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Simultaneous determination of relative angles and anisotropic resistivity using multicomponent induction logging data

机译:使用多分量感应测井数据同时确定相对角度和各向异性电阻率

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Modem induction tools with multicomponent transmitter-receiver configuration provide direct measurements to derive both horizontal and vertical resistivity that is essential in delineating low resistivity reservoirs frequently encountered in hydrocarbon exploration. The multicomponent induction data are unfocused and nonlinear functions of resistivity structures and geometric factors such as relative dip and azimuth angles. Previous inversion techniques assume the knowledge of relative dip and azimuth. In reality, however, we do not always have accurate a priori information about this angle information. Inappropriate assumption about relative dip and azimuth angles can lead to incorrect inversion results. It is necessary, therefore, to appropriately treat relative dip and azimuth angles in the inversion. In this paper, we first investigate how relative dip and azimuth angles affect multicomponent induction logging data by performing sensitivity analysis. We then explore possible means to extract relative dip and azimuth information from multicomponent induction logging data from inversion. We design a simultaneous 1D inversion method to recover relative dip, relative azimuth, horizontal resistivity, and vertical resistivity. The objective function used in our inversion algorithms assigns the same importance to each inversion parameter. The inversion process is constrained with outside penalty functions. Numerical data tests indicate that our new inversion algorithm can effectively extract information about formation dip as well as anisotropic resistivity structure from multi-component induction logging data.
机译:具有多组分发射器-接收器配置的现代感应工具可提供直接测量值,以导出水平和垂直电阻率,这对于描述油气勘探中经常遇到的低电阻率油藏至关重要。多分量感应数据是电阻率结构和几何因素(例如相对倾角和方位角)的未聚焦和非线性函数。先前的反演技术假定了相对倾角和方位角的知识。然而,实际上,我们并不总是具有关于该角度信息的准确的先验信息。关于相对倾角和方位角的不当假设可能会导致错误的反演结果。因此,有必要在反演中适当地处理相对倾角和方位角。在本文中,我们首先通过执行灵敏度分析研究相对倾角和方位角如何影响多分量感应测井数据。然后,我们探索从反演的多分量感应测井数据中提取相对倾角和方位角信息的可能方法。我们设计了一种同时一维反演方法来恢复相对倾角,相对方位角,水平电阻率和垂直电阻率。我们的反演算法中使用的目标函数为每个反演参数分配了相同的重要性。反演过程受外部惩罚函数的约束。数值数据测试表明,我们的新反演算法可以有效地从多分量感应测井数据中提取有关地层倾角和各向异性电阻率结构的信息。

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