Bayesian petrophysical-properties estimation with AVA inversion and statistical rock physics
Teng Long1,2, Cheng Jiubing2
1. Geophysical Research Institute, SINOPEC, Nanjing, Jiangsu 210014, China;
2. School of Ocean and Earth Science, State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
Abstract：Based on Bayesian theory, we present a method combining AVA inversion with statistical rock physics to predict the probabilistic distribution of petrophysical-properties. First, we apply a Bayesian linear AVA inversion to estimate elastic parameters from angle-domain gathers constrained by well logging data. Then, combining with target reservoir rock physics model, we invert probabilistic distribution of reservoir parameters from elastic properties according to statistical rock physical relations. The mentioned Bayesian inversion for estimation of elastic and reservoir parameters is addressed by the posterior distribution, which describes various uncertainty related to noise in seismic and rock physical data, heterogeneity in media, approximations of AVA equation and physical models. The approach is tested on synthetic data to show its feasibility, then applied to carbonate reservoir petrophysical-properties estimation in northeast of Sichuan Basin.The example demonstrates the potential applicability of the proposed method.
滕龙, 程玖兵. 贝叶斯框架下联合AVA反演与统计岩石物理的储层参数估计[J]. 石油地球物理勘探, 2014, 49(4): 729-738.
Teng Long, Cheng Jiubing. Bayesian petrophysical-properties estimation with AVA inversion and statistical rock physics. OGP, 2014, 49(4): 729-738.
