• 页岩油气勘探开发 •

### 页岩油开发初期产能控制因素分析——以长庆油田里151区为例

1. 1.中国石油长庆油田分公司第二采油厂,甘肃 庆城 745100
2.中国石油长庆油田分公司第二采油厂,甘肃 华池745600
3.北京科技大学土木与资源工程学院,北京 100083
4.中国矿业大学（北京）深部岩土力学与地下工程国家重点实验室,北京 100083
5.内蒙古建兴斯科科技有限公司,内蒙古 乌兰察布012100
• 收稿日期:2021-01-18 出版日期:2021-08-26 发布日期:2021-08-19
• 作者简介:卫嘉鑫（1982—）,男,本科,工程师,主要从事长庆油田页岩油开发技术管理工作。地址：甘肃省庆阳市庆城县第二采油厂地质研究所,邮政编码：745100。E-mail: weijiaxin_cq@petrochina.com.cn
• 基金资助:
长庆油田“长7页岩油国家级百万吨示范区建设”专项(CSSO-180928)

### Principal factor analysis on initial productivity in shale oil development: A case study of Block Li-151 in Changqing Oilfield

WEI Jiaxin1(),ZHANG Yan2,SHANG Jiaohui1,LYU Na1,LIU Wenchao3,WANG Hengkai4,MA Fujian5,ZHANG Qitao3

1. 1. No.2 Oil Production Plant, Changqing Oilfield Company, Qingcheng, Gansu 745100, China
2. No.2 Oil Production Plant, Changqing Oilfield Company, Huachi, Gansu 745600, China
3. School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
4. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology （Beijing）, Beijing 100083, China
5. Inner Mongolia Jianxingsco Technology Co., Ltd, Wulanchabu, Inner Mongolia 012100, China
• Received:2021-01-18 Online:2021-08-26 Published:2021-08-19

Abstract:

In order to clarify the main principal factors that affect the initial productivity during the development of shale oil reservoirs, a comprehensive data analysis method involved both the hierarchical cluster analysis and the principal component analysis in data statistics is presented; and then the deta of the static formation parameters, fracturing operation parameters and the oil productivity of 51 wells in Block Li-151 are analyzed quantitatively. At first, the wells in the block are divided automatically into two types, Type A and Type B, by the hierarchical cluster analysis method. Then, a principal component analysis method is used to analyze the principal productivity factors for different types of wells. Analysis results show that, when the well shut-in time is less than 125 days, the oil production decline rate can be reduced effectively by the well shut-in measures; however, when it is greater than 125 days, the effect of well shut-in measures on oil production decline rate becomes negative. The production decline rate of Type A wells is highly negative with the amount of injected fracturing water; the main principal factors for the production decline rate of Type B wells are the moving liquid level and the porosity of shale matrix. The principal factors for the production rate of Type B wells are the number of fracturing sections. All in all, for the production optimization of shale oil development in Block Li-151, the differences of principal production factors between Type A wells and Type B wells should be considered and the different analysis results of the principal factors that affect the initial shale oil productivity under different well types should be fully utilized. Some guidance can be provided specifically for the formulation of a reasonable shale oil efficient development plan.

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