Estimating Geophysical Parameters Using Petrophysical Algorithm to Enhance Hydrocarbon Recovery in Lokaka Field, Niger Delta, Nigeria

D. Adepehin, A. I. Odudu, Adediran Oluwaseun Adelayi, S. O. Adikwu, Muhammad Sanni Ahmad, D. O. Alfred
{"title":"Estimating Geophysical Parameters Using Petrophysical Algorithm to Enhance Hydrocarbon Recovery in Lokaka Field, Niger Delta, Nigeria","authors":"D. Adepehin, A. I. Odudu, Adediran Oluwaseun Adelayi, S. O. Adikwu, Muhammad Sanni Ahmad, D. O. Alfred","doi":"10.56919/usci.1222.003","DOIUrl":null,"url":null,"abstract":"Adoption of Enhanced Oil Recovery (EOR) to boost the hydrocarbon saturation (Sh) of reservoirs has caught the interests of many researchers in Geosciences. Evidence from literature shows that both primary and secondary recovery methods have failed to account for about 60% hydrocarbon (HC) that is trapped in the reservoirs and getting to discover large productive new fields has become a herculean task. This study identified the fluid nature and boundaries of reservoirs using some relevant geophysical (petrophysical) parameters and reservoir rocks physical features such as shale volume (Vsh), permeability (K), water and hydrocarbon saturation (Sw& Sh). Petrophysical data were sourced from the data bank of the Department of Geology, Obafemi Awolowo University, Ile-Ife, Nigeria. Analysis of data was done using the PETREL 2010 and OpendTect 4.6.0 versions for quality checking, delineation of identified reservoirs, fluid contacts demarcation and fluid types’ determination. The interpreted data were thereafter loaded into Microsoft Excel environment in order to adopt suitable statistical relations for the estimation of Vsh, K, Sw and Sh. Exploration of about 59.4% HC with NaOH, 64.5% HC with KOH, 69.5% HC with NH4OH and 78.5% HC with LiOH were discovered after the (EOR) flooding process. Comparison of the Vsh, K, Sw and Sh values before EOR with the values after EOR further showed that the reservoirs produced more HC with EOR. This study concluded that more hydrocarbon saturation can be achieved from reservoirs when EOR is carried out.","PeriodicalId":235595,"journal":{"name":"UMYU Scientifica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"UMYU Scientifica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56919/usci.1222.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Adoption of Enhanced Oil Recovery (EOR) to boost the hydrocarbon saturation (Sh) of reservoirs has caught the interests of many researchers in Geosciences. Evidence from literature shows that both primary and secondary recovery methods have failed to account for about 60% hydrocarbon (HC) that is trapped in the reservoirs and getting to discover large productive new fields has become a herculean task. This study identified the fluid nature and boundaries of reservoirs using some relevant geophysical (petrophysical) parameters and reservoir rocks physical features such as shale volume (Vsh), permeability (K), water and hydrocarbon saturation (Sw& Sh). Petrophysical data were sourced from the data bank of the Department of Geology, Obafemi Awolowo University, Ile-Ife, Nigeria. Analysis of data was done using the PETREL 2010 and OpendTect 4.6.0 versions for quality checking, delineation of identified reservoirs, fluid contacts demarcation and fluid types’ determination. The interpreted data were thereafter loaded into Microsoft Excel environment in order to adopt suitable statistical relations for the estimation of Vsh, K, Sw and Sh. Exploration of about 59.4% HC with NaOH, 64.5% HC with KOH, 69.5% HC with NH4OH and 78.5% HC with LiOH were discovered after the (EOR) flooding process. Comparison of the Vsh, K, Sw and Sh values before EOR with the values after EOR further showed that the reservoirs produced more HC with EOR. This study concluded that more hydrocarbon saturation can be achieved from reservoirs when EOR is carried out.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用岩石物理算法估算地球物理参数提高尼日利亚尼日尔三角洲Lokaka油田油气采收率
采用提高采收率(EOR)来提高储层的烃饱和度(Sh)已经引起了许多地球科学研究人员的兴趣。文献证据表明,无论是一次采收率还是二次采收率,都未能达到储层中约60%的油气储量,因此发现大型高产新油田已成为一项艰巨的任务。利用页岩体积(Vsh)、渗透率(K)、含水饱和度(sw&sh)等相关地球物理(岩石物理)参数和储层岩石物理特征识别储层流体性质和边界。岩石物理数据来自尼日利亚Ile-Ife Obafemi Awolowo大学地质系的数据库。使用PETREL 2010和opendect 4.6.0版本进行数据分析,进行质量检查、圈定已识别储层、划分流体接触面和确定流体类型。将解释后的数据加载到Microsoft Excel环境中,以便采用合适的统计关系估算Vsh、K、Sw和Sh。(EOR)驱油过程中发现,NaOH、KOH、NH4OH和LiOH分别可勘探出59.4%、64.5%、69.5%和78.5%的HC。提高采收率前后的Vsh、K、Sw、Sh值对比进一步表明,提高采收率后储层的HC产量更高。研究表明,提高采收率可以提高储层的含油饱和度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Identification and Screening of Biosurfactant Producing Bacteria from Mechanic Workshops Soil in Gusau Metropolis, Nigeria Bioelectricity Generation from Microbial Fuel Cell utilizing Sewage Wastewater and Cow Urine from Dutse Metropolis Jigawa State Distribution and Bioresource Potential of Duckweed (Lemna minor L.) in Maiduguri, Nigeria Rate of Emergence and Mortality of Sceliphron caementarium (Hymenoptera: sphecidae) as a Result of Parasitoids to Endogenous Factors in Ahmadu Bello University Zaria, Kaduna, Nigeria. Challenges and Prospects of Marketing Nigerian-Made Computer Software: A Study on Attitudes and Marketability.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1