[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 …
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 …
Hydrocarbon potential prediction of organic shale such as total organic carbon (TOC) is an …
Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning
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 …
Prediction of total organic carbon at Rumaila oil field, Southern Iraq using conventional well logs and machine learning algorithms
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 …
potential of source rocks. The standard method for analysis of TOC is the Rock-Eval …
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 …
Analyzing organic richness of source rocks from well log data by using SVM and ANN classifiers: a case study from the Kazhdumi formation, the Persian Gulf basin …
Determination of TOC is critical to the evaluation of every source rock unit. Methods which
are dependent upon extensive laboratory testing are limited by the availability and integrity …
are dependent upon extensive laboratory testing are limited by the availability and integrity …
Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: A case study of the South Pars Gas Field …
Intelligent and statistical techniques were used to extract the hidden organic facies from well
log responses in the Giant South Pars Gas Field, Persian Gulf, Iran. Kazhdomi Formation of …
log responses in the Giant South Pars Gas Field, Persian Gulf, Iran. Kazhdomi Formation of …
Support vector regression based determination of shear wave velocity
P Bagheripour, A Gholami, M Asoodeh… - Journal of Petroleum …, 2015 - Elsevier
Shear wave velocity in the company of compressional wave velocity add up to an invaluable
source of information for geomechanical and geophysical studies. Although compressional …
source of information for geomechanical and geophysical studies. Although compressional …