Seismic-Consistent Reservoir Facies Modelling; A Brown Field Example from Deep Water Niger Delta

Author:

Amoyedo Sunday1,Atoyebi Haraya1,Bally Joakim1,Usman Musa1,Nateganov Arthur2,Bergamo Laurent2,Berthet Philippe2

Affiliation:

1. Total Upstream Nigeria Ltd.

2. Total SA

Abstract

Abstract Reservoir models often tend to be simple and do not always represent typical reservoir property variations and sometimes complex communication patterns typically encountered in deepwater turbiditic systems (amalgamated, laterally-offset stacked channel complexes and lobate systems). Consequently, such models prove unreliable for development planning and long term production forecast. To address this, seismic facies, which are derived from 3D inversion and subsequent classification studies, are often used either as a background trend or direct quantities in static model building process to guide both lateral and vertical reservoir grid population away from well control points. In this paper, we discuss a methodology for the integration of well data (reference data) and seismic reservoir facies probabilities (auxiliary data) to build a seismic-consistent static reservoir model in a deep-water field, deep offshore Niger Delta. The methodology captures both vertical and lateral variations in reservoir quality seen on well logs (after up-scaling) and seismic-derived reservoir properties inferred from 3D and 4D seismic. Furthermore, we discuss the challenges (fault shallow effect, amplitude degradation across fluid contacts, etc.) and pitfalls (inversion uncertainties, clustering/classification uncertainties etc.) of seismic-driven reservoir facies modeling and their impacts on the reservoir history matching process. Additionally, we discuss potential corrective measures to address some of these challenges, thereby enhancing the consistency of seismically-derived reservoir facies. The paper concludes with the validation of the geologic model with the use of 3D seismic loop-back process.

Publisher

SPE

Cited by 3 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