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 …
hydrocarbon generation capacity of a reservoir. For a reservoir, accurately calculating TOC …
A new and reliable dual model-and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi …
L Zhu, C Zhang, C Zhang, Z Zhang, X Zhou… - Journal of Petroleum …, 2020 - Elsevier
The total organic carbon content (TOC) is the most important parameter when determining
the source rock quality. At present, there are two main types of TOC well logging calculation …
the source rock quality. At present, there are two main types of TOC well logging calculation …
[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 …
a formation. A higher total organic carbon content often corresponds to a greater possibility …
[HTML][HTML] Improved total organic carbon convolutional neural network model based on mineralogy and geophysical well log data
Unconventional resources, such as shale oil and gas, are currently regarded as an essential
resource in the face of depleting conventional hydrocarbon reserves. In line with this, the …
resource in the face of depleting conventional hydrocarbon reserves. In line with this, the …
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 …
evaluation criterion, the total organic carbon content (TOC) of the reservoirs can reflect its …
Super learner approach to predict total organic carbon using stacking machine learning models based on well logs
Determining the total organic carbon (TOC) content is essential information for risk
assessment in oil exploration, as it is a parameter used for the characterization of …
assessment in oil exploration, as it is a parameter used for the characterization of …
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 …
significant factors for shale oil and gas exploration and development. However, the TOC, S 1 …
Application of extreme learning machine and neural networks in total organic carbon content prediction in organic shale with wire line logs
Total organic carbon (TOC) is a critical parameter for source rock characterization in shale
gas reservoirs. In this work, the use of extreme learning machines (ELM) for predicting TOC …
gas reservoirs. In this work, the use of extreme learning machines (ELM) for predicting TOC …
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 …
generation potential in shale reservoirs. The well logs were always used to predict the TOC …
A new method for TOC estimation in tight shale gas reservoirs
Total organic carbon (TOC) estimation is significantly crucial for shale reservoir
characterization. Traditional TOC estimation methods (such as Passey and Schmoker …
characterization. Traditional TOC estimation methods (such as Passey and Schmoker …