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商741井区火成岩地震裂缝预测
引用本文:何瑞武,黄捍东,李群,魏世平,姜晓健.商741井区火成岩地震裂缝预测[J].石油地球物理勘探,2005,40(6):682-687.
作者姓名:何瑞武  黄捍东  李群  魏世平  姜晓健
作者单位:[1]中科院广州地化所 [2]石油大学北京 [3]胜利油田孤岛采油厂 [4]山东省临邑县胜利油田临盘采油厂,251507
基金项目:本文属于国家“863”基金资助项目,项目编号:2002AA614010-01
摘    要:应用地震资料预测裂缝不仅与实际油气开发效果有关,而且也是地震勘探领域的前缘课题。本文采用岩性预测与裂缝预测相结合的思路,首先利用测井约束地震反演方法查明商741井区火成岩分布,再通过三维多尺度边缘检测技术沿火成岩顶、底界进行非等时的裂缝识别,最后结合构造解释、钻测井资料进行裂缝预测,提出油气有利分布区。预测结果表明,此方法的预测精度较高,与实际吻合较好,可指导本区井位部署,具有较高的实用价值。

关 键 词:火成岩分布  裂缝预测  测井约束反演  多尺度边缘检测  油气潜力预测
收稿时间:2005-04-13
修稿时间:2005-04-13

Seismic prediction of fracture in igneous rock in Shang-741 well zone
He Rui-wu,Huang Han dong,Li Qun,Wei Shi-ping and Jiang Xiao-jian Linpan Oil Production Factory,Shengli Oilfield,Lingyi Country,Shandong Province,China.Seismic prediction of fracture in igneous rock in Shang-741 well zone[J].Oil Geophysical Prospecting,2005,40(6):682-687.
Authors:He Rui-wu  Huang Han dong  Li Qun  Wei Shi-ping and Jiang Xiao-jian Linpan Oil Production Factory  Shengli Oilfield  Lingyi Country  Shandong Province    China
Affiliation:He Rui-wu,Huang Han dong,Li Qun,Wei Shi-ping and Jiang Xiao-jian Linpan Oil Production Factory,Shengli Oilfield,Lingyi Country,Shandong Province,251507,China
Abstract:Applying seismic data to predict the fracture is not only relative to real effects of oil-gas development , but also a front subject of seismic exploration. Adopting the idea companing the prediction of lithology with the prediction of fracture,the paper first used logging-constrained seismic inversion to clarify the distribution of igneous rock in Shang-741 well zone,then,carried out the non-isochronal fracture identification along the top and bottom interfaces of igneous rock by using 3-D multi-scale edge detection technique,finally conducted the prediction of fractures by combining with the structural interpretation and drilling and logging data and presented the areas favorable for oil-gas distribution. The predicted results showed that the method has advantages of high-predicted precision and better fit with practice, which could guide arrangement of well site in this area and have higher practical value.
Keywords:distribution of igneous rock  fracture prediction  logging-constrained inversion  multi-scale edge detection  oil-gas potential prediction
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