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复杂孔隙储层三维岩石物理模版
引用本文:李宏兵,张佳佳,蔡生娟,潘豪杰.复杂孔隙储层三维岩石物理模版[J].地球物理学报,2019,62(7):2711-2723.
作者姓名:李宏兵  张佳佳  蔡生娟  潘豪杰
作者单位:1. 中国石油勘探开发研究院, 北京 100083;2. 中国石油大学(华东)地球科学与技术学院, 青岛 266580
基金项目:中国石油科学研究与技术开发项目(2017D-3504)和中国石油直属院所基金项目(2018D-500811)资助.
摘    要:复杂孔隙储层往往同时发育孔缝洞等多种孔隙类型,这种孔隙结构的复杂性使得岩石的速度与孔隙度之间的相关性很差.经典的二维岩石物理模版只研究弹性参数与孔隙度和饱和度之间的定量关系,而不考虑孔隙结构的影响,用这样的模版来预测复杂孔隙储层的物性参数时带来很大偏差.本文首先证明多重孔隙岩石的干骨架弹性参数可以用一个等效孔隙纵横比的单重孔隙岩石物理模型来模拟;进而基于等效介质岩石物理理论和Gassmann方程,建立一个全新的三维岩石物理模版,用它来建立复杂孔隙岩石的弹性性质与孔隙扁度及孔隙度和饱和度之间的定量关系;在此基础上,预测复杂储层的孔隙扁度、孔隙度以及孔隙中所包含的流体饱和度.实际测井和地震反演数据试验表明,三维岩石物理模版可有效提高复杂孔隙储层参数的预测精度.

关 键 词:岩石物理模版  二维  三维  孔隙类型  物性参数  定量预测
收稿时间:2018-04-11

3D rock physics template for reservoirs with complex pore structure
LI HongBing,ZHANG JiaJia,CAI ShengJuan,PAN HaoJie.3D rock physics template for reservoirs with complex pore structure[J].Chinese Journal of Geophysics,2019,62(7):2711-2723.
Authors:LI HongBing  ZHANG JiaJia  CAI ShengJuan  PAN HaoJie
Institution:1. Research Institute of Petroleum Exploration and Development, Beijing 100083, China;2. School of Geosciences, China University of Petroleum, Qingdao 266580, China
Abstract:Complex porous reservoirs typically host many kinds of pore types, such as cavities, pores and micro-cracks. Such complicated pore structure generally makes the correlation between velocity and porosity of the rock very poor. The classical two-dimensional rock physics template only studies the quantitative relationship between elastic properties and porosity and saturation, without considering pore structure. And it brings great deviation when using this template to predict the physical properties of porous reservoirs. To further address this issue, firstly, this paper proves that the elastic properties of dry-rock frame for multiple-porosity medium can be simulated equivalently by a single-porosity rock physics model with an effective pore aspect ratio. Then, by using effective medium theory and Gassmann equations, a new three-dimensional rock physics template (3D RPT) is established, which can be used to characterize the relationship between elastic properties and reservoir parameters including pore aspect ratio, porosity and water saturation. On this basis of the 3D RPT, the reservoir parameters of complex reservoirs are predicted from the known elastic properties. Tests on real logging and seismic inversion data show that the 3D RPT can effectively improve the prediction accuracy of porous reservoir parameters.
Keywords:Rock physics template  2D  3D  Pore type  Physical properties  Quantitative prediction  
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