[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 …

CNN-BiLSTM hybrid neural networks with attention mechanism for well log prediction

L Shan, Y Liu, M Tang, M Yang, X Bai - Journal of Petroleum Science and …, 2021 - Elsevier
Well logging is a significant method of formation description and resource assessment in
exploration and development of oil, natural gas, minerals, groundwater, and sub-surface …

Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification

L Zeng, W Ren, L Shan - Neurocomputing, 2020 - Elsevier
Many old oilfields have missed or distorted well logs data, which is due to long history of
shutdown, poor borehole conditions, damaged instrument, and other reasons. These bring …

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 …

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 …

Applications of Machine Learning in Sweet-Spots Identification: A Review

H Khanjar - SPE Journal, 2024 - onepetro.org
The identification of sweet spots, areas within a reservoir with the highest production
potential, has been revolutionized by the integration of machine learning (ML) algorithms …

Dynamic committee machine with fuzzy-c-means clustering for total organic carbon content prediction from wireline logs

Y Bai, M Tan - Computers & Geosciences, 2021 - Elsevier
The total organic carbon (TOC) content is of great significance to reflect the hydrocarbon-
generation potential in shale reservoirs. The well logs were always used to predict the TOC …

Prediction of total organic carbon content in shale reservoir based on a new integrated hybrid neural network and conventional well logging curves

L Zhu, C Zhang, C Zhang, Y Wei, X Zhou… - … of Geophysics and …, 2018 - academic.oup.com
There is increasing interest in shale gas reservoirs due to their abundant reserves. As a key
evaluation criterion, the total organic carbon content (TOC) of the reservoirs can reflect its …

[HTML][HTML] 基于岩石物理相的深层页岩气地质—工程甜点参数测井评价方法——以四川盆地LZ 区块五峰组—龙马溪组为例

张少龙, 闫建平, 郭伟, 钟光海, 黄毅, 李志鹏 - 石油地球物理勘探, 2023 - html.rhhz.net
ZHANG Shaolong, YAN Jianping, GUO Wei, ZHONG Guanghai, HUANG Yi, LI Zhipeng.
Logging evaluation method of geological-engineering sweet spot parameters for deep shale …

Hydrocarbon source rock evaluation and quantification of organic richness from correlation of well logs and geochemical data: A case study from the sembar formation …

H Aziz, M Ehsan, A Ali, HK Khan, A Khan - Journal of Natural Gas Science …, 2020 - Elsevier
Abstract Sembar Formation of Cretaceous encountered in Khajari-01 and Miran-01 wells,
which are located in the Southern Indus Basin (SIB), Pakistan. Total organic carbon (TOC) …