Estimating Elastic Parameters Of Framework Pore Fluid From The Non-situ Samples

This paper mainly based on the innovative principle of equivalent mechanical model, which is established on the media-model of components fluid porous media (called NIU theory and method of inversion) proposed independently by Professor Bin-Hua Niu First. On the basis of parameter inversion of sample data, doing components elastic parameters numerical analysis and research. The paper is divided into two parts: After data preparation and model equation selected, one part is component parameters inversion calculation of homogeneous isotropic elastic fluid porous media; another part is statistical analysis and regression for the calculation results.Firstly, combined with three kinds of rock sample data, grouping data first, according to the equation of pore fluid medium, doing numerical inversion respectively for each set of data; And, doing statistical analysis for each group data inversion results, get 12 components estimate of elastic parameters; Then change model equation into regression equation, get overall parameters of 12 estimate of components elastic parameters obtained by regression inversion. Finally comparing the result of evaluation, through the analysis of the maximum, estimates for minimum, mean and standard etc. in the statistical index parameters, and the test data and estimate the correlation coefficient of data regression, evaluation of credibility and reliability estimate data.Use the sample tests overall density and p-wave and s-wave velocity data, using the reasonable and effective inversion method to calculate the skeleton and fluid components, then get the estimate of elastic parameters. With the help and guidance of Professor Bin-Hua Niu and based on the results of previous studies, this paper obtained the following results:(1) Based on the theory of pore fluid medium, using the sample tests overall density, p-wave and s-wave velocity data, doing the forward and reverse inversion, getting the estimate of sample components elastic parameters.(2) Combined with the 24 gas-bearing sandstone measured samples data, overall group the sample data, doing numerical parameters inversion, statistical analysis and regression inversion, obtain the estimates of elastic parameters, evaluation of credibility and reliability estimate data.(3) Combined with 11 water-saturated sandstone measured samples data, doing numerical parameters inversion, statistical analysis and regression inversion; obtain the estimates of elastic parameters, evaluation of credibility and reliability estimate data.(4) Respectively using single sample traversal grouping and sampling traversal packet processing 40 saturated limestone data, calculating the two different data parameter estimate, comparing the two group of parameter estimate.(5) Three sample components elastic parameters estimation evaluation results showed that the calculating the estimate of components elastic parameters method is feasible, but reliable estimate.