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 …
that are important for the development of industry and energy security. Along with the …
Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and …
In complex carbonate reservoirs, it is crucial to understand the connections between
reservoir compositions (minerals, facies, and properties). Conventionally, core samples …
reservoir compositions (minerals, facies, and properties). Conventionally, core samples …
Unsupervised machine learning-based multi-attributes fusion dim spot subtle sandstone reservoirs identification utilizing isolation forest
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 …
Here, we propose to identify subtle sandstone reservoirs by an unsupervised machine …
Multi-step modeling of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in …
In this research, a multi-step modeling approach is followed using unsupervised and deep
learning algorithms to interpret the geophysical well-logging data for improved …
learning algorithms to interpret the geophysical well-logging data for improved …
[HTML][HTML] Application of support vector machines and genetic algorithms to fluid identification in Offshore Granitic subduction hill reservoirs
H Zhang, Y Hu, X Li, K Du, T Zeng, C Li - Geoenergy Science and …, 2024 - Elsevier
YL8 area granite submarine is located in the Songnan low uplift of Qiongdongnan Basin,
submarine reservoir fracture development, non-homogeneous strong. Geophysical logging …
submarine reservoir fracture development, non-homogeneous strong. Geophysical logging …
Using ANN prediction in carbonate reservoir properties: Implication for large-scale reservoir correlation
A Abdelkarim, J Humphrey - SPE/AAPG/SEG Unconventional …, 2024 - onepetro.org
Elemental data are typically presented and analyzed as ratios, indices, and proxy values.
Due to the vast number of combinations, about 30-40% of the data often remains unutilized …
Due to the vast number of combinations, about 30-40% of the data often remains unutilized …
Digital and Technological Modernization of the World's Largest Oil and Gas Production Center in West Siberia
AN Dmitrievsky, NA Eremin - Doklady Earth Sciences, 2024 - Springer
The results of digital and technological modernization of the oil and gas industry within the
framework of the state program “Digital Economy 2017–2024” during the implementation of …
framework of the state program “Digital Economy 2017–2024” during the implementation of …
[PDF][PDF] Aquitard Structure Plays Important Role in Leakage: Evidence from Knn Method
Z Du, Y Liu, Y Dong, Y Chen, Y Zhai - 2024 - preprints.org
Leakage is important in groundwater cycle research and water resource management, the
key is to construct the spatial distribution of aquitard. Influenced by natural and …
key is to construct the spatial distribution of aquitard. Influenced by natural and …
Digital and technological modernization of the world's largest West Siberian oil and gas production center
AN Dmitrievsky, NA Eremin - Doklady Rossijskoj akademii …, 2024 - journals.rcsi.science
The article examines the results of digital and technological modernization of the oil and gas
industry within the framework of the state program" Digital Economy 2017-2024" in the …
industry within the framework of the state program" Digital Economy 2017-2024" in the …