首页> 外文会议>EAGE Conference Exhibition Incorporating SPE EUROPEC >Comparing Basin Modeling to Velocity Modeling for Predicting Pressures in Deep Columbus Basin, Trinidad
【24h】

Comparing Basin Modeling to Velocity Modeling for Predicting Pressures in Deep Columbus Basin, Trinidad

机译:比较盆地模型和速度模型以预测特立尼达深哥伦布盆地的压力

获取原文
获取外文期刊封面目录资料

摘要

The hydrocarbon industry, including Columbus Basin, Trinidad, is moving into deepwater and deeper plays to access new resources. Consequently, well plans generally carry higher risked when compared with historical exploration and development. The sparseness of well control poses a challenge for quantitative subsurface analysis. Methods of pressure prediction are dependent on the location of the basin, the type of basin, its major features and the information that is available. Seismic velocity based analysis, though commonly used and known as a more precise approach, has considerable pit-falls when imaging deep areas. The predominately available P-wave velocities are affected by structure and fluids I.e. shallow gas, both are common in the Columbus Basin. The PS-wave velocities are less affected by the shallow gas than conventional P-wave velocities therefore give a better representation of the pore pressure sub-gas; however extent of data is limited. Basin modeling successfully predicts pore pressures for the deeper sections of the Columbus Basin with the use of well data and structural analysis. This paper will address pressure prediction for the deeper stratigraphy of the Columbus Basin, Trinidad W. I., where basin modeling is deemed the most accurate compared to velocity based methods.
机译:包括特立尼达哥伦布盆地在内的碳氢化合物行业正在向深水领域发展,并且有更多的开采机会来获取新资源。因此,与历史勘探和开发相比,钻井计划通常具有更高的风险。井控的稀疏性对定量地下分析提出了挑战。压力预测的方法取决于盆地的位置,盆地的类型,盆地的主要特征以及可获得的信息。基于地震速度的分析虽然被普遍使用并且被称为更精确的方法,但是在对深部区域进行成像时会出现相当大的凹坑。主要可用的P波速度受结构和流体的影响,即浅层气体,在哥伦布盆地都很常见。与传统的P波速度相比,PS波速度受浅层气体的影响较小,因此可以更好地表示孔隙压力子气体。但是数据范围有限。利用井数据和结构分析,盆地建模成功地预测了哥伦布盆地深部的孔隙压力。本文将探讨特立尼达W.哥伦布盆地深层地层的压力预测,与基于速度的方法相比,盆地建模被认为是最准确的。

著录项

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