New Advances in Shale Reservoir Analysis Using Flowback Data

Author:

Alkouh Ahmad1,Wattenbarger Robert A.1

Affiliation:

1. Texas A&M University

Abstract

Abstract Shale reservoirs with multistage hydraulic fractures are commonly characterized by analyzing long-term gas production data, but flowback data is usually not included in the analysis. However, this work shows there can be benefits to including flowback data in well analysis. The flowback period is dominated by water flow. Field data indicate that only 15-30% of the frac water is recovered after the flowback. Past publications have suggested that the lost water is trapped in the natural fracture or imbibed into the rock matrix near the fracture face. In this paper, lost water scenarios are tested and examples are presented for including flowback and production data in the analysis of shale gas wells. A gas-water model was constructed for simulating the flowback and long-term production periods. Various physical assumptions were investigated for the saturations and properties in the fracture/matrix system that exists after hydraulic fracturing. The results of these simulations were compared with data from actual wells. The result of these comparisons led to certain conclusions and procedures that describe possible well/reservoir conditions after hydraulic fracturing and during production. In this work, the challenge of simulating a natural fracture with trapped water without imbibition is solved using a new hybrid relative permeability jail. This concept was tested for the period of flowback, shut-in and production. Natural fracture spacing could be a possible explanation of the lost water. In addition, this paper shows the benefits of combining flowback and long-term water production data in the analysis of shale gas wells. In some cases the time shift on diagnostic plots changes the apparent flow regime identification of the early gas production data. This leads to different models of the fracture/matrix system. The presented work encourages the engineer to collect flowback data in order to include it in the long-term production analysis.

Publisher

SPE

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