石油物探2025，Vol.64Issue(5)：993-1000,8.DOI:10.12431/issn.1000-1441.2024.0140
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
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.关键词
阵列感应测井/井眼校正/自适应算法/侵入模型/侵入影响/层析技术Key words
array induction logging/borehole correction/adaptive algorithm/invasion model/invasion effect/tomography分类
能源科技引用本文复制引用
蔺敬旗,李国利,刘洁梨,周炬锋,张麟,肖加奇..基于侵入模型和层析技术的阵列感应井眼校正方法[J].石油物探,2025,64(5):993-1000,8.基金项目
江苏省前沿技术研发计划"三维全息随钻方位电磁波电阻率测井装备关键技术研发"(BF2024018)资助. This research is financially supported by the Frontier Technology Research and Development Program of Jiangsu Province(Grant No.BF2024018). （BF2024018）
