摘要：As a significant step to characterize a reservoir, reservoir properties estimation plays an essential role in linking elastic parameters with petrophysical property parameters. Most conventional-used estimation methods are implemented in sequential tactics. However, predicting the rock and fluid properties from inverted seismic elastic attributes not only adds cumulative error but also increases the uncertainty and computational cost of inversion. We have developed a direct seismic reservoir properties estimation method intended for the disadvantages of sequential petrophysics inversion methods. The method incorporates the Keys-Xu approximate model into the seismic forward operator, to build a direct correlation between reservoir properties and observed seismic data. Reservoir parameters retrieved can be obtained from prestack seismic data based on the rock-physics model and the exact Zoeppritz equation. The inversion process combines Bayesian theory and Gaussian prior distribution, by which the estimation of petrophysical properties, such as porosity, clay volume, and fluid saturation, can be expressed as a posterior probability density function. The optimal solution is the random value corresponding to the maximum posterior probability density. Theoretical model tests and real dataset applications show that this method can obtain accurate results. The main advantage of this method is the cumulative error of the two-step method is decreased and the uncertainty in the inversion process is reduced. The using of the exact Zoeppritz equation avoids the approximation error of other approximations, such as Aki-Richards, Shuey, and so on, and makes the method applicable to far-offset seismic data.

关键字：Reservoirs; Mathematical models; Rocks; Bayes methods; Predictive models; Reflection; Probabilistic logic; Bayesian theory; exact reflection coefficient equation; petrophysical direct inversion

ISSN号： 1545-598X

卷、期、页：卷21

发表日期：2024-04-10

期刊分区（SCI为中科院分区）：三区

收录情况：SCI（科学引文索引印刷版）,地学领域高质量科技期刊分级目录（国外T1）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

通讯作者：苗发维

第一作者：贺艳晓,王尚旭,黄捍东

论文类型：期刊论文

论文概要：苗发维,贺艳晓,王尚旭,黄捍东，An Improved Inversion Method of Reservoir Parameters Is Based on the Exact Reflection Coefficient Equation，IEEE GEOSCIENCE AND REMOTE SENSING LETTERS，2024，卷21

论文题目：An Improved Inversion Method of Reservoir Parameters Is Based on the Exact Reflection Coefficient Equation