发明名称 |
STOCHASTIC INVERSION OF GEOPHYSICAL DATA FOR ESTIMATING EARTH MODEL PARAMETERS |
摘要 |
A computer implemented stochastic inversion method for estimating model parameters of an earth model. In an embodiment, the method utilizes a sampling-based stochastic technique to determine the probability density functions (PDF) of the model parameters that define a boundary-based multi-dimensional model of the subsurface. In some embodiments a sampling technique known as Markov Chain Monte Carlo (MCMC) is utilized. MCMC techniques fall into the class of "importance sampling" techniques, in which the posterior probability distribution is sampled in proportion to the model's ability to fit or match the specified acquisition geometry. In another embodiment, the inversion includes the joint inversion of multiple geophysical data sets. Embodiments of the invention also relate to a computer system configured to perform a method for estimating model parameters for accurate interpretation of the earth's subsurface. |
申请公布号 |
WO2010090825(A2) |
申请公布日期 |
2010.08.12 |
申请号 |
WO2010US21457 |
申请日期 |
2010.01.20 |
申请人 |
CHEVRON U.S.A. INC.;HOVERSTEN, GARY MICHAEL |
发明人 |
HOVERSTEN, GARY MICHAEL |
分类号 |
G01V11/00;G01V1/28;G01V3/38;G06F19/00;G06T17/50 |
主分类号 |
G01V11/00 |
代理机构 |
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