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西泉地区电阻率参数反演及火山岩储层预测

Resistivity Parametric Inversion and Volcanic Rock Reservoir Prediction in Xiquan Area

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【作者】 关旭周路宋永陈大有王丽君

【Author】 Guan xu~1,Zhou Lu~1,Song Yong~2,Chen Dayou~3,Wang Lijun~4 1.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation.Southwest Petroleum University,Chengdu,Sichuan 610500,China 2.Exploration and Development Research Institute,Xinjiang Oilfield Company.CNPC,Karamay,Xinjiang 834000,China 3.PKKR,PK Project of Chinese Oil Kazakhstan Company,Kyzylorda 120001,Kazakhstan 4.Zhanjiang Branch,CNOOC,Zhanjiang.Guangdong 524057,China

【机构】 "油气藏地质及开发工程"国家重点实验室·西南石油大学中国石油新疆油田公司勘探开发研究院中国石油哈萨克斯坦公司PK项目PKKR公司中海石油(中国)有限公司湛江分公司

【摘要】 新疆准噶尔盆地东部西泉地区石炭系火山岩岩性特征分布复杂,受火山岩影响地震资料品质较差,采用常规地震储层预测方法识别火山岩储层效果不明显。通过分析研究区火山岩储层测井与地震响应特征,应用电阻率曲线构建拟声波曲线从而改善了波阻抗反演在火山岩储层识别中的效果。在对火山岩储层统计分析基础上,利用深浅电阻率差值和电阻率幅度差识别火山岩储集层,结合高分辨率波阻抗反演与电阻率参数反演信息的融合,预测了石炭系火山岩有利储层分布区。实际资料应用表明,电阻率差值参数反演能够较好地反映出火山岩储层平面变化特征。

【Abstract】 The characteristics of volcanic rock distribution which located in Xiquan Area,eastern Junggar Basin,is so complex. Moreover,the quality of seismic data,affected by volcanic rock,is in poor quality.As a result,using conventional seismic reservoir prediction method to identify the volcanic reservoir effect is not obvious.Through analyzing the characteristics of both seismic section and log response,the paper utilizes resistivity curve reconfiguration to form sonic curve,improving the effect of acoustic impedance inversion in identifying volcanic reservoir.In addition,on the base of statistical analysis of volcanic reservoir,recognising beneficial reservoir with differential resistivity and amplitude difference of resistivity,and combining with high-resolution wave impedance inversion and resistivity parameter inversion of information fusion,can be used to predict the favorable reservoir’s distribution area of carboniferous volcanic rock.The application of actual data demonstrated that differential resistivity parametric inversion can better reflect the changing characteristics of volcanic reservoir plane.

【基金】 国家科技重大专项(2011ZX050001-006)
  • 【文献出处】 西南石油大学学报(自然科学版) ,Journal of Southwest Petroleum University(Science & Technology Edition) , 编辑部邮箱 ,2013年03期
  • 【分类号】P618.13
  • 【网络出版时间】2013-06-02 09:34
  • 【被引频次】7
  • 【下载频次】211
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