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通南巴构造须四段致密砂岩优质储层预测

High-quality Reservoir Prediction on the Tight Sandstone in Fourth Member of Xujiahe Formation in the Tongnanba Structure

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【作者】 王长城田蒙冉祝荣王国昌

【Author】 Wang Changcheng 1,Tian meng 1,Ran Zhurong 2,Wang Guochang 3 1.College of Energy Resources,Chengdu University of Technology,Chengdu,Sichuan 610059,China 2.Institute of Oil Production Technology,No.2 Oil Production Plant,Henan Oilfield,SINOPEC,Tanghe,Henan 473400,China 3.Puguang Department of Zhongyuan Oilfield,SINOPEC,Dazhou,Sichuan 636150,China

【机构】 成都理工大学能源学院中石化河南油田采油二厂工艺研究所中石化中原油田普光分公司采气厂

【摘要】 针对川东通南巴构造须家河组四段储层较致密的特点,采用地球物理反演、地震属性分析、含气储层地震响应分析等多种方法相结合的研究思路,首先进行砂体预测,在明确砂体分布特征的基础上开展孔隙度预测,寻找砂体中孔隙度相对高的部分,同时在含气储层地球物理响应模式研究的基础上进行含气储层预测,最后预测了须四段优质储层的平面分布。该方法充分利用各种地质与地球物理信息,从砂体预测→高孔隙度砂体预测→含油气砂体预测,多种储层预测方法相结合逐步深入地寻找优质储层,指出有利勘探目标区,可以为致密碎屑岩油气藏勘探提供有充分地质依据的、行之有效的方案。

【Abstract】 Reservoir of the fourth member of Xujiahe Formation of Tongnanba structure is more dense in east Sichuan.Combining methods of such as geophysical inversion,seismic attribute analysis,gas-bearing reservoir seismic response analysis,we make sand body prediction first.Then,on the basis of knowing the distribution of sand body clearly,we make porosity prediction,looking for parts of relatively high porosity of sand body.At the same time,we predict gas-bearing reservoir on the basis of studying geophysical response model of gas-bearing reservoir,and finally,we make predictions about plane distribution of high-quality reservoir of the fourth member of Xujiahe Formation.This method,making use of various geological and geophysical information,and combining many methods of reservoir prediction,from sand body prediction and high porosity sand body prediction to petroleum sand body prediction,works well in looking for high-quality reservoir and pointing out favorable target area of exploration,and thus provides effective scheme for tight clastic rock reservoir exploration.

【基金】 国家自然科学基金委员会与中国石油化工股份有限公司联合基金(40739903);四川省教育厅自然科学青年基金(11ZB037)
  • 【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 ,2012年03期
  • 【分类号】P618.13
  • 【被引频次】8
  • 【下载频次】253
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