Reservoir porosity prediction based on AVO fluid inversion
Fang Xing1, Sun Xiping2, Zhang Ming2, Zhou Chao2
1. College of Geoscience and Surveying Engineering,China University of Mining & Technology(Beijing),Beijing 100083,China;
2. Research Institute of Petroleum Exploration & Development,CNPC,Beijing 100083,China
Abstract:AVO fluid inversion is a program which combines AVO theory with statistics,discriminates the AVO response between actual seismic data and log data,and predict quantificationally the probability of hydrocarbon in reservoirs.To obtain the quantificational porosity prediction of low-porosity and low-permeability reservoirs at target area,we present in this paper an improvement of AVO fluid inversion to make full use of its advantages in statistical analysis with probability theory such as Bayes' theorem and Cauchy distribution,to distinguish anomaly information and extract effective information about reservoir porosity.The prediction results in X69 area show that 79% of the prediction fit to the calculated values of logging data,and the distribution of effective reservoirs in high productivity area is accurately delineated.