1887

Abstract

Summary

Simultaneous inversion of petrophysical parameters based on a geostatistical priori information is formulated in a Bayesian framework, combining statistical petrophysics with a geostatistical priori information. Firstly, we can get the geostatistical priori information through Fast Fourier Transform-Moving Average (FFT-MA) and Gradual Deformation Method (GDM). Then according to the statistical petrophysical model, we can get the relation of elastic parameters and petrophysical parameters. Based on the petrophysical relation, we can construct the likelihood function. Finally, we apply Metropolis algorithm in order to obtain an exhaustive characterisation of the posteriori probability density. Compared to deterministic inversion, the method we proposed can integrate high frequency information of well-logging data and have a higher resolution. According to the numerical calculations, we can conclude that the final inversion results match the model well and have a higher resolution. In addition, the direct inversion of petrophysical parameters avoids the accumulation of error and reduces the transmission of uncertainty. And it can increase the computation efficiency.

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/content/papers/10.3997/2214-4609.20141631
2014-06-16
2024-04-24
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