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    基于侵入模型和层析技术的阵列感应井眼校正方法

    Borehole correction for array induction logging data with an invasion model and tomography technique

    • 摘要: 针对传统阵列感应测井井眼校正算法与模型假设之间的矛盾导致侵入特征失真的问题,提出了基于侵入地层模型的新型自适应校正方法。针对测井井眼校正原始算法采用无侵入模型进行井眼校正,却以侵入模型为设计基础的理论冲突,通过建立侵入地层几何因子校正模型,创新性地融合层析成像原理,构建了基于多阶跃函数层析建模的井眼校正新算法。该算法将地层侵入剖面分解为多阶跃函数的线性组合,基于几何因子理论推导出子阵列测量响应间的层析关系表达式,从而精确求解井眼影响参数。相较于传统算法将侵入效应误判为井眼影响的缺陷,改进后的算法在井眼校正过程中有效保留了地层侵入特征,因而显著提升了曲线对侵入特征的径向分辨能力。该成果为复杂侵入地层的精确解释提供了新的理论工具。

       

      Abstract: Routine borehole correction algorithms for array induction logging rely on non-invasion models, thus creating a theoretical mismatch when applied to invaded zones. To address this problem, we propose an adaptive method combining an invasion model for geometric factor correction with tomography. The proposed method introduces an innovative approach by decomposing an invasion profile into the linear combination of multiple step functions and establishing the tomographic relationships between sub-array log responses based on the geometric factor theory to accurately solve borehole effect parameters. Unlike conventional approaches that misinterpret mud invasion as borehole effects, the new algorithm effectively preserves formation invasion characteristics during correction, therefore significantly enhancing the radial resolution of log curves for invasion analysis. This advancement establishes a new theoretical framework for the accurate interpretation of complex invaded formations.

       

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