基于普光地区嘉二段储层模型正演的地震响应特征研究
Forward Modeling of Jia-2 Reservoir Seismic Response Characteristics in the Puguang Area
刘洪铭 1徐坤 2王身建 2陈琦 2曾正清3
作者信息
- 1. 广东石油化工学院 石油工程学院,广东 茂名 525000
- 2. 广东石油化工学院 石油工程学院,广东 茂名 525000;广东省非常规能源工程技术研究中心,广东 茂名 525000
- 3. 中国石化中原油田分公司 勘探开发研究院,河南 郑州 450018
- 折叠
摘要
川东北地区嘉陵江组储层主要分布在嘉二段,厚度较薄,孔隙度及渗透率普遍较低,储层与围岩地球物理特征关系复杂,直接预测储层存在较大的难度.根据嘉二段储层地质特征,结合不同类储层测井与地震响应特征,建立了其正演模型.研究结果表明,嘉二段储层测井特征以较低密度、较高速、较高阻抗、较低伽马和较高孔隙度为主,储层速度与阻抗大于石膏与灰岩而小于白云岩,储层密度小于石膏与白云岩而大于灰岩.嘉二段储层正演模型主要包括单套储层模型、多套储层模型与楔状储层模型.单套储层模型中,储层厚度超过 22 m时,其储层顶部反射出现增强;多套储层模型中,厚度小于 9 m的储层在正演剖面上无明显反射特征;楔状储层模型中,厚度超过 13 m的储层在正演剖面上随着储层厚度的增加顶部反射逐渐增强.
Abstract
The Jia-2 carbonate reservoir is characterized by thin thickness,low porosity,and permeability in the Puguang area of northeast Sichuan with complicated exploration,which is difficult to predict the reservoir directly.The forward modeling is established based on the geological,logging,and seismic characteristics of Jia-2 different reservoirs.The results show that the logging characteristics of the Jia-2 reservoir are primarily characterized by lower density,higher speed,higher impedance,lower gamma,and relatively higher porosity.The velocity and impedance of the reservoir are higher than those of gypsum and limestone and lower than those of dolomite,and the density of the reservoir is lower than gypsum and dolomite and greater than limestone.The forward modeling of the Jia-2 reservoir mainly includes the single reservoir model,multiple reservoir model and wedge reservoir model.When the thickness of the reservoir exceeds 22 m in the single reservoir model,the top reflection of the reservoir is enhanced.The reservoirs of the multiple reservoir model with a thickness of less than 9 m have no obvious reflection characteristics in the forward profile.The top reflection of the reservoir with a thickness of more than 13 m increases with the increase of the reservoir thickness in the wedge reservoir model.
关键词
普光地区/嘉二段/测井特征/地震响应/正演模型Key words
Puguang area/Jia-2/logging characteristics/earthquake response/forward modeling引用本文复制引用
基金项目
广东石油化工学院人才引进项目(2023rcy)
出版年
2024
国家科技期刊平台
NSTL
万方数据