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利用随机建模技术预测裂缝分布方向--以王徐庄油田为例
引用本文:陈波,赵海涛. 利用随机建模技术预测裂缝分布方向--以王徐庄油田为例[J]. 石油天然气学报, 2004, 26(4): 42-44
作者姓名:陈波  赵海涛
作者单位:中国地质大学(武汉)信息工程学院,湖北,武汉,430074;长江大学地球科学学院,湖北,荆州,434023;长江大学地球科学学院,湖北,荆州,434023
基金项目:中国石油天然气集团公司中青年创新基金项目(2002-1).
摘    要:王徐庄油田是我国少有的陆相生物灰岩油气藏.储层为含裂缝的孔隙型生物灰岩储层。经过多年注水开发.先前闭合的裂缝开启形成水窜。确定连通裂缝的分布和方向对油田开发调整的成功具有决定性作用。以随机建模技术为核心.采用三步法预测裂缝分市.在王除庄油田的裂缝识别中取得了良好的效果.具有广泛的推广运用价值。

关 键 词:裂缝预测  随机建模  裂缝识别  王徐庄油田
文章编号:1000-9752(2004)04-0042-03

Predicting Fracture Distributional Direction by Using Stochastic Modeling Technique
CHEN Bo. Predicting Fracture Distributional Direction by Using Stochastic Modeling Technique[J]. Journal of Oil and Gas Technology, 2004, 26(4): 42-44
Authors:CHEN Bo
Abstract:Wangxuzhuang Oilfield is a rare hydrocarbon reservoir of continental biogentic limestone, of which reservoir is the one of porous biogenetic limestones with fractures. Through waterflooding of many years, water channeling was formed by the opening sealed fractures, the determination of distribution and direction of fracture connection has a decisive role for the success of adjustment of oilfield development. By using the stochastic modeling as a kernel, a 3 staging method is used to predict the fracture distribution, by which good results are achieved in fracture identification in Wangxuzhuang Oilfield, it is worthy to be introduced widely in oilfields.
Keywords:fracture prediction  stochastic modeling  fracture recognition  Wangxuzhuang Oilfield
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