A New Approach for Multi-Fractured Horizontal Wells Productivity Prediction in Shale Oil Reservoirs

Author:

Huang Dianyuan1,Lian Zhanghua1,Yan Guang2,Ye Kai3,Tao Liang4,Zhang Jun2,Halifu Mirinuer5,Cao Zongxiong4,Deng Xianan4,Zhao Yuhang1

Affiliation:

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, China

2. No. 11 Oil Production Plant, Changqing Oilfield Company, PetroChina Company Limited

3. Chuanqing drilling Engineering Company, Limited, Changqing Downhole Technology Operation Company, Petrochina Company Limited

4. Oil and Gas Technology Research Institute Changqing Oilfield Company, Petrochina Company Limited

5. Gubkin Russian State University of Oil and Gas National Research University, Russia

Abstract

AbstractThe continental shale oil reservoirs usually have strong heterogeneity, which make the law of fracture propagation extremely complex, and the quantitative characterization of fracture network swept volume brings great challenges. In this paper, firstly, the grey correlation analysis method is used to calculate the correlation coefficient between different parameters and microseismic monitoring volume (SRV), and the key factors affecting SRV are identified. Secondly, the relationship between key geological engineering parameters and SRV is established by using the method of multiple linear regression, and the relationship is further corrected by productivity numerical simulation method, and the empirical formula for quantitative characterization of fracture network swept volume(FSV) is established. Finally, according to the field production of big data, the fitting chart of the accumulated oil production and the FSV is established, and the production of horizontal well is further predicted according to the fitting formula. The study results shown that the main factors affecting the SRV were fracturing fluid volume, fracture density, brittleness index, pump rate, horizontal stress difference, net pay thickness and proppant amount.The FSV in the study area was positively correlated with the cumulative oil production of the horizontal well. With the increase of the FSV, the accumulated oil production increased at first and then tended to be stable, and the optimal FSV was 760 ~ 850*104m3. The prediction method was verified by the typical platform in the field to be accurate and reliable. It can provide scientific basis for the productivity prediction of horizontal wells in shale oil reservoirs.

Publisher

IPTC

Reference43 articles.

1. Geological theory and exploration & development practice of hydrocarbon accumulation inside continental source kitchen;Jiao;Petroleum Exploration and Development,2020

2. Geological characteristics and exploration of shale oil in Chang 7 Member of Triassic Yanchang Formation, Ordos Basin, NW China;Fu;Petroleum Exploration and Development,2020

3. Orderly coexistence and accumulation models of conventional and unconventional hydrocarbons in Lower Permian Fengcheng Formation, Mahu sag, Junggar Basin;Zhi;Petroleum Exploration and Development,2021

4. Geological characteristics and exploration of shale oil in Chang 7 Member of Triassic Yanchang Formation, Ordos Basin, NW China[J];Fu;Petroleum Exploration and Development,2020

5. Tao L , GuoJ, LiL. Research And Application Of Horizontal Well Infill Sagd Development Technology For Super Heavy Oil Reservoirs. SPE Improved Oil Recovery Conference. SPE-200389-MS.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3