Application of High-Resolution Core Curve Construction in Logging Lithology Identification [PDF]
Cejing jishu, 2023 Stratum lithology identification based on logging curves is an important direction in the interpretation of logging data, it is usually combined with drilling and coring experiments.
YOU Ting +5 more
doaj +2 more sources
Multi-Dimensional Lithology Identification Method Based on Microresistivity Image Logging [PDF]
Cejing 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 +2 more sources
Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning [PDF]
Deep Underground Science and Engineering, EarlyView.A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +2 more sources
Improved Unet in Lithology Identification of Coal Measure Strata [PDF]
Lithosphere, 2022 Abstract The lithology of underground formations can be determined using logging data, which is important for a variety of subsurface geoscience and industrial applications. Deep learning technology offers the advantage of discovering a potential relationship between input and output variables, making it a great choice for generating ...
Suzhen Shi +5 more
openaire +3 more sources
Logging identification of complex lithology of the Lower Jurassic Da'anzhai Member in the eastern slope of the western Sichuan Depression [PDF]
Unconventional 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 +2 more sources
Towards Optimization of Boosting Models for Formation Lithology Identification [PDF]
Mathematical Problems in Engineering, 2019 Lithology identification is an indispensable part in geological research and petroleum engineering study. In recent years, several mathematical approaches have been used to improve the accuracy of lithology classification. Based on our earlier work that assessed machine learning models on formation lithology classification, we optimize the boosting ...
Yunxin Xie +3 more
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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 [PDF]
Petroleum 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 +2 more sources
Real-time lithology identification while drilling based on drilling parameters analysis with machine learning [PDF]
Geomechanics and Geophysics for Geo-Energy and Geo-ResourcesAccurate formation lithology information is crucial for addressing post-mining issues. Artificial intelligence is increasingly vital for lithology identification but faces challenges in underground coal mines, especially in accurately interpreting ...
Kun Li +6 more
doaj +2 more sources
Automatic Lithology Identification of Sandstone-type Uranium Deposit in Songliao Basin Based on Ensemble Learning [PDF]
Yuanzineng kexue jishu, 2023 The accurate identification of stratigraphic lithology is closely related to the delineation of sandstone-type uranium deposits. In the face of complex stratigraphic structure, the correct analysis of lithology combination is of great significance to the
DUAN Zhongyi1;XIAO Kun1,*;YANG Yaxin1;HUANG Xiao2;JIANG Shan2;ZHANG Hua1;LUO Qibin1
doaj +2 more sources
Multi-scale lithology recognition based on deep learning of rock images [PDF]
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 +2 more sources