西南石油大学学报(自然科学版)

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西泉地区电阻率参数反演及火山岩储层预测

关旭1,周路1,宋永2,陈大有3,王丽君4   

  1. 1.“油气藏地质及开发工程”国家重点实验室 西南石油大学,四川成都610500
    2. 中国石油新疆油田公司勘探开发研究院,新疆克拉玛依834000
    3. 中国石油哈萨克斯坦公司PK 项目PKKR 公司,哈萨克斯坦克孜罗尔达120001
    4. 中海石油(中国)有限公司湛江分公司,广东湛江524057
  • 出版日期:2013-06-01 发布日期:2013-06-01
  • 基金资助:

    国家科技重大专项(2011ZX050001–006)。

Resistivity Parametric Inversion and Volcanic Rock Reservoir
Prediction in Xiquan Area

Guan xu1, Zhou Lu1, Song Yong2, Chen Dayou3, Wang Lijun4   

  1. 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
  • Online:2013-06-01 Published:2013-06-01

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。

关键词: 准噶尔盆地, 西泉地区, 火山岩, 储层预测, 电阻率参数反演, 曲线重构

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.

Key words: Junggar Basin, Xiquan Area;volcanic rock, reservoir prediction, curve reconfiguration, resistivity parameter
inversion