[HTML][HTML] Total organic carbon content logging prediction based on machine learning: A brief review

L Zhu, X Zhou, W Liu, Z Kong - Energy Geoscience, 2023 - Elsevier
The total organic carbon content usually determines the hydrocarbon generation potential of
a formation. A higher total organic carbon content often corresponds to a greater possibility …

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 …

An improved neural network for TOC, S1 and S2 estimation based on conventional well logs

H Wang, W Wu, T Chen, X Dong, G Wang - Journal of Petroleum Science …, 2019 - Elsevier
Total organic carbon (TOC), volatile hydrocarbon (S 1) and remaining hydrocarbon (S 2) are
significant factors for shale oil and gas exploration and development. However, the TOC, S 1 …

An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks

Y Liu, J Zeng, J Qiao, G Yang, W Cao - Applied Energy, 2023 - Elsevier
Over the past decade, hydrocarbon production from shale oil reservoirs has become
increasingly common, and successful shale oil exploration and development depends …

Support-vector-regression machine technology for total organic carbon content prediction from wireline logs in organic shale: A comparative study

M Tan, X Song, X Yang, Q Wu - Journal of natural gas science and …, 2015 - Elsevier
Organic shale is one of the most important unconventional oil and gas resources.
Hydrocarbon potential prediction of organic shale such as total organic carbon (TOC) is an …

Total organic carbon content prediction based on support-vector-regression machine with particle swarm optimization

J Rui, H Zhang, D Zhang, F Han, Q Guo - Journal of Petroleum Science and …, 2019 - Elsevier
Total organic carbon (TOC) is a significant factor to evaluate the hydrocarbon potential of the
unconventional reservoir, while it is difficult to obtain the continuous and accurate prediction …

Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

L Zhu, C Zhang, C Zhang, Z Zhang, X Nie, X Zhou… - Applied Soft …, 2019 - Elsevier
The total organic carbon (TOC) content is a parameter that is directly used to evaluate the
hydrocarbon generation capacity of a reservoir. For a reservoir, accurately calculating TOC …

A new method for TOC estimation in tight shale gas reservoirs

H Yu, R Rezaee, Z Wang, T Han, Y Zhang, M Arif… - International Journal of …, 2017 - Elsevier
Total organic carbon (TOC) estimation is significantly crucial for shale reservoir
characterization. Traditional TOC estimation methods (such as Passey and Schmoker …

[PDF][PDF] 页岩气储层地球物理测井评价研究现状

王濡岳, 丁文龙, 王哲, 李昂, 何建华, 尹帅 - 地球物理学进展, 2015 - researchgate.net
摘要页岩气是以吸附或游离态为主赋存于暗色富有机质, 极低渗透率的泥页岩中, 自生自储,
连续聚集的天然气藏. 我国页岩气富集地质条件优越, 具有良好资源前景及开发潜力 …

Prediction of total organic carbon at Rumaila oil field, Southern Iraq using conventional well logs and machine learning algorithms

AM Handhal, AM Al-Abadi, HE Chafeet… - Marine and Petroleum …, 2020 - Elsevier
Total organic carbon (TOC) is an important parameter for assessing the hydrocarbon
potential of source rocks. The standard method for analysis of TOC is the Rock-Eval …