首页> 外文会议>SPE annual technical conference and exhibition;SPE 2002 >On the Relationship between Resistivity and Permeability Anisotropy
【24h】

On the Relationship between Resistivity and Permeability Anisotropy

机译:电阻率与磁导率各向异性的关系

获取原文
获取原文并翻译 | 示例

摘要

Measurement of resistivity anisotropy is critical to reservernestimation and permeability anisotropy determination is key tornefficient hydrocarbon exploitation. It is now possible tornmeasure resistivity anisotropy with new wireline, multicomponentrninduction hardware. However, it is difficult torndirectly measure or determine permeability anisotropy. Thus,rnit would be beneficial to be able to relate resistivity andrnpermeability anisotropy and predict kv:kh from Rh:Rv (where kvrnand kh are the vertical and horizontal permeabilities, and Rvrnand Rh are the vertical and horizontal components ofrnformation resistivity).rnWe know that both resistivity and permeability anisotropyrnare scale dependent. In our study, we define three scales forrnformation anisotropy properties: The Micro-scale relatesrndirectly to the properties of individual components (e.g., sandrnand shale). The Macro-scale is an intermediate scale definedrnby the vertical resolution of the measurement tools. Mostrnlogging tools are not capable of resolving the individualrnlamina in laminated sand-shale sequences. In this case, thern“macroscopic anisotropy” can be described by the well-knownrnrules for conductors connected in parallel and/or in series. Atrnthe Reservoir-scale, anisotropy is governed by interconnectedrnchannels formed by gaps in the relatively impermeablernshale layers.rnWe have developed a numerical simulator that allows us tornmodel at all scales the anisotropy for resistivity andrnpermeability for arbitrary three-dimensional, periodicrnstructures. The simulation results have been verified withrnknown analytical solutions. With this model we have exploredrnreservoir-scale anisotropy as a function of the lateral extent ofrnthe shales and sands. By varying the thickness of the sandsrnand shales, we investigated the effect of net-to-gross on thernelectrical and permeability anisotropy.rnFrom our studies we conclude that the relationshiprnbetween resistivity and permeability anisotropy is not trivial.rnOn the smaller scales it is controlled by the spatial distributionrnof the pore-space properties and on the larger reservoir scalesrnby the spatial distribution of the sand bodies and gaps in thernshale barriers.rnWe show both numerically and theoretically for 2Drnstructures that resistivity and permeability anisotropy arernidentical for cells with inverse property contrasts. This impliesrnthat fluid and current flow anisotropy are equal. However, thisrndoes not hold for every 3D geometry and in general there is norncorrelation between permeability and resistivity anisotropy onrnthe macroscopic or reservoir scale for laminatedrnsand-shale systems.
机译:电阻率各向异性的测量对于重新估计至关重要,而渗透率各向异性的确定是有效开采油气的关键。现在,可以使用新的电缆,多分量感应硬件来测量电阻率各向异性。然而,难以直接测量或确定渗透率各向异性。因此,rnit能够关联电阻率和渗透率各向异性,并根据Rh:Rv预测kv:kh(其中kvrn和kh是垂直和水平渗透率,Rvrnand Rh是垂直和水平方向的地层电阻率分量)将是有益的。电阻率和渗透率各向异性都与尺度有关。在我们的研究中,我们定义了三种形式的各向异性特征:微观尺度直接关系到单个组件的特性(例如,砂岩和页岩)。宏观尺度是由测量工具的垂直分辨率定义的中间尺度。大多数测井工具不能解决层状砂页岩层序中的单个层。在这种情况下,“宏观各向异性”可以通过用于并联和/或串联连接的导体的公知规则来描述。在储层尺度上,各向异性是由相对不可渗透的页岩层中的缝隙形成的相互连通的通道所控制的。我们已经开发了一种数值模拟器,可以在任意尺度上对任意三维周期性结构的电阻率和渗透率的各向异性进行建模。仿真结果已通过已知的解析解决方案进行了验证。利用该模型,我们探索了储层规模各向异性与页岩和砂岩横向范围的函数关系。通过改变砂岩和页岩的厚度,我们研究了净毛比对电导率和渗透率各向异性的影响。rn从我们的研究中我们得出结论,电阻率和渗透率各向异性之间的关系并不微不足道。孔隙空间特性和较大储集层的空间分布是由页岩屏障中砂体和缝隙的空间分布所决定的。我们在数值和理论上都表明了二维电阻率结构与电阻率和渗透率各向异性相反的二维结构。这意味着流体和电流各向异性是相等的。但是,这并不适用于所有3D几何形状,通常在层状砂页岩系统的宏观或储层尺度上,渗透率与电阻率各向异性之间不存在正相关关系。

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