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碳酸盐岩缝洞型储层地球物理响应特征及预测方法研究

Study on Geophysical Response Characteristic and Prediction Methodology of Fractured and Cavernous Carbonate Reservoir

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【作者】 郎晓玲彭仕宓康洪全

【Author】 LANG Xiaoling1,,PENG Shimi2,KANG Hongquan3 1.School of Earth and Space Sciences,Peking University,Beijing 100871;2.School of Geosciences,China University of Petroleum(Beijing),Beijing 102249;3.CNOOC Research Institute,Beijing 100026

【机构】 北京大学地球与空间科学学院中国石油大学(北京)地球科学学院中国海洋石油总公司研究总院

【摘要】 针对碳酸盐岩缝洞型储层非均质性强、预测难度大的特点,综合利用岩芯、成像测井和地震等资料,对渤海湾盆地Z地区下古生界奥陶系碳酸盐岩潜山油藏进行储层地球物理响应特征分析和预测方法研究。提出基于裂缝响应属性的储层预测方法,在分频、振幅、相干、波阻抗等多种地震属性分析方法的试验基础上,有针对性地采用改进后的基于线性图像增强的本征值相干预测方法,预测出该区下古生界奥陶系潜山缝洞储层发育带和下一步井位部署主要潜力区。指出Z地区主要发育北东向、北西向和近南北向裂缝,缝洞发育区主要分布在Z9井区、Z37井区、Z21井区和Z13井区。预测结果与已有钻井资料吻合程度较高,取得良好的效果。该方法对同类碳酸盐岩缝洞型油藏的研究具有较好的指导意义。

【Abstract】 Fractured and cavernous carbonate reservoir is highly heterogeneity and it is a challenge to predict reservoir distribution.Integration core observation,formation image log data and seismic data,geophysical response characteristic and prediction method of fractured and cavernous carbonate reservoir were studied in lower palaeozoic buried hill reservoir of area Z in Bohai Bay basin.Proposal reservoir prediction method is based on fracture response seismic attributes.On basis of the analysis of seismic multi-attributes,spectral decomposition,amplitude and coherence was tested.Optimized eigen coherence method based on improved linear image was applied to predict fracture and cavernous distribution of lower palaeozoic buried hill fractures,indicating the potential area for future well site deployment.Based on results of the study,a fracture and cavernous distribution prediction map and prospects were generated for the block Z area,including of well Z9,well Z37,well Z21 and well Z13 area.The fracture and cavernous are mainly distributed in north-south,north-west and nearly north-south of area Z.Prediction result fits very well with the drilling result.This methodology is a useful guidance for the same type of carbonate reservoir characterization.

  • 【文献出处】 北京大学学报(自然科学版) ,Acta Scientiarum Naturalium Universitatis Pekinensis , 编辑部邮箱 ,2012年05期
  • 【分类号】P618.13
  • 【网络出版时间】2012-07-12 16:21
  • 【被引频次】12
  • 【下载频次】559
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