首页> 外文会议>Indonesian Petroleum Association Annual Convention v.2; 20031014-20031016; Jakarta; ID >INTEGRATED GEO-COMPUTATIONAL APPROACH TO IDENTIFY BY-PASSED OIL: A CASE STUDY IN SERUNI FIELD, SUMATRA
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INTEGRATED GEO-COMPUTATIONAL APPROACH TO IDENTIFY BY-PASSED OIL: A CASE STUDY IN SERUNI FIELD, SUMATRA

机译:集成的地质计算方法来识别次要油品:以苏门答腊塞里尼油田为例

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To increase oil recovery is a major challenge in PT. Caltex Pacific Indonesia (CPI) to anticipate a significant decrease of total production in Central Sumatra. As. drilling targets become subtler, and an increased emphasis on enhanced oil recovery schemes is to be implemented, the need for detailed reservoir characterization and description will continue to grow. A comprehensive reservoir characterization has been carried out in Seruni Field, within the area of CPI-PSC Rokan Block. The work involves advanced technology and data such as Chevron EDGE~@ (Edge Detection of Geologic Events) to provide a seismic discontinuity volume for automatic 3D fault framework interpretation. Seismic guided reservoir property estimation is being implemented using seismic attributes. A geostatistical approach is used to model reservoir properties in a stratigraphic grid, which is layered by sequence stratigraphic surfaces and bounded by sedimentary facies as a background. Principle component analysis is used to quickly interpret seismic horizons and a nested variogram and collocated co-kriging technique is applied to significantly reduce mistie in converting time horizons to depth. The extended effort in developing a 3D geo-cellular model based on sedimentary facies and sequence stratigraphy provides a new approach to identify bypassed oil using automatic seed picking of flow-units from perforation intervals in producing wells. The final products are bypassed oil maps, which are used to identify remaining potential and propose new development wells.
机译:提高石油采收率是PT的主要挑战。加德士太平洋印度尼西亚公司(CPI)预计苏门答腊中部的总产量将大幅下降。如。钻井目标变得越来越微妙,并且将更加重视提高采油率计划,对详细的油藏特征和描述的需求将继续增长。在CPI-PSC Rokan区块范围内的Seruni油田进行了全面的储层表征。这项工作涉及先进的技术和数据,例如Chevron EDGE〜@(地质事件的边缘检测),可为自动3D断层框架解释提供不连续的地震体。地震导向储层物性的估算正在使用地震属性进行。地统计学方法用于对地层格网中的储层属性进行建模,该地层格网由层序地层表面分层,并以沉积相为背景。主成分分析用于快速解释地震层,嵌套的变异函数和并置共克里格技术用于显着减少将时间层转换为深度的雾霾。开发基于沉积相和层序地层学的3D地质细胞模型的扩展工作提供了一种新方法,该方法可使用生产井中射孔间隔中流动单元的自动种子采摘来识别旁路油。最终产品绕过了石油图,用于确定剩余的潜力并提出新的开发井。

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