首页 | 本学科首页   官方微博 | 高级检索  
     

基于地震信息的稀井网储层建模研究
引用本文:吴凤,田飞,银晓,贾海成.基于地震信息的稀井网储层建模研究[J].重庆科技学院学报(自然科学版),2012,14(3):80-83.
作者姓名:吴凤  田飞  银晓  贾海成
作者单位:1. 延长石油集团有限责任公司研究院,西安,710075
2. 延长油田股份有限公司永宁采油厂,延安,717505
摘    要:针对稀井网区不能采用地质统计学的方法进行高精度储层建模的问题,提出基于地震资料为约束条件的储层建模思路.其主要依据三维地震解释资料和测井重构约束地震反演的预测结果,对储层砂体井间分布和储层物性变化规律进行预测,在预测成果的约束下,采用随机建模的方法,建立储层三维地质模型.经过现场生产的检验,采用这种建模思路建立的模型能够达到油气田开发阶段的精度要求.

关 键 词:稀井网  地震反演  条件模拟  随机建模

Research on Reservoir Bed Modeling in Sparse Well Net Based on the Seismic Information
WU Feng , TIAN Fei , YIN Xiao , JIA Haicheng.Research on Reservoir Bed Modeling in Sparse Well Net Based on the Seismic Information[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2012,14(3):80-83.
Authors:WU Feng  TIAN Fei  YIN Xiao  JIA Haicheng
Affiliation:WU FengTIAN FeiYIN XiaoJIA Haicheng(1.Research Institute of Yanchang Petroleum(group) Co.,Ltd.,Xi’an 710075;2.Yongning Oil Production Plant of Yanchang Oilfield Company Limited,Yan’an 717505)
Abstract:Because the geographical statistics cannot be used in the sparse well net area for the reservoir bed modeling of high accuracy,the paper proposes the modeling thinking of reservoir bed based on taking seismic data as constraint condition.The modeling,depending mainly on the three dimensional seismic explanation information and the prediction results of seismic inversion restricted by logging reconstruction,predicts the distribution of the reservoir sand in the well and the variation law for the physical properties of the reservoir bed to build the three dimensional model of the reservoir bed under the constraint of the prediction results by means of random modeling.This model can help to reach the required accuracy degree at the oil and gas field development stage through the onsite check,meanwhile,and provides a very good reference to the precise evaluation for the reservoir bed in the sparse well net area.
Keywords:sparse well net  seismic inversion  conditional simulation  random modeling
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号