Quick Hydraulic Fracture Property Estimation Through Pressure Falloff Data During Fracturing Operations: A Deep-Shale Case Study from the Southern Sichuan Basin

Author:

Zeng Jie1,Guo Jianchun1,Chen Ke2,Wang Lijia2,Zhang Gehao1,Zhai Lixiao1,Zhao Zhihong1,Ren Shan3,Liu Bin3,Li Yangyang3,Zeng Fanhua4

Affiliation:

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

2. Sichuan Shale Gas Exploration and Development Co., Ltd., Chengdu, Sichuan, China

3. Chengdu LEPS Technology Co., Ltd., Chengdu, Sichuan, China

4. University of Regina, Regina, Saskatchewan, Canada

Abstract

Abstract Deep shale gas formations with a burial depth larger than 3500 m contain over 65% of the total shale gas reserves in the Southern Sichuan Basin. However, complex reservoir conditions, such as extensively developed natural fractures or faults and large horizontal principal stress differences, generate significant uncertainties in post-fracturing well performance. Quick estimation of hydraulic fracture properties, such as the fracture surface area and effective half-length, via pressure falloff data, after the main fracturing treatment offers a timely and improved understanding of stimulation efficiency and provides key information for post-frac well performance investigation. In this study, we comprehensively investigate fracture properties of different fractured stages, such as main fracture surface area, secondary fracture surface area, and effective main fracture half-length. Then, we analyze the correlation of these properties, productivity, pressure falloff data, and fracturing treatment parameters via a case study. Here, we employ the basic pressure-falloff-based approach of Liu et al. (2020) and further add the impact fracture tortuosity. First, collect high-quality pressure falloff data and generate the log-log diagnostic plot of pressure drop and the corresponding derivative for each stage. Then, generate the composite G-function plot for each stage and find the d(∆p)/dG value when the first closure of the hydraulic fracture occurs. Next, determine the pressure loss caused by the wellbore and near-wellbore fracture tortuosity and calculate the fracture tortuosity. Finally, calculate the main fracture and secondary fracture properties. Well A, a deep shale gas well in the Southern Sichuan Basin, is selected and analyzed. The effective main fracture half-length of well A ranges from 279 ft to 395 ft, depending on the operating and reservoir conditions. Compared with microseismic data, the average main fracture effective half-length is 54.7% of the observed average SRV half-length. The relative magnitude of pressure loss during the pressure falloff period caused by near-wellbore fracture tortuosity can roughly reflect the complexity of the created fracture system. A new fracture complexity evaluation concept is proposed based on the surface area values of main and secondary fractures. For fractured stages, the total pressure drop is positively correlated with the total fracture surface area of the fracture system and total injected fluid volume. The correlation between fracture surface area and gas productivity is weaker compared with that between fracture surface area and water productivity. Some discrepancies in specific stages are possibly caused by abnormal or poor-quality pressure falloff data. By combining other key information on field treatments, the understanding obtained from fracture surface area estimation helps to define changes in treatment design and enhance well productivity. This integrated approach can also serve as a simple but practical tool for estimating hydraulic fracture properties during offshore fracturing.

Publisher

OTC

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