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Determination of Petrophysical Parameters and Mud Filtrate Invasion Profile Using Joint Inversion of Induction Logging and Pressure Transient Measurements

机译:使用诱导测井和压力瞬变测量的关节反演测定岩石物理参数和泥浆滤液侵袭曲线

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Induction logging technique is one of the important tools for determining the formation resistivity of the subsurface. The near-wellbore formation resistivity is usually affected by the invasion of water-based mud-filtrate. The flushed-zone resistivity (Rxo), the undisturbed-zone resistivity (Rt) and the diameter of invasion (Di) can be estimated from the interpretation of array induction logging measurements through a model-based inversion process. Conventionally, the inversion assumes a layer-cake formation with three-parameter invasion model or with a four-parameter invasion model that incorporates a ramped transition zone. In this study, we introduce a 2.5D inversion approach for interpreting the induction logging data. The inversion is constrained by using a multiphase fluid-flow model which simulates the mud-filtrate invasion process and calculates the spatial distribution of the water saturation and salt concentration, which are in turn transformed into the formation conductivity using a resistivity-saturation formula. In this way, the inverted invasion profile is consistent with the fluid flow physics. Jointly with the pressure data, the inversion estimates a parametric one-dimensional distribution of permeability and porosity. Previous works either assumed that the mud-cake permeability is known and used the bottom-hole pressure as a boundary condition, or alternatively used an invasion model to calculate the dynamic invasion rate as a boundary condition to the fluid- flow simulator at the wellbore sandface. The dynamic invasion process is complicated and is affected by many factors. Hence, although possible, it is difficult to calculate the invasion rate. This study shows that it is possible to directly invert the mud-filtrate invasion volume from the fluid-flow-constrained inversion of the induction logging data. Moreover, this approach is not limited by the traditional interpretation of the formation test, which is based on a single phase model without taking into account invasion. The joint inversion of the induction logging and pressure data demonstrates the ability to provide a more reliable interpretation of formation permeability. The advantage of the approach presented here, is its possible generalization to three-dimensional geometries, for example dipping beds and highly deviated wells.
机译:感应测井技术是用于确定地下的地层电阻率的重要工具之一。近井地层电阻率通常是由水基泥浆滤液的侵入影响。将该冲洗区电阻率(RXO),未受干扰的带电阻率(RT)和侵入(DI)的直径可以从阵列感应测井测量的通过基于模型的反演过程的解释来估计。以往,反转呈现层滤饼形成具有三个参数浸润模型或与结合有倾斜过渡区四参数浸润模型。在这项研究中,我们介绍了解释感应测井数据的反演2.5D方法。通过使用模拟泥浆滤液侵袭过程的多相流体流动模型来约束反转,并计算水饱和度和盐浓度的空间分布,其又使用电阻率饱和公式转换成形成电导率。这样一来,倒入侵轮廓与流体物理学是一致的。与压力数据共同,反演估计渗透率和孔隙率的参数一维分布。以前的工作或者假设泥饼渗透性是已知的和所使用的井底压力作为边界条件,或者可替换地使用浸润模型来计算动态侵袭率在井筒井底的边界条件,以所述流体的流动模拟器。动态入侵过程是复杂的,是由许多因素的影响。因此,尽管有可能,它是难以计算的侵袭率。该研究表明,可以从感应测井数据的流体流量受限的反演中直接倒置泥浆滤液侵入体积。此外,这种方法不会被形成试验,其基于单相模型没有考虑到入侵的传统解释的限制。的感应测井和压力数据的联合反演演示提供地层渗透性的更可靠的解释的能力。此处呈现的方法的优点是其可能的三维几何形状的概括,例如浸渍床和高度偏离的孔。

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