A novel method for petroleum and natural gas resource potential evaluation and prediction by support vector machines (SVM)

Q Wang, D Chen, M Li, S Li, F Wang, Z Yang, W Zhang… - Applied Energy, 2023 - Elsevier
Petroleum and natural gas resources (PNGR) are some of the major forms of fossil energy
that are important for the development of industry and energy security. Along with the …

Unsupervised machine learning-based multi-attributes fusion dim spot subtle sandstone reservoirs identification utilizing isolation forest

J Wang, J Cao, Z Liu - Geoenergy Science and Engineering, 2024 - Elsevier
Subtle sandstone reservoirs are difficult to identify due to their weak seismic responses.
Here, we propose to identify subtle sandstone reservoirs by an unsupervised machine …

A novel method for predicting shallow hydrocarbon accumulation based on source-fault-sand (SF-Sd) evaluation and ensemble neural network (ENN)

F Wang, D Chen, M Li, Z Chen, Q Wang, M Jiang… - Applied Energy, 2024 - Elsevier
Shallow hydrocarbon accumulation (SHA) and predrilling volume prediction are important
components of offshore oil and gas exploration. However, SHA prediction is complex and …

Quantification of factors affecting fault sealing by using machine learning: Shuangtaizi fault anticline, southern margin of the Liaohe Western Depression, Northeastern …

X Fu, M Jiang, Z Hu, Y Jin, L Meng, R Du… - Marine and Petroleum …, 2024 - Elsevier
There are many factors that affect the faults sealing capacity, but the traditional lateral
sealing model only considers the clay content, which leads to the great limitations of the …

[PDF][PDF] Relative Importance of Input Parameters in Fault Stability Assessment

O Bruheim - 2024 - duo.uio.no
Geological sequestration is an important means of reducing global atmospheric CO2
concentrations, and more storage sites are needed to reach this climate mitigation goal. This …