Novel Use of Microbial Hydrocarbon Detection Technology in Reducing the Risk of Nonhydrocarbon Exploration in Oil and Gas Exploration in the South China Sea

IF 3.2 3区 工程技术 Q1 ENGINEERING, PETROLEUM SPE Journal Pub Date : 2023-11-01 DOI:10.2118/218008-pa
Ding Li
{"title":"Novel Use of Microbial Hydrocarbon Detection Technology in Reducing the Risk of Nonhydrocarbon Exploration in Oil and Gas Exploration in the South China Sea","authors":"Ding Li","doi":"10.2118/218008-pa","DOIUrl":null,"url":null,"abstract":"As the exploration of the South China Sea continues into deeper water, the chances of encountering nonhydrocarbon gas (CO2, N2, etc.) reservoirs rise. The question of how to avoid the risks associated with the discovery of nonhydrocarbon gas reservoirs becomes an issue for deepwater (DW) oil and gas exploration. Geomicrobial hydrocarbon detection (GMHD) is a nonseismic hydrocarbon detection technology that is able to predict the hydrocarbon potential of a prospective area at depth. This is accomplished via the detection of specific hydrocarbon-oxidizing bacteria in both onshore soils and offshore sea bottom sediment samples. The effectiveness of this method has been proved repeatedly in DW explorations of the northern South China Sea. It documents a possible solution to nonhydrocarbon gas risk prediction by combining the oil and gas prediction results of geomicrobial hydrocarbon detection with results from geological and geophysical studies to analyze the different microbial responses above nonhydrocarbon gas and hydrocarbon gas reservoirs. This was verified in the DW exploration practices undertaken in the Pearl River Mouth Basin and Qiongdongnan Basin of South China Sea.","PeriodicalId":22252,"journal":{"name":"SPE Journal","volume":"23 1","pages":"0"},"PeriodicalIF":3.2000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPE Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/218008-pa","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, PETROLEUM","Score":null,"Total":0}
引用次数: 0

Abstract

As the exploration of the South China Sea continues into deeper water, the chances of encountering nonhydrocarbon gas (CO2, N2, etc.) reservoirs rise. The question of how to avoid the risks associated with the discovery of nonhydrocarbon gas reservoirs becomes an issue for deepwater (DW) oil and gas exploration. Geomicrobial hydrocarbon detection (GMHD) is a nonseismic hydrocarbon detection technology that is able to predict the hydrocarbon potential of a prospective area at depth. This is accomplished via the detection of specific hydrocarbon-oxidizing bacteria in both onshore soils and offshore sea bottom sediment samples. The effectiveness of this method has been proved repeatedly in DW explorations of the northern South China Sea. It documents a possible solution to nonhydrocarbon gas risk prediction by combining the oil and gas prediction results of geomicrobial hydrocarbon detection with results from geological and geophysical studies to analyze the different microbial responses above nonhydrocarbon gas and hydrocarbon gas reservoirs. This was verified in the DW exploration practices undertaken in the Pearl River Mouth Basin and Qiongdongnan Basin of South China Sea.
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
微生物油气检测技术在降低南海油气勘探非油气勘探风险中的新应用
随着南海油气勘探不断深入,发现非烃气(CO2、N2等)储层的机会越来越大。如何避免非烃类气藏的发现所带来的风险成为深水油气勘探面临的一个问题。地质微生物油气探测技术(GMHD)是一种非地震油气探测技术,能够在深部预测远景区域的油气潜力。这是通过检测陆上土壤和近海海底沉积物样本中的特定碳氢化合物氧化细菌来完成的。该方法的有效性已在南海北部DW勘探中得到多次验证。将地质微生物油气探测油气预测结果与地质、地球物理研究结果相结合,分析非烃气和油气储层上方不同的微生物响应,为非烃气风险预测提供了一种可能的解决方案。南海珠江口盆地和琼东南盆地的DW勘探实践验证了这一点。
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
SPE Journal
SPE Journal 工程技术-工程:石油
CiteScore
7.20
自引率
11.10%
发文量
229
审稿时长
4.5 months
期刊介绍: Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.
期刊最新文献
Sensitivity Analysis and Comparative Study for Different Detection Modes of Logging-While-Drilling Ultradeep Azimuthal Electromagnetic Tools A Grain Size Profile Prediction Method Based on Combined Model of Extreme Gradient Boosting and Artificial Neural Network and Its Application in Sand Control Design Dynamic Scaling Prediction Model and Application in Near-Wellbore Formation of Ultradeep Natural Gas Reservoirs Injection Temperature Impacts on Reservoir Response during CO2 Storage Virtual Meter with Flow Pattern Recognition Using Deep Learning Neural Networks: Experiments and Analyses
×
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