节点文献
利用随机建模技术预测裂缝分布方向——以王徐庄油田为例
Predicting Fracture Distributional Direction by Using Stochastic Modeling Technique
【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布 ,在王徐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
【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.
【Key words】 fracture prediction; stochastic modeling; fracture recognition; Wangxuzhuang Oilfield;
- 【文献出处】 江汉石油学院学报 ,Journal of Jianghan Petroleum Institute , 编辑部邮箱 ,2004年04期
- 【分类号】TE19;TE122.2
- 【被引频次】8
- 【下载频次】274