准噶尔盆地玛湖凹陷风城组陆相页岩油储层测井裂缝智能识别

陆国青; 董少群; 黄立良; 曾联波; 刘国平; 何文军; 杜晓宇; 杨森; 高文颖

doi:10.3799/dqkx.2022.409

Volume 48 Issue 7

Jul. 2023

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Article Navigation > Earth Science > 2023 > 48(7): 2690-2702

Lu Guoqing, Dong Shaoqun, Huang Liliang, Zeng Lianbo, Liu Guoping, He Wenjun, Du Xiaoyu, Yang Sen, Gao Wenying, 2023. Fracture Intelligent Identification Using Well Logs of Continental Shale Oil Reservoir of Fengcheng Formation in Mahu Sag, Junggar Basin. Earth Science, 48(7): 2690-2702. doi: 10.3799/dqkx.2022.409

Citation:

Lu Guoqing, Dong Shaoqun, Huang Liliang, Zeng Lianbo, Liu Guoping, He Wenjun, Du Xiaoyu, Yang Sen, Gao Wenying, 2023. Fracture Intelligent Identification Using Well Logs of Continental Shale Oil Reservoir of Fengcheng Formation in Mahu Sag, Junggar Basin. Earth Science, 48(7): 2690-2702. doi: 10.3799/dqkx.2022.409

Citation:

Lu Guoqing, Dong Shaoqun, Huang Liliang, Zeng Lianbo, Liu Guoping, He Wenjun, Du Xiaoyu, Yang Sen, Gao Wenying, 2023. Fracture Intelligent Identification Using Well Logs of Continental Shale Oil Reservoir of Fengcheng Formation in Mahu Sag, Junggar Basin. Earth Science, 48(7): 2690-2702. doi: 10.3799/dqkx.2022.409

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Fracture Intelligent Identification Using Well Logs of Continental Shale Oil Reservoir of Fengcheng Formation in Mahu Sag, Junggar Basin

doi: 10.3799/dqkx.2022.409

Lu Guoqing^{1, 2
,
,},
Dong Shaoqun^{1, 3},
Huang Liliang⁴,
Zeng Lianbo^{1, 2, 5
,
,
,},
Liu Guoping⁵,
He Wenjun⁴,
Du Xiaoyu⁵,
Yang Sen⁴,
Gao Wenying⁴

1.
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
2.
College of Geosciences, China University of Petroleum (Beijing), Beijing 102249, China
3.
College of Science, China University of Petroleum (Beijing), Beijing 102249, China
4.
PetroChina Xinjiang Oilfield Company, Karamay 834000, China
5.
Institute of Energy, Peking University, Beijing 100871, China

Received Date: 2022-05-12
Publish Date: 2023-07-25

Abstract

Abstract

The continental shale oil reservoir of Fengcheng Formation in the northern slope area of Mahu Sag, Junggar Basin is a mixed deposition of multiple provenances, with frequent interbedding of various lithologies and small thickness of rock mechanics layer, resulting in small fracture scale, weak conventional logging response of fractures and great difficulty in identification. Aiming at the logging identification of shale fractures, in this paper it applies the extreme gradient boosting (XGBoost) method in ensemble learning to deeply mine the nonlinear relationship between fracture information and logging data, integrates multiple weak classifiers into strong classifiers, reduces the uncertainty of fracture identification, and improves the accuracy of fracture identification. In this method, core fracture description and fracture interpretation results of image logging are used as labels, and conventional logging information is used as input data for model training. On the basis of outlier screening, SMOTE oversampling and feature optimization, the optimal hyperparameters of fracture intelligent identification model are obtained through grid search method. Compared with the commonly used machine learning methods such as support vector machine and logical regression, the XGBoost has better fracture identification ability than the other two nonlinear machine learning methods, and the accuracy of test set identification reaches 90%. The identification results of the P₁f₃ of Well A1 reflect that the fractures in this section are relatively developed, and the model has a good identification ability for both fractured and non-fractured sections, with a high coincidence rate with the core observation results. It can provide effective means for intelligent identification of fractures in continental shale oil reservoirs in Mahu Sag.
- XGBoost,
- fracture intelligent identification,
- continental shale oil,
- Mahu Sag,
- Junggar Basin,
- petroleum geology

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References(52)

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Fracture Intelligent Identification Using Well Logs of Continental Shale Oil Reservoir of Fengcheng Formation in Mahu Sag, Junggar Basin

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