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Distribution prediction of the sepiolite-containing succession in the Member 1 of Maokou Formation in Sichuan Basin based on multi-gradient boosting algorithm
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Jinmin SONG1, Shan REN1, Shugen LIU1, 2, Long WEN3, Zhiwu LI1, Bing LUO3, Keran LI1, Di YANG1, Hua WANG3, Yuehao YE1, Xin JIN1, Zhaoyi ZHANG1, Jiaxin GUO1, Xingpeng SHAO1, Zubing ZHANG1
Journal of Palaeogeography (Chinese Edition) | 2026, 28(1) : 381 - 397
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Journal of Palaeogeography (Chinese Edition) | 2026, 28(1): 381-397
• NEW TECHNOLOGY AND NEW METHODS •
Distribution prediction of the sepiolite-containing succession in the Member 1 of Maokou Formation in Sichuan Basin based on multi-gradient boosting algorithm
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Jinmin SONG1, Shan REN1, Shugen LIU1, 2, Long WEN3, Zhiwu LI1, Bing LUO3, Keran LI1, Di YANG1, Hua WANG3, Yuehao YE1, Xin JIN1, Zhaoyi ZHANG1, Jiaxin GUO1, Xingpeng SHAO1, Zubing ZHANG1
Affiliations
  • 1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu 610059,China
  • 2 Xihua University,Chengdu 610039,China
  • 3 PetroChina Southwest Oil & Gas Field Company,Chengdu 610051,China
  • SONG Jinmin,born in 1983,Ph.D.,is a professor at Chengdu University of Technology. He is specialises in research and teaching within the field of petroleum reservoir geology. E-mail: .

About Author:

SONG Jinmin,born in 1983,Ph.D.,is a professor at Chengdu University of Technology. He is specialises in research and teaching within the field of petroleum reservoir geology. E-mail: .

Published: 2026-02-01 doi: 10.7605/gdlxb.2026.048
Outline
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The sepiolite-containing succession in the Member 1 of the Middle Permian Maokou Formation in the Sichuan Basin exhibit self-generation and self-accumulation characteristics,positioning them as a promising new frontier for the exploration of unconventional gas reservoirs. However,the identification and predictive distribution of these strata are still underdeveloped. This study utilizes core samples,thin sections,X-ray diffraction(XRD)analysis,well logging,and mud logging data,performing sensitivity analysis to select six key well log curves: CNL,DEN,GR,RT,RXO,and AC. The SMOTE algorithm is employed to address feature imbalance. The workflow for predicting sepiolite-containing succession based on multi-gradient boosting algorithms is as follows: (1)The CatBoost algorithm is used for binary classification to determine the presence of sepiolite;(2)CatBoost performs multi-class classification to categorize the morphology of sepiolite-containing succession;(3)XGBoost is applied for regression analysis to predict the talc content in the sepiolite-containing succession;(4)The effective thickness of sepiolite-containing succession is identified based on talc content. The sepiolite-containing succession in the Member 1 of Maokou Formation primarily exhibit three morphologies: spotty,lenticular,and layered. Prediction results indicate that spotty talc is mainly developed in the northern and central southern regions of Sichuan Basin,with thickness increasing toward the northeast;lenticular talc is predominantly distributed in the western Sichuan region;and layered talc is mainly found in north western,central and southern Sichuan Basin. Overall,the sepiolite-containing succession in the Member 1 of Maokou Formation show a distribution pattern of‘thicker in the northeast,thinner in the southwest.’The Tongjiang-Changshou intracratonic sag area and the Hechuan-Weiyuan-Luzhou region serve as the sedimentary centers for the effective thickness of sepiolite-containing succession,providing a basis for future exploration and deployment in these areas.

gradient boosting machines  /  machine-learning  /  sepiolite containing succession  /  Member 1 of Maokou Formation  /  Permian  /  Sichuan Basin
宋金民, 任杉, 刘树根, 文龙, 李智武, 罗冰, 李柯然, 杨迪, 汪华, 叶玥豪, 金鑫, 张钊益, 郭嘉欣, 邵兴鹏, 张祖兵. 基于多梯度提升器算法的四川盆地茅口组一段含海泡石层系分布预测*. 古地理学报, 2026 , 28 (1) : 381 -397 . DOI: 10.7605/gdlxb.2026.048
Jinmin SONG, Shan REN, Shugen LIU, Long WEN, Zhiwu LI, Bing LUO, Keran LI, Di YANG, Hua WANG, Yuehao YE, Xin JIN, Zhaoyi ZHANG, Jiaxin GUO, Xingpeng SHAO, Zubing ZHANG. Distribution prediction of the sepiolite-containing succession in the Member 1 of Maokou Formation in Sichuan Basin based on multi-gradient boosting algorithm[J]. Journal of Palaeogeography (Chinese Edition), 2026 , 28 (1) : 381 -397 . DOI: 10.7605/gdlxb.2026.048
  • National Naturral Science Foundation of China(42572132)
  • National Naturral Science Foundation of China(U24B6001)
  • National Science and Technology Major Project(2025ZD1400403)
Year 2026 volume 28 Issue 1
132
54
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Article Info
doi: 10.7605/gdlxb.2026.048
  • Receive Date:2025-08-29
  • Online Date:2026-09-22
  • Published:2026-02-01
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History
  • Received:2025-08-29
  • Revised:2025-10-23
Funding
National Naturral Science Foundation of China(42572132)
National Naturral Science Foundation of China(U24B6001)
National Science and Technology Major Project(2025ZD1400403)
Affiliations
    1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu 610059,China
    2 Xihua University,Chengdu 610039,China
    3 PetroChina Southwest Oil & Gas Field Company,Chengdu 610051,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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