Reservoir Lithology Identification Based on Multicore Ensemble Learning and Multiclassification Algorithm Based on Noise Detection Function [PDF]
Sensors, 2023 Reservoir lithology identification is an important part of well logging interpretation. The accuracy of identification affects the subsequent exploration and development work, such as reservoir division and reserve prediction. Correct reservoir lithology
Menglei Li, Chaomo Zhang
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Study on automatic lithology identification method while drilling based on acoustic pressure-rock physics parameters mapping. [PDF]
PLoS ONEThe lithology identification while drilling is a critical component of intelligent coal mine exploration. Investigating automatic lithology identification methods is of great significance for enhancing reservoir prediction accuracy and the automation ...
Wei Jiang +5 more
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Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification [PDF]
Scientific ReportsIn this study, we propose a novel method for identifying lithology using an attention mechanism-enhanced graph convolutional neural network (AGCN). The aim of this method is to address the limitations of traditional approaches that evaluate unbalanced ...
Aiting Wang +6 more
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Cross-Well Lithology Identification Based on Wavelet Transform and Adversarial Learning [PDF]
Energies, 2023 For geological analysis tasks such as reservoir characterization and petroleum exploration, lithology identification is a crucial and foundational task.
Longxiang Sun +5 more
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Convolutional autoencoder network lithology recognition based on scratch tests [PDF]
Scientific ReportsTo address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to establish a higher-precision lithology identification ...
Suling Wang +8 more
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A Data-Driven Approach for Lithology Identification Based on Parameter-Optimized Ensemble Learning [PDF]
Energies, 2020 The identification of underground formation lithology can serve as a basis for petroleum exploration and development. This study integrates Extreme Gradient Boosting (XGBoost) with Bayesian Optimization (BO) for formation lithology identification and ...
Zhixue Sun +4 more
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Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data [PDF]
Remote SensingLithology identification provides a crucial foundation for various geological tasks, such as mineral exploration and geological mapping. Traditionally, lithology identification requires geologists to interpret geological data collected from the field ...
Sijian Wu, Yue Liu
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Progress of lithology identification technology while drilling
矿业科学学报, 2022 Lithology identification while in drilling is a convenient and efficient technology to obtain information about formation. It has the advantages of instant, accurate, environmental protection and energy saving.
Yue Zhongwen +6 more
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An optimized identification method of coal-bearing stratum lithology
Gong-kuang zidonghua, 2020 In view of difficulties in obtaining stratum information parameters and low accuracy of lithology identification in existing lithology identification method of coal-bearing stratum in coal mine underground, an optimized identification method of coal ...
ZHANG Ning, ZHANG Youzhen, YAO Ke
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Identification of Complicated Lithology with Machine Learning
Applied SciencesLithology identification is one of the most important research areas in petroleum engineering, including reservoir characterization, formation evaluation, and reservoir modeling.
Liangyu Chen +6 more
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