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Correction for the Borehole Effect of Multi-component Array Induction Log Data

机译:校正多分量阵列感应测井数据的钻孔效应

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This paper presents a new real-time borehole effect correction scheme designed specifically for processing multi-component array induction logging data. This algortihm consists of the following steps: reading raw data and preprocessing, estimating tool eccentricity azimuthal angle, inverting the unknown model parameters, correcting the borehole effects, and generating the borehole corrected results. The inversion of the modeled parameters is the key component of the correction scheme. The inversion algorithm converts the inversion problem of one high-dimensional unknown vector into several lower-dimension vectors, this separation is based on their sensitivity to various components of the measured conductivity tensor for the different sub-arrays. This dimensionality reduction makes the borehole correction inversion simpler, and more reliable. Because the three-dimensional simulation of a multi-component induction is a very time consuming process, the forward modeling used in the inversion is based on a pre-calculated look-up table. Hence, the inversion is fast, and the borehole correction processing can be applied in real time or at the well site. To validate the new borehole correction scheme, synthetic multi-component induction log data is processed using this new scheme. The obtained borehole corrected log results demonstrate its reliability and effectiveness.
机译:本文提出了一种新的实时井眼效应校正方案,该方案是专为处理多分量阵列感应测井数据而设计的。该算法包括以下步骤:读取原始数据和进行预处理,估计工具偏心距方位角,反转未知模型参数,校正井眼影响以及生成井眼校正结果。建模参数的反演是校正方案的关键组成部分。反演算法将一个高维未知向量的反演问题转换为几个低维向量,这种分离是基于它们对不同子阵列对电导率张量的各个分量的敏感性。这种尺寸减小使得井眼校正反演更简单且更可靠。由于多分量感应的三维模拟是一个非常耗时的过程,因此反演中使用的正向建模基于预先计算的查找表。因此,反演速度快,并且可以实时或在井场进行井眼校正处理。为了验证新的井眼校正方案,使用该新方案处理了合成的多组分感应测井数据。所获得的井眼校正测井结果证明了其可靠性和有效性。

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