高频感应测井非线性反演技术及其应用  

A Nonlinear Inversion Technique and Its Application to High-frequency Induction Logging

作　　者：谢关宝[1,2] 

机构地区：[1]中国石油大学地球资源与信息学院,山东青岛266555 [2]中国石化石油工程技术研究院,北京100101

出　　处：《测井技术》2011年第3期234-237,共4页Well Logging Technology

基　　金：国家科技重大专项(2008ZX05020-001);山东省自然基金(Y2007F25)资助

摘　　要：高频感应测井能提供不同频率和不同探测深度测井曲线,对其进行反演可得到原状地层电阻率、冲洗带地层电阻率和相对介电常数、侵入半径等参数。研究高频感应测井资料反演算法,可有效发掘高频感应测井资料应用潜力。采用非线性迭代技术实现高频感应测井的反演。预先假定初始模型,反复修正地层模型,使反演曲线不断逼近实测视电阻率曲线;当达到一定误差判别标准时,停止迭代完成反演,此时的地层模型值即为反演的最终结果。理想模型的算法检验表明,该反演算法具有较高的精度,实际测井资料的反演结果也能够实现储层的流体性质的有效识别。High-frequency induction logging provides rich log data with different probing depths and different frequencies. After inversion, calculated are undisturbed formation resistivity and in- vaded zone resistivity, as well as relative dielectric constant and invasion radius. Inversion algo- rithm of high-frequency induction log data is more useful. Nonlinear iterative technique is used to solve inversion problems in high-frequency induction logging. Firstly, an initial formation model is supposed previously, and then the formation model is iteratively modified, the inversion results gradually approximate to apparent resistivity curves. When certain error matches with discrimina- tory criterion, the iteration and inversion process is finished and the final inputting formation model value is the final inversion results. The test of the algorithm in the ideal model has proved the nonlinear inversion effect, and the inversion results in real log data also effectively identify the fluid property in reservoirs.

关 键 词：高频感应测井 非线性反演 相对介电常数 复杂储层 流体性质 

分 类 号：P631.811[天文地球—地质矿产勘探]