A novel approach for fracture porosity estimation of carbonate reservoirs

Author:

Sharifi Javad1,Moghaddas Naser Hafezi1,Saberi Mohammad Reza2,Mondol Nazmul Haque34

Affiliation:

1. Department of Geology, Faculty of Science Ferdowsi University of Mashhad Mashhad Iran

2. Seismic Reservoir Characterization GeoSoftware The Hague The Netherlands

3. Department of Geosciences University of Oslo Oslo Norway

4. Norwegian Geotechnical Institute (NGI) Oslo Norway

Abstract

AbstractThe quality of carbonate reservoirs is linked to their rock properties and surrounding stress settings which can play a vital role in their production optimization and development programs. Imposing various stresses can increase porosity and permeability by creating joints and cracks across the rock mass. Therefore, developing methods to identify and accurately evaluate fractures in carbonate reservoirs is very significant in reservoir characterization. To deal with this necessity, we developed a fracture porosity estimation method using empirical and analytical solutions based on the wireline data considering stress conditions. The proposed methodology was applied to a carbonate reservoir as the case study. As fracture porosity is sensitive to stress, experimental tests were conducted on the core samples using triaxial hydrostatic tests. These tests are needed to simulate reservoir conditions to investigate the relationships between fracture volume fraction and the applied stress. A substantial porosity loss was observed during the hydrostatic test, which can be linked to the crack porosity closure. The reliability of our results was validated by thin section, computed tomography–scan images, velocity deviation method, elastic boundary laws, and image logs. Eventually, we introduced an equation to estimate in situ fracture porosity from the relationship between porosity and effective confining pressure. We verified the repeatability and generality of our proposed methodology using a blind well, and the results indicate a comparable level of accuracy. Our findings are applicable for estimating crack porosity for rock physics modelling purposes of detecting fracture zones in the absence of image logs and core data. Moreover, by calibrating and optimizing the constant parameters in our proposed relationship, one may further estimate crack density in any other given carbonate reservoirs.

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Reference87 articles.

1. Porosity classification from thin sections using image analysis and neural networks including shallow and deep learning in Jahrum formation;Abedini M.;Journal of Mining and Environment,2018

2. Handbook of Log Evaluation Techniques for Carbonate Reservoirs

3. Fractured zones detection using conventional petrophysical logs by differentiation method and its correlation with image logs

4. Modeling Fracturing in Rock Using a Modified Discrete Element Method with Plasticity

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