Hydrochemical assessment of groundwater with special emphasis on fluoride in parts of Punjab and fluoride prediction using GIS and ML

K Khusulio, NR Sharma, IC Das, RK Setia… - Environmental Earth …, 2024 - Springer
The study focuses on assessing groundwater quality, with a special emphasis on fluoride
contamination, in the Muktsar, Bathinda, and Moga of Punjab, India. Groundwater being a …

A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial …

CN Mkono, C Shen, AK Mulashani… - … Applications of Artificial …, 2025 - Elsevier
Abstract The estimation of Total Organic Carbon (TOC) in source rocks is critical for
assessing hydrocarbon potential and source rock quality in petroleum exploration and …