Designing Matrix Acidizing Treatments with Particulate Diverters—Part I: Model and Predictions

Author:

Tardy Philippe M. J.1,Ziauddin Murtaza1,Vidma Konstantin1,Khan Abdul Muqtadir1

Affiliation:

1. SLB, Sugar Land, Texas, USA

Abstract

Abstract While particulates are often used in the field to optimize reservoir coverage by diverting the injected treatment fluids into lower injectivity zones, the optimal job design may be difficult to reach without the proper models. In our study, we detail models for particulates transport, bridging, plugging, diversion and degradation, which are the tools required to provide reservoir and completion specific design guidelines for various scenarios. Each model is built using dedicated experimental procedures. Experimental data are presented together with their correlations. The efficiency of particulate fluids depends on multiple factors including the magnitude of the injectivity contrast present in the reservoir, how much flow resistance may be achieved by accumulating particulate filter cakes in perforations and how quickly the accumulation can start. The onset of diversion requires perforation plugging and, potentially before that, perforation bridging. The onset of bridging depends on parameters such as particulate loading, rate through perforations, and size of perforations and of particulates. Once the cake forms, diversion may start depending on the permeability of the cake, the permeability of the zone connected to the plugged perforation, and the perforation type. Particulate and cake degradation rate is also an important aspect to consider. This paper elaborates on the models relevant to quantify diversion efficiency of particulate-based fluids in the field. The paper also provides new and useful insights on the important factors that should be considered during the design phase.

Publisher

IPTC

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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