首页> 外文会议>SPE annual technical conference and exhibition;ATCE 2005 >Optimal Coarsening of 3D Reservoir Models for Flow Simulation
【24h】

Optimal Coarsening of 3D Reservoir Models for Flow Simulation

机译:用于流动模拟的3D油藏模型的最佳粗化

获取原文
获取外文期刊封面目录资料

摘要

We have developed a new constrained optimization approachto the coarsening of 3D reservoir models for flow simulation.The optimization maximally preserves a statistical measure ofthe heterogeneity of a fine scale model. Constraints arise fromthe reservoir fluids, well locations, pay/non-pay juxtaposition,and large scale reservoir structure and stratigraphy. Theapproach has been validated for a number of oil and gasprojects, where flow simulation through the coarsened modelis shown to provide an excellent approximation to highresolution calculations performed in the original model.The optimal layer coarsening is related to the analyses ofLi and Beckner (2000), Li, Cullick and Lake (1995), andTesterman (1962). It differs by utilizing a more accuratemeasure of reservoir heterogeneity and by being based onrecursive sequential coarsening, instead of sequentialrefinement. Recursive coarsening is shown to be significantlyfaster than refinement: the cost of the calculation scales as(NX·NY·NZ) instead of (NX·NY·NZ)2. The moreaccurate measure of reservoir heterogeneity is very important;it provides a more conservative estimate of the optimalnumber of layers than the analysis of Li et.al.. The latter isshown to be too aggressive and does not preserve importantaspects of the reservoir heterogeneity. Our approach alsodiffers from the global methods of Stern (1999) and Durlofsky(1994). It does not require the calculation of a global pressuresolution and it does not require the imposition of large scaleflow fields, which may bias the analysis, Fincham (2004).Instead, global flow calculations are retained only to validatethe reservoir coarsening.Our approach can generate highly unstructured, variableresolution, computational grids. The layering scheme for thesegrids follows from the statistical analysis of the reservoir heterogeneity. Locally variable resolution follows from theconstraints (reservoir structure, faults, well locations, fluids,pay/non-pay juxtaposition). Our reservoir simulator has beenmodified to allow a fine scale model to be initialized andfurther coarsened at run time. This has many advantages inthat it provides both simplified and powerful workflows,which allow engineers and geoscientists to work with identicalshared models.
机译:我们为3D油藏模型的粗化开发了一种新的约束优化方法,用于流动模拟。该优化最大程度地保留了精细模型异质性的统计度量。约束源于储层流体,井位,有/无向并置以及大型储层结构和地层。该方法已经在许多石油和天然气项目中得到了验证,其中通过粗化模型进行的流动模拟显示了对原始模型中高分辨率计算的极佳近似。最佳层粗化与Li和Beckner(2000)的分析有关, Li,Cullick和Lake(1995)和Testerman(1962)。它通过利用更精确的储层非均质性度量以及基于递归顺序粗化而不是顺序细化而有所不同。递归粗化比精化要快得多:计算成本的缩放比例为(NX·NY·NZ)而不是(NX·NY·NZ)2。更精确的储层非均质性测量非常重要;与Li等人的分析相比,它提供了对最佳层数的更为保守的估计。后者显示的过于激进,并没有保留储层非均质性的重要方面。我们的方法也不同于Stern(1999)和Durlofsky(1994)的全局方法。它不需要整体压力解的计算,也不需要施加大尺度的流场,这可能会使分析产生偏差(Fincham(2004)),而是保留整体流计算只是为了验证储层的粗化作用。高度非结构化,可变分辨率的计算网格。这些网格的分层方案来自储层非均质性的统计分析。局部变量分辨率取决于约束条件(储层结构,断层,井位,流体,有/无带并置)。我们的油藏模拟器已经过修改,可以在运行时初始化精细模型并进一步进行粗化。它具有许多优势,因为它既提供了简化的功能,又提供了强大的工作流程,使工程师和地球科学家可以使用相同的共享模型。

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