Determining Water Saturation in Permian Basin Intercalated Reservoirs Using NMR Log Data

Pedro A. Romero Rojas, M. Bacciarelli, P. Elkington, R. Shokeir, K. Newsham, J. Pumphrey, E. Lopez, M. Morys, D. Avdeev
{"title":"Determining Water Saturation in Permian Basin Intercalated Reservoirs Using NMR Log Data","authors":"Pedro A. Romero Rojas, M. Bacciarelli, P. Elkington, R. Shokeir, K. Newsham, J. Pumphrey, E. Lopez, M. Morys, D. Avdeev","doi":"10.2118/191587-MS","DOIUrl":null,"url":null,"abstract":"\n Alternating conventional and unconventional reservoir layers in the Permian Basin challenge the acquisition, processing, and interpretation of water saturation (Sw) using nuclear magnetic resonance (NMR) log data. A new-generation NMR wireline tool addresses these challenges using a specially designed conventional-unconventional activation sequence to enable construction of optimized maps of Longitudinal–Transversal Relaxation times (T1-T2 maps) at regular depth intervals.\n T1-T2 maps are used to compute level-by-level Sw based on a multicomponent fluid model with appropriate statistical properties. Each spot in the T1-T2 space represents a fluid component from which a volume fraction is calculated. Integrating the volume fractions gives the total porosity. Because of the diverse relaxation mechanisms in the conventional and unconventional layers, oil spot positions with T1/T2 values greater than two reflect either viscosity (for bulk relaxation) or pore-size distribution (for surface/volume relaxation). Water tends to be close to the 1:1 T1/T2 diagonal line with T1/T2 values less than two. Low permeability means that mud-filtrate invasion does not appear on the T1-T2 maps.\n NMR porosity matched expected values based on core and density-neutron log analysis. NMR fluid-typing-derived Sw—including clay bound water (CBW), capillary bound water (BVI), and free water—matched values from tested intervals. Results are in good agreement with reference values from production and core data within an uncertainty of one standard deviation. The resolution of fluid components in intervals where the components overlap can be enhanced by changes in the inversion parameters and map-grid dimensions.\n This methodology for conventional-unconventional data acquisition followed by a multimodel approach for fluid typing will be applied to other wells. It enables a more accurate assessment of water saturation, especially when intercalated layers of conventional and unconventional reservoirs are present.","PeriodicalId":441169,"journal":{"name":"Day 3 Wed, September 26, 2018","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Wed, September 26, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/191587-MS","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Alternating conventional and unconventional reservoir layers in the Permian Basin challenge the acquisition, processing, and interpretation of water saturation (Sw) using nuclear magnetic resonance (NMR) log data. A new-generation NMR wireline tool addresses these challenges using a specially designed conventional-unconventional activation sequence to enable construction of optimized maps of Longitudinal–Transversal Relaxation times (T1-T2 maps) at regular depth intervals. T1-T2 maps are used to compute level-by-level Sw based on a multicomponent fluid model with appropriate statistical properties. Each spot in the T1-T2 space represents a fluid component from which a volume fraction is calculated. Integrating the volume fractions gives the total porosity. Because of the diverse relaxation mechanisms in the conventional and unconventional layers, oil spot positions with T1/T2 values greater than two reflect either viscosity (for bulk relaxation) or pore-size distribution (for surface/volume relaxation). Water tends to be close to the 1:1 T1/T2 diagonal line with T1/T2 values less than two. Low permeability means that mud-filtrate invasion does not appear on the T1-T2 maps. NMR porosity matched expected values based on core and density-neutron log analysis. NMR fluid-typing-derived Sw—including clay bound water (CBW), capillary bound water (BVI), and free water—matched values from tested intervals. Results are in good agreement with reference values from production and core data within an uncertainty of one standard deviation. The resolution of fluid components in intervals where the components overlap can be enhanced by changes in the inversion parameters and map-grid dimensions. This methodology for conventional-unconventional data acquisition followed by a multimodel approach for fluid typing will be applied to other wells. It enables a more accurate assessment of water saturation, especially when intercalated layers of conventional and unconventional reservoirs are present.
利用核磁共振测井资料确定二叠纪盆地夹层储层含水饱和度
在二叠纪盆地,常规和非常规储层交替存在,这对利用核磁共振测井数据获取、处理和解释含水饱和度(Sw)提出了挑战。新一代核磁共振电缆工具通过特殊设计的常规-非常规激活序列解决了这些挑战,能够在常规深度间隔上构建优化的纵向-横向松弛时间图(T1-T2图)。T1-T2图用于基于具有适当统计性质的多组分流体模型逐级计算Sw。T1-T2空间中的每个点代表一个流体分量,从中计算体积分数。对体积分数进行积分,得到总孔隙度。由于常规层和非常规层的松弛机制不同,T1/T2值大于2的油点位置反映的是粘度(对于体积松弛)或孔隙尺寸分布(对于表面/体积松弛)。水趋于接近1:1 T1/T2对角线,T1/T2值小于2。低渗透率意味着泥滤液侵入未出现在T1-T2图上。核磁共振孔隙度符合岩心和密度-中子测井分析的期望值。核磁共振流体类型衍生的sw包括粘土结合水(CBW)、毛细管结合水(BVI)和测试层段的游离水匹配值。结果在一个标准差的不确定度范围内与生产和岩心资料的参考值吻合良好。通过改变反演参数和地图网格尺寸,可以提高流体分量重叠层段的分辨率。该方法用于常规-非常规数据采集,随后采用多模型方法进行流体分型,将应用于其他井。它可以更准确地评估含水饱和度,特别是当存在常规和非常规储层的夹层时。
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 求助全文
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:604180095
Book学术官方微信