F. Silva, C. Beneduzi, Gabriel Feres Nassau, T. B. Rossi
{"title":"Carbonate Porosity and Permeability from Sonic Log","authors":"F. Silva, C. Beneduzi, Gabriel Feres Nassau, T. B. Rossi","doi":"10.4043/29782-ms","DOIUrl":null,"url":null,"abstract":"\n The main goal of this work was to estimate carbonate porosity from sonic log S-wave slowness measurement, practically insensitive to fluid effect. Methodology is empirical and had already been successfully tested in sandstones (Silva and Beneduzi (2018)).\n Oolitic carbonate reservoir log data were used and porosity is in good agreement with lab data. Small deviations were observed in more heterogeneous carbonate systems mainly composed by stromatolites or bivalves, being interpreted as porous geometry influence.\n Compressional velocity deviation log methodology (Eberli et al., 2003) is currently used to identify porosity type in carbonates. The present rock physics model used to estimate porosity allows to define shear velocity deviations. Combination between Vp (P-wave velocity) and Vs (S-wave velocity) deviation (Vp/Vs deviation log) shows good compatibility with flow zones.\n A significant linear correlation was observed between new deviation curve and the lab values, allowing calculate permeability for the entire well. Results are in good agreement with NMR log permeability. New method brings up important reservoir petrophysical information. Moreover, the results can give a very important technical support in the early stages of well evaluation.","PeriodicalId":10927,"journal":{"name":"Day 3 Thu, October 31, 2019","volume":"2017 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Thu, October 31, 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4043/29782-ms","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
The main goal of this work was to estimate carbonate porosity from sonic log S-wave slowness measurement, practically insensitive to fluid effect. Methodology is empirical and had already been successfully tested in sandstones (Silva and Beneduzi (2018)).
Oolitic carbonate reservoir log data were used and porosity is in good agreement with lab data. Small deviations were observed in more heterogeneous carbonate systems mainly composed by stromatolites or bivalves, being interpreted as porous geometry influence.
Compressional velocity deviation log methodology (Eberli et al., 2003) is currently used to identify porosity type in carbonates. The present rock physics model used to estimate porosity allows to define shear velocity deviations. Combination between Vp (P-wave velocity) and Vs (S-wave velocity) deviation (Vp/Vs deviation log) shows good compatibility with flow zones.
A significant linear correlation was observed between new deviation curve and the lab values, allowing calculate permeability for the entire well. Results are in good agreement with NMR log permeability. New method brings up important reservoir petrophysical information. Moreover, the results can give a very important technical support in the early stages of well evaluation.
这项工作的主要目标是通过声波测井s波慢度测量来估计碳酸盐孔隙度,实际上对流体影响不敏感。方法是经验的,并且已经在砂岩中成功地进行了测试(Silva和Beneduzi(2018))。利用鲕状碳酸盐岩储层测井资料,孔隙度与实验室数据吻合较好。在主要由叠层石或双壳类组成的非均质碳酸盐体系中观察到较小的偏差,这被解释为孔隙几何形状的影响。压缩速度偏差测井方法(Eberli et al., 2003)目前被用于识别碳酸盐岩孔隙类型。目前用于估计孔隙度的岩石物理模型允许定义剪切速度偏差。Vp(纵波速度)和Vs(横波速度)偏差组合(Vp/Vs偏差测井)与流区具有较好的相容性。新的井斜曲线与实验值之间存在显著的线性相关性,从而可以计算出整口井的渗透率。结果与核磁共振测井渗透率吻合较好。新方法提供了重要的储层岩石物性信息。此外,该结果可为井评的早期阶段提供非常重要的技术支持。