Edy Soesanto, Eko Prastio, Jessica Abidin
{"title":"Identifikasi Data Reservoir Dengan Menggunakan Pemodelan Software RFD Untuk Mengetahui Production Forecast Rate Di Sumur J Lapangan A","authors":"Edy Soesanto, Eko Prastio, Jessica Abidin","doi":"10.31599/bpe.v1i1.1008","DOIUrl":null,"url":null,"abstract":"Reservoir simulation is a process of mathematically modeling reservoir conditions by integrating various existing data (geology, geophysics, petrophysics, reservoirs, etc) to obtain reservoir performance in well conditions so that the purpose of reservoir simulation is to determine the current and future reservoir performance to estimate the rate of oil production (production forecast rate). Rapid technological developments encourage experts to create computer software that is used as a simulation tool. The method in this study uses reservoir modeling simulation software. The production forecast rate in this reservoir model is carried out for 2 years by only adding one production well in the reservoir area that has not been drained, namely infill well A. This shows that the oil production rate continues to decrease but increases the cumulative oil production. The cumulative oil production produced by well A was 33,80 STB in 2014 with an average increase of 12%. Therefore, it is necessary to evaluate the reservoir model after 2014 in detail the value of the data again so that the reservoir simulation process for the next forecast gets good oil production results.","PeriodicalId":192894,"journal":{"name":"JURNAL BHARA PETRO ENERGI","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JURNAL BHARA PETRO ENERGI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31599/bpe.v1i1.1008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

油藏模拟是综合现有的各种数据(地质、地球物理、岩石物理、储层等),对储层条件进行数学建模,得到储层在井况下的动态,从而确定储层当前和未来的动态,从而估计出产油量(产量预测率)的过程。快速的技术发展促使专家们开发出作为模拟工具的计算机软件。本研究方法采用储层建模仿真软件。该油藏模型的产量预测速率是在2年的时间里,只增加了1口尚未排干的油区生产井,即a井,这表明产油量在持续下降,但累积产油量在增加。2014年,A井的累计产油量为33,80stb,平均增长了12%。因此,有必要对2014年以后的储层模型进行重新评价,详细评价数据的价值,以便在下一次预测的储层模拟过程中获得良好的采油效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifikasi Data Reservoir Dengan Menggunakan Pemodelan Software RFD Untuk Mengetahui Production Forecast Rate Di Sumur J Lapangan A
Reservoir simulation is a process of mathematically modeling reservoir conditions by integrating various existing data (geology, geophysics, petrophysics, reservoirs, etc) to obtain reservoir performance in well conditions so that the purpose of reservoir simulation is to determine the current and future reservoir performance to estimate the rate of oil production (production forecast rate). Rapid technological developments encourage experts to create computer software that is used as a simulation tool. The method in this study uses reservoir modeling simulation software. The production forecast rate in this reservoir model is carried out for 2 years by only adding one production well in the reservoir area that has not been drained, namely infill well A. This shows that the oil production rate continues to decrease but increases the cumulative oil production. The cumulative oil production produced by well A was 33,80 STB in 2014 with an average increase of 12%. Therefore, it is necessary to evaluate the reservoir model after 2014 in detail the value of the data again so that the reservoir simulation process for the next forecast gets good oil production results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信