Prestack multiwave joint inversion for Young's modulus and Poisson ratio based on stochastic kriging interpolation

Yu, Bo (China University of Petroleum–Beijing) | Zhou, Hui (China University of Petroleum–Beijing) | Zou, Xiaofeng (China University of Petroleum–Beijing) | Zu, Shaohuan (China University of Petroleum–Beijing) | Wang, Ning (China University of Petroleum–Beijing) | Wang, Shucheng (China University of Petroleum–Beijing)

OnePetro 

Prestack multiwave joint inversion for Young's modulus and Poisson ratio based on stochastic kriging interpolation Summary The product of Young's modulus and density can highlight abnormal characteristic of shale gas reservoirs, Poisson ratio can indicate fluid property. In this paper, the joint PP and PS AVO inversion based on Bayes theorem is used to obtain Young's modulus and Poisson's ratio. This method can achieve more accurate elastic parameters for fluid prediction and shale gas reservoir identification. We get the PP and PS wave approximate reflection coefficient by the approximate equation of Aki-Richards. We obtain the object function by Bayes theorem, and we suppose the parameter sequence is subject to the Cauchy distribution.