页岩油开发初期产能控制因素分析&#x02014;&#x02014;以长庆油田里151区为例

卫嘉鑫; 张妍; 尚教辉; 吕娜; 刘文超; 王恒恺; 马福建; 张启涛

doi:10.13809/j.cnki.cn32-1825/te.2021.04.011

油气藏评价与开发 >

2021 , Vol. 11 >Issue 4: 550 - 558

DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2021.04.011

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

卫嘉鑫 ,
张妍 ,
尚教辉 ,
吕娜 ,
刘文超 ,
王恒恺 ,
马福建 ,
张启涛

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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

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

收稿日期: 2021-01-18

网络出版日期: 2021-08-19

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)

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

Jiaxin WEI ,
Yan ZHANG ,
Jiaohui SHANG ,
Na LYU ,
Wenchao LIU ,
Hengkai WANG ,
Fujian MA ,
Qitao ZHANG

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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 date: 2021-01-18

Online published: 2021-08-19

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摘要

为了明确页岩油压裂焖井开发初期的产能控制因素,应用层次聚类分析与主成分分析相结合的综合数据分析方法,对里151区生产井的储层静态参数、压裂施工参数以及产油量数据进行定量分析。首先应用层次聚类方法将生产井划分为A类井与B类井,再利用主成分分析方法对不同类别生产井数据进行产能控制因素分析。分析结果表明：焖井时间小于125 d时,焖井施工可以有效降低产量递减率,大于125 d时,焖井效果较差;A类井产油量递减率与压裂入地液量呈高度负相关,同时动液面对产油量及其递减率影响显著;B类井产油量递减率控制因素主要为动液面和基质孔隙度;B类井产油量控制因素为压裂段数。因此,在对里151区块页岩油进行优化生产时,应考虑A类井与B类井生产控制因素上的差异,充分利用不同井型下控制因素分析结果,为该区块页岩油后续开发提供合理参考。

关键词： 页岩油; 焖井开发; 压裂改造; 层次聚类分析; 产能控制因素; 主成分分析

本文引用格式

卫嘉鑫 , 张妍 , 尚教辉 , 吕娜 , 刘文超 , 王恒恺 , 马福建 , 张启涛 . 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[J]. 油气藏评价与开发, 2021 , 11(4) : 550 -558 . DOI: 10.13809/j.cnki.cn32-1825/te.2021.04.011

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.

Key words： shale oil; well shut-in; hydraulic fracturing; hierarchical cluster analysis; controlling factors of productivity; principal component analysis

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