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[HTML][HTML] Total organic carbon content logging prediction based on machine learning: A brief review
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 …
Well log prediction of total organic carbon: A comprehensive review
J Lai, F Zhao, Z ** methods integrated with semi …
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 …
Effective machine learning identification of TOC-rich zones in the Eagle Ford Shale
Successful hydrocarbon production in the Eagle Ford relies on technological advances such
as directional geosteering, horizontal drilling, and hydraulic fracturing, as well as the …
as directional geosteering, horizontal drilling, and hydraulic fracturing, as well as the …
[HTML][HTML] Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm
The identification of high-quality marine shale gas reservoirs has always been a key task in
the exploration and development stage. However, due to the serious nonlinear relationship …
the exploration and development stage. However, due to the serious nonlinear relationship …
Novel method for total organic carbon content prediction based on non-equigap multivariable grey model
X **ao, H Zhu, J Li, C Rao, Y Kang - Engineering Applications of Artificial …, 2024 - Elsevier
Predicting total organic carbon content plays a crucial role in shale gas reservoir evaluation.
To address multi-variable, imperfect logging data and non-equigap characteristics, this study …
To address multi-variable, imperfect logging data and non-equigap characteristics, this study …
Fully connected deep network: An improved method to predict TOC of shale reservoirs from well logs
Shale oil and shale gas are important unconventional resources. As the total organic carbon
(TOC) of shales is related to the generation potentiality of hydrocarbons, a model of TOC …
(TOC) of shales is related to the generation potentiality of hydrocarbons, a model of TOC …
Hydrocarbon source rock evaluation and quantification of organic richness from correlation of well logs and geochemical data: A case study from the sembar formation …
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) …
which are located in the Southern Indus Basin (SIB), Pakistan. Total organic carbon (TOC) …
Shale oil content evaluation and sweet spot prediction based on convolutional neural network
Y Wu, F Jiang, T Hu, Y Xu, J Guo, T Xu, H **ng… - Marine and Petroleum …, 2024 - Elsevier
Shale oil content prediction is currently the focus of exploration. Traditional prediction
methods are less accurate, and a large number of analytical tests can increase the cost of …
methods are less accurate, and a large number of analytical tests can increase the cost of …
[HTML][HTML] Evaluation of the total organic carbon (TOC) using different artificial intelligence techniques
Total organic carbon (TOC) is an essential parameter used in unconventional shale
resources evaluation. Current methods that are used for TOC estimation are based, either …
resources evaluation. Current methods that are used for TOC estimation are based, either …