A two-step method to apply Xu–Payne multi-porosity model to estimate pore type from seismic data for carbonate reservoirs

作     者：Hong-Bing Li Jia-Jia Zhang Sheng-Juan Cai Hao-Jie Pan Hong-Bing Li;Jia-Jia Zhang;Sheng-Juan Cai;Hao-Jie Pan

作者机构：Research Institute of Petroleum Exploration and DevelopmentPetrochina Company LimitedBeijing 100083China School of GeosciencesChina University of Petroleum(East China)Qingdao 266580China 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2020年第17卷第3期

页      面：615-627页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：supported by the China National Key R D plan(2019YFC0605504) Scientific Research&Technology Development Project of China National Petroleum Corporation(Grant Nos.2017D-3504 and 2018D-4305) 

主　　题：Carbonate reservoirs Pore type Physical properties Rock-physics modeling Rock-physics inversion 

摘      要：Carbonate reservoirs exhibit strong heterogeneity in the distribution of pore types that can be quantitatively characterized by applying Xu–Payne multi-porosity ***,there are some prerequisites to this model the porosity and saturation need to be *** general,these application conditions are difficult to satisfy for seismic *** order to overcome this problem,we present a two-step method to estimate the porosity and saturation and pore type of carbonate reservoirs from seismic *** step one,the pore space of the carbonate reservoir is equivalent to a single-porosity system with an effective pore aspect ratio;then,a 3D rock-physics template(RPT)is established through the Gassmann’s equations and effective medium models;and then,the effective aspect ratio of pore,porosity and fluid saturation are simultaneously estimated from the seismic data based on 3D *** step two,the pore space of the carbonate reservoir is equivalent to a triple-porosity *** with the inverted porosity and saturation in the first step,the porosities of three pore types can be inverted from the seismic elastic *** application results indicate that our method can obtain accurate physical properties consistent with logging data and ensure the reliability of characterization of pore type.