Experimental analysis of AVO inversion method with generalized extreme value constraint of reflection coefficient

Cai, Hanpeng (Center for information geoscience & School of Resources and Environment, UESTC) | Qin, Qing (Center for information geoscience & School of Resources and Environment, UESTC) | Li, Huiqiang (Center for information geoscience & School of Resources and Environment, UESTC) | Wang, Yaojun (Center for information geoscience & School of Resources and Environment, UESTC) | Zhang, Yuejing (Research Institute of Petroleum Exploration and Development, Sinopec Shengli oilfield Company) | Wang, Qianjun (Research Institute of Petroleum Exploration and Development, Sinopec Shengli oilfield Company) | Wang, Jinduo (Research Institute of Petroleum Exploration and Development, Sinopec Shengli oilfield Company)

OnePetro 

ABSTRACT The existing AVO inversion method based on Bayesian theory only considers the prior distribution of noise in seismic data, but does not take into account the prior distribution of reflection coefficient. In view of this problem, the paper studies the statistical distribution characteristics of seismic reflection coefficient, and proposes the concept and idea of AVO inversion that considering the statistical distribution of reflection coefficient. Moreover, we construct the AVO inversion objective function containing the statistical distribution that constraints of reflection coefficient under the framework of AVO inversion based on Bayesian theory. Considering the difference in the prior distribution of stratigraphic reflection coefficient in different regions, we choose the generalized extremum distribution(GEV) with parameter adaptive adjustment features to describe the statistical distribution of reflection coefficient. Aiming at the high nonlinearity of GEV, the objective function in this paper is solved by an improved particle swarm optimization (PSO) algorithm. The experimental analysis results not only verify the effectiveness and reliability of the proposed method, but also confirm the importance and criticality of constraints of the reflection coefficient distribution. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 9:20 AM Presentation Time: 10:35 AM Location: Poster Station 7 Presentation Type: Poster

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