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地震属性融合技术在海拉尔盆地乌东斜坡带南屯组储层预测中的应用 被引量:9

Application of multi-seismic attribute information fusion in sandstone reservoir prediction in nantun formation in the eastern Wu slope in hailaer basin
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摘要 针对海拉尔盆地乌南次凹乌东斜坡带地区南屯组砂岩储层的特征和勘探难点,应用三维地震资料多属性多元线性回归融合技术,对南屯组砂岩储层敏感的地震属性提取并优选,获得地震属性与钻遇砂岩厚度的相关关系,建立砂岩厚度与多地震属性之间的回归方程,实现对砂岩储层厚度高精度地预测,进而明确乌东斜坡带地区南二段Ⅰ油组砂岩储层厚度发育特征。该方法应用效果良好,为乌东斜坡带地区南二段Ⅰ油组隐蔽圈闭识别预测提供借鉴。 The characteristic of sandstone reservoir in Nantun formation in the eastern Wu slope in Hailaer basin is analyzed in this paper.It points out the exploration difficulties.Against the features and difficulties,the authors apply multiple linear regression in multi-seismic attribute information fusion to make an accurate thickness prediction of sandstone reservoir in N2 I Bed.The general process of this method is as follows.Firstly,extract seismic attributes from 3D-seismic data,optimize sensitive attributes against sandstone reservoir among them.Then analyses the relationship between seismic attributes and thickness of sandstone reservoir.After that,establish the regression equation between seismic attributes and thickness of sandstone reservoir.Base on this regression equation,mapping the plane thickness distribution of sandstone reservoir in N2 Ibed.This method has good application results.With this result,the thickness feature of sandstone reservoir in N2 Ibed can be clearly recognized,which lay a solid foundation for the prediction of subtle traps in N2 Ibed in the eastern Wu slope in Hailaer basin.
作者 朱可丹 王雅春 衣启樊 王昕尧 李梦瑶 赵振铎 彭泷毅 ZHU Kedana b WANG Yachuna(a. College of Earth Science b. The state key laboratory base of unconvent ional accumulat ion and exploitation, Northeast Petroleum University, Daqing 163318 ,China)
出处 《物探化探计算技术》 CAS CSCD 2017年第1期109-115,共7页 Computing Techniques For Geophysical and Geochemical Exploration
基金 国家自然科学基金(41440017) 黑龙江省自然科学基金(D201406)
关键词 乌东斜坡带 南屯组 地震属性融合 多元线性回归 储层砂岩预测 eastern Wu slope Nantun formation multi-seismic attribute information fusion multiple linear regression sandstone reservoir prediction
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