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电磁传播电阻率测井的二维全参数反演方法研究
引用本文:康俊佐,邢光龙,杨善德.电磁传播电阻率测井的二维全参数反演方法研究[J].地球物理学报,2006,49(1):275-283.
作者姓名:康俊佐  邢光龙  杨善德
作者单位:1.吉林大学物理学院,长春130023 2 燕山大学信息科学与工程学院,秦皇岛 066004
基金项目:国家自然科学基金项目(49774241)资助.
摘    要:Baker Hughes INTEQ的MPR是应用较广的传播电阻率测井仪器,它有4条相位差和4条幅度比测井曲线,本文以它在垂直井中的测井响应为例开展电磁传播电阻率资料的二维反演方法研究.由于其测井响应对地层纵向边界的探测灵敏度比对其他地层参数的大得多,在其资料反演中必须重视地层纵向边界位置的提取和反演精度.本文首先应用特征识别方法由分辨率最好的测井曲线提取地层纵向边界,接着对浅、深探测的两条相位差曲线分别做纵向一维反演,利用此结果来建立二维反演的初始地层模型,采用改进的阻尼型正则化高斯 牛顿优化算法,实现了MPR资料的二维全参数反演.对含23个纵向分层的两种典型地层模型的数值模拟测井资料的二维反演得到了令人满意的结果,它可显著提高MPR的资料解释水平.发现只用它的5条测井曲线就可得到与8条测井曲线几乎相同的反演效果.

关 键 词:MPR  视电阻率曲线  纵向边界位置提取  二维反演  高斯-牛顿优化算法  
文章编号:0001-5733(2006)01-0275-09
收稿时间:2004-12-07
修稿时间:2004-12-072005-07-04

A study on the two-dimensional full-parameter inversion method of the electromagnetic propagation resistivity logging
KANG Jun-Zuo,XING Guang-Long,YANG Shan-De.A study on the two-dimensional full-parameter inversion method of the electromagnetic propagation resistivity logging[J].Chinese Journal of Geophysics,2006,49(1):275-283.
Authors:KANG Jun-Zuo  XING Guang-Long  YANG Shan-De
Institution:1.College of Physics, Jilin University, Changchun 130023, China 2 College of Electronical Engineering, Yanshan University, Qinhuangdao 066004, China
Abstract:The multiple propagation resistivity tool (MPR) of the Baker-Hughes INTEQ is the widely used electromagnetic propagation resistivity logging tool. It has four phase difference curves and four amplitude ratio curves. With it as an example, we present a two-dimensional inversion method of the electromagnetic propagation resistivity logging data in vertical borehole. Because the sensitivity of logging response to the layer's boundary is much higher than that to other formation parameters, so how to accurately pick up the layer's boundary is important. The method described in this paper begins by picking the layer's boundaries from the highest resolution curve with the characteristic recognition method. It then performs vertical one-dimensional inversion to the shallow and deep detection phase difference curves. Utilizing this result to construct the initial model for two-dimensional inversion, this paper carries out the full-parameter inversion by using an improved damping regularized Gauss-Newton optimization algorithm. The satisfying inversion result is obtained for the two typical 23-layer models. The inverse result can significantly improve the quality of MPR interpretation. In addition, it is found that the inversion results from only five curves are nearly the same as the results from eight curves.
Keywords:MPR  Apparent resistivity curve  Picking vertical boundary  Two-dimensional inversion  GaussNewton optimization algorithm
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