Prediction of Water Saturation for Tight Sandstone Reservoirs by Using Array Dielectric Logging ADL

Hao-peng Guo, Zhang Haitao, Gao-ren Li, Xuecheng Yan, Wenjing Zhang, Yanmei Wang, Liang Xiao, Die Liu
{"title":"Prediction of Water Saturation for Tight Sandstone Reservoirs by Using Array Dielectric Logging ADL","authors":"Hao-peng Guo, Zhang Haitao, Gao-ren Li, Xuecheng Yan, Wenjing Zhang, Yanmei Wang, Liang Xiao, Die Liu","doi":"10.2118/198653-ms","DOIUrl":null,"url":null,"abstract":"\n Conventional hydrocarbon saturation estimation methods based on porosity and resistivity curves cannot be well used in our target formations due to the difficulty of the determination of necessary input parameters. The formation water resistivity was heavily affected by the various salinity. The water salinity was considered to have little effect to the delectric constant, especially for the delectric constants measured with frequency higher than 200 MHz. In this study, we proposed a new model to predict water saturation from the array delectric logging (ADL) data in the Chang 8 Formation of Penyang region, west Ordos Basin, west China. This model was similar with the classic Archie's equation in form, whereas the involved parameters were much easily to be determined. Based on the lab delectric constant measurements of 6 typical core samples, we determined the input parameters in this new model. Meanwhile, considering the effect of pore structure to delectric measurements, a model of calculating various mε from porosity was established. By using the proposed model, we processed several wells with which the ADL data was acquired, the consecutive water saturation curves were calculated. Comparisons of predicted water saturation with irreducible water saturation, core derived results and the drill stem test (DST) data illustrate that this model was reliable. The advantage of this model was that it can be used to precisely calculate water saturation in any formations with various formation water salinity, whereas the conventional methods lost their role.","PeriodicalId":182237,"journal":{"name":"Day 3 Wed, October 23, 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Wed, October 23, 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/198653-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Conventional hydrocarbon saturation estimation methods based on porosity and resistivity curves cannot be well used in our target formations due to the difficulty of the determination of necessary input parameters. The formation water resistivity was heavily affected by the various salinity. The water salinity was considered to have little effect to the delectric constant, especially for the delectric constants measured with frequency higher than 200 MHz. In this study, we proposed a new model to predict water saturation from the array delectric logging (ADL) data in the Chang 8 Formation of Penyang region, west Ordos Basin, west China. This model was similar with the classic Archie's equation in form, whereas the involved parameters were much easily to be determined. Based on the lab delectric constant measurements of 6 typical core samples, we determined the input parameters in this new model. Meanwhile, considering the effect of pore structure to delectric measurements, a model of calculating various mε from porosity was established. By using the proposed model, we processed several wells with which the ADL data was acquired, the consecutive water saturation curves were calculated. Comparisons of predicted water saturation with irreducible water saturation, core derived results and the drill stem test (DST) data illustrate that this model was reliable. The advantage of this model was that it can be used to precisely calculate water saturation in any formations with various formation water salinity, whereas the conventional methods lost their role.
阵列介电测井ADL预测致密砂岩储层含水饱和度
传统的基于孔隙度和电阻率曲线的油气饱和度估算方法由于难以确定必要的输入参数而不能很好地应用于我们的目标地层。地层水电阻率受矿化度影响较大。认为水的盐度对电常数的影响不大,特别是对频率高于200 MHz的电常数的测量。本文提出了一种利用阵列电测井(ADL)资料预测鄂尔多斯盆地西部彭阳地区长8组含水饱和度的新模型。该模型在形式上与经典的阿奇方程相似,但所涉及的参数更容易确定。通过对6个典型岩心样品的实验室电常数测量,确定了该模型的输入参数。同时,考虑孔隙结构对电性测量的影响,建立了由孔隙度计算各种mε的模型。利用该模型对获取ADL数据的几口井进行了处理,计算了连续含水饱和度曲线。预测含水饱和度与不可约含水饱和度、岩心推导结果和钻柱试验(DST)数据的对比表明,该模型是可靠的。该模型的优点是可以精确计算各种地层含水盐度下的含水饱和度,而传统方法失去了作用。
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