Results 11 to 20 of about 3,202 (214)

Shale lithology identification using stacking model combined with SMOTE from well logs

open access: yesUnconventional Resources, 2022
Shale lithology identification is the basis of geological research and reservoir characterization, and is an essential task for oil exploration. Recently, several machine learning algorithms have been applied to improve the accuracy of lithology ...
Jinlu Yang   +8 more
doaj   +1 more source

Intelligent identification of logging cuttings based on deep learning

open access: yesEnergy Reports, 2022
In oil and gas exploration, rock sample identification is a basic and important work. At present, the methods of rock sample identification mainly include gravity and magnetism, well logging, earthquake, remote sensing, electromagnetism, geochemistry ...
Huijia Wang
doaj   +1 more source

A logging identification method of tight oil reservoir lithology and lithofacies: A case from Chang7 Member of Triassic Yanchang Formation in Heshui area, Ordos Basin, NW China

open access: yesPetroleum Exploration and Development, 2016
: Based on the observation results of cores, structural analysis, sedimentary microfacies analysis, lithologic analysis and other analytical tests and logging data, the characteristics of lithology and lithofacies of the Member Chang7 tight oil reservoir
Zhenglong ZHOU   +5 more
doaj   +1 more source

Logging identification of complex lithology of the Lower Jurassic Da'anzhai Member in the eastern slope of the western Sichuan Depression

open access: yesUnconventional Resources, 2023
In recent years, with the in-depth development of oil and gas exploration in the eastern slope of the western Sichuan Depression, breakthroughs have been made in the research on high-quality gas reservoirs in the Da'anzhai Member of the Ziliujing ...
Mengyuan Zhang   +7 more
doaj   +1 more source

Lithologic Identification of Complex Reservoir Based on PSO-LSTM-FCN Algorithm

open access: yesEnergies, 2023
Reservoir lithology identification is the basis for the exploration and development of complex lithological reservoirs. Efficient processing of well-logging data is the key to lithology identification.
Yawen He   +10 more
doaj   +1 more source

Multi-Dimensional Lithology Identification Method Based on Microresistivity Image Logging

open access: yesCejing jishu, 2023
The traditional microresistivity image logging lithology identification mainly depends on manual identification, and the identification results often affected by manual experience and subjective factors which leads to some issues such as difficulty in ...
LIU Juan   +5 more
doaj   +1 more source

Lithological Identification Method and Application of Bauxite Rocks in Ordos Basin

open access: yesCejing jishu, 2023
The bauxite reservoir of Taiyuan formation in Longdong area of Ordos basin is a new type of oilfield exploration and development, and several exploration wells have obtained high production of industrial gas flow, which breaks the traditional ...
GUO Xiaokai   +6 more
doaj   +1 more source

Multi-scale lithology recognition based on deep learning of rock images

open access: yes地质科技通报, 2022
Lithology recognition through artificial intelligence and big data can provide effective assistance to relevant personnel in field investigations.To better promote the application of lithology recognition in professional fields, the deep learning ...
Zedong Ma   +5 more
doaj   +1 more source

Methods for identifying complex lithologies from log data based on machine learning

open access: yesUnconventional Resources, 2023
The sedimentary environment of the marine-continental transitional facies leads to complex reservoir lithologies characterized by rapid changes in lithology, the presence of thin interbeds, and strong heterogeneity in both vertical and horizontal ...
Mi Liu, Song Hu, Jun Zhang, Youlong Zou
doaj   +1 more source

A New Method of Lithology Classification Based on Convolutional Neural Network Algorithm by Utilizing Drilling String Vibration Data

open access: yesEnergies, 2020
Formation lithology identification is of great importance for reservoir characterization and petroleum exploration. Previous methods are based on cutting logging and well-logging data and have a significant time lag.
Gang Chen   +5 more
doaj   +1 more source

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