...
首页> 外文期刊>Energy Exploration & Exploitation >Prediction of sweet spots in shale reservoir based on geophysical well logging and 3D seismic data: A case study of Lower Silurian Longmaxi Formation in W4 block, Sichuan Basin, China
【24h】

Prediction of sweet spots in shale reservoir based on geophysical well logging and 3D seismic data: A case study of Lower Silurian Longmaxi Formation in W4 block, Sichuan Basin, China

机译:基于地球物理测井和3D地震数据的页岩储层甜点区预测-以四川盆地W4区块下志留统龙马溪组为例

获取原文
获取原文并翻译 | 示例
           

摘要

W4 block of Sichuan Basin is a pioneer in shale gas exploration and development in China. But geophysical prospecting is just at its beginning and thus has not provided enough information about how sweet spots distribute for the deployment of horizontal well. This paper predicted sweet spots based on logging and 3D seismic data. Well logging interpretation method was used to get the key evaluation parameters of shale reservoir and determine the distribution of sweet spots in vertical direction. Rock physics analysis technology was used to define the elastic parameters that were sensitive to the key evaluation parameters, such as TOC and gas content of shale gas reservoir. At the same time the quantitative relationships between them were established. Based on the result of seismic rock physics analysis, prestack inversion was carried out to predict the transverse plane distribution of the key evaluation parameters of shale reservoir. These research results are integrated to determine the distribution of sweet spots. The results show that sweet spots in this area were characterized by high TOC content, high gas content, high GR, high Young's modulus, low Poisson's ratio, low density, and low P-wave velocity. Density was the most sensitive elastic parameters to TOC of the reservoir. The optimal combination for predicting the gas content is composed of six parameters include density, Poisson's ratio, and so on. Sweet spots in this block vertically concentrate within 30m above the bottom of Longmaxi Formation. Two classes of sweet spots have been predicted in this area, class I sweet spots are recommended to be prioritized for development. This study effectively predicted the spatial distribution of sweet spots, which provide important guidance for the development of the area.
机译:四川盆地W4区块是中国页岩气勘探与开发的先驱。但是,地球物理勘探尚处于起步阶段,因此尚未提供有关最佳位置如何分布以部署水平井的足够信息。本文基于测井和3D地震数据预测了最佳位置。采用测井解释方法得到页岩储层关键评价参数,确定垂直方向上的甜点区分布。岩石物理分析技术被用来定义对关键评价参数敏感的弹性参数,例如页岩气储集层的TOC和含气量。同时建立了它们之间的定量关系。根据地震岩石物理分析结果,进行叠前反演,预测页岩储层关键评价参数的横断面分布。将这些研究结果综合起来确定最佳点的分布。结果表明,该地区的甜点具有高TOC含量,高瓦斯含量,高GR,高杨氏模量,低泊松比,低密度和低波速的特点。密度是对储层总有机碳最敏感的弹性参数。预测气体含量的最佳组合由六个参数组成,包括密度,泊松比等。该区块的最佳位置垂直于隆马溪组底部30m以内。在该区域已预测出两类最佳景点,建议优先开发I类最佳景点。这项研究有效地预测了甜点的空间分布,这为该地区的发展提供了重要的指导。

著录项

  • 来源
    《Energy Exploration & Exploitation》 |2017年第2期|147-171|共25页
  • 作者单位

    China Univ Petr, Beijing, Peoples R China|PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    China Univ Petr, Beijing, Peoples R China|PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    China Univ Petr, Beijing, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev, Langfang, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Shale gas; sweet spots; Longmaxi Formation; TOC; brittleness; pressure prediction; 3D seismic;

    机译:页岩气;甜点;龙马溪组;TOC;脆性;压力预测;3D地震;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号