碳酸盐岩地层测井精细处理方法

最优化处理软件推出已经多年，因输入参数多、软件和硬件（工作站）价格昂贵，使得最优化处理程序在现场解释和精细处理中没有得到广泛应用，从而导致测井信息没有充分利用。为了克服常规处理软件和最优化处理软件的缺陷，研究了应用地层成分的相对概念（而不用饱和度概念）建立测井响应方程组的方法，采用了线性方程为主、非线性方程为辅的最优化处理技术；通过对声波和电阻率等非线性测井响应方程的线性化处理，使之变为线性方程组；用矩阵分解变换法求解约束条件下的线性方程组，得到地层组分的最优化处理结果。在WINDOWS环境下开发出了处理软件CFEA，经多口井实际测井资料处理证实，CFEA软件处理的岩性剖面与地层实际一致性更好，计算的孔隙度值精度高，不仅适用于孔隙度较高的四川盆地下三叠统飞仙关组，而且也适用于孔隙度较低的下三叠统嘉陵江组。CFEA软件具有选择解释参数少、计算速度快的特点，能满足碳酸盐岩地层测井资料精细处理和快速解释的要求。

FINENESS SEISMIC PROCESSING METHODS USED FOR CARBONATE RESERVOIRS

The optimization seismic processing software which was developed years ago has not been widely used in fields due to the complexity of many input parameters and high cost on software and hardware at the working station so that the logging data can not be taken full advantage of. In order to make up for a deficiency brought by both conventional and optimization processing software，this study investigated the log response equation built up by use of stratum component，a relative concept instead of saturation，in which the optimization processing techniques are utilized by linear equation as priority while nonlinear equation as supplement. This technique makes linearization processing for acoustic wave and resistivity response equation, and makes standardization for diversity log response equation to eliminate the affection on log curve dimension. By using the matrix decompose conversion method to have the solution to system of linear equations under constraint condition, optimization processing result on stratum component can be gained. The processing software, CFEA, developed under WINDOWS environment, have been proved by processing logging data from some wells, that the lithologic section processed by CFEA has better conformability with actual stratum, the porosity processed has higher accuracy, and CFEA is not only fit for the Feixianguan Formation in which there is higher porosity, but also for the Jialingjiang Formation in which there is lower porosity. CFEA is in possession of the features of fewer explanation parameters selected and faster calculation speed, and can meet the requirements for fineness processing and quickspeed explanation on logging data in carbonate information.