Waterflood Optimization in Nahr Umr Sandstone Reservoir in Bahrain Field Using Ensemble of Novel Analytical Techniques

Author:

Aljowder A. E.1,Alkuwari F.1,Konwar L.1,Mohamed A.1,Alowainati E.1

Affiliation:

1. BAPCO Upstream, Bahrain

Abstract

Abstract The Sandstone reservoir is on production since 1941. Water injection (WI) started since January 2013 and full fledge injection commenced through injectors in 2013. A maximum injection rate was achieved in 2015. Following start of WI, oil production has increased continuously and peaked in 2017. Both liquid rate and oil rate have declined continuously since 2017 due to lower injection stemming from facility issue. The liquid rate has declined 30% during 2020 to 2022 resulting 41% decline in oil rate as a result of reduction of water injection by 62% due to facility issue. The objective of the paper is to optimize the water injection rate based on historical voidage, current voidage and also future water injection rate based on predicted oil and water production. Besides decline curve analysis (DCA), modern analytical techniques are used to evaluate sweep and recovery and remaining potential in the reservoir. The X-plot technique is used for estimating water influx from production data. Water injection requirement is worked out based on water influx, historical and current voidage. The methodology also shows a workflow to estimate future water production en route to future water injection requirement. Additionally, volumetric sweep is estimated using production data, Y-function and extended X-plot techniques. Field derived fractional flow curve is generated to determine displacement efficiency. Besides recovery estimated from volumetric sweep and displacement efficiency, hydrocarbon pore volume (HCPV) injected vs. post-waterflood cumulative oil production is used to determine ultimate recovery at 99% water cut. When combined with DCA results, the analysis yields incremental water flood recovery potential. The injection requirement to redress the historical voidage is determined assuming 5 years of injection and injection required to address current voidage. Therefore, the current total injection requirement is 50% higher than current injection rate. As water production increases, the maximum injection requirement is 75% higher than current injection rate by 2025 and thereafter progressively reduces as oil and water rates decline. Volumetric sweep estimated by different techniques are in good agreement with each other, lending credence to the methods used. The ultimate water drive and waterflood recovery using sweep and displacement efficiency is 51% and compare favourably with HCPV injected method. In contrast to remaining waterflood recovery of 8% of original oil-in-place (OOIP), the DCA analysis indicates a recovery of 2.7% of OOIP. This underscores the fact that current injection is not adequate and additional injection will be required to improve production. This is in good agreement with the current production performance of the reservoir showing both gross and oil rate decline. This study underscores the importance of fit-for-purpose use of analytical tools to diagnose, analyse and improve waterflood performance.

Publisher

IPTC

Reference27 articles.

1. Reservoir Management For Waterfloods;Baker,1997

2. Reservoir Management For Waterfloods-Part II;Baker,1998

3. Mechanism of fluid displacement in sands;Buckley;Trans. AIME,1942

4. Bondar, V.V. and Blasingame, T.A. 2002. Analysis and Interpretation of Water-Oil-Ratio Performance. Paper SPE 77569 presented at the SPE Annual Technical Conference and Exhibition held inSan Antonio, Texas, U.S.A., 29 September-2 October.

5. Simple tools for forecasting waterflood performance;Can;J. Petrol. Sci. Eng.,2014

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