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多相干属性分析技术在断裂和裂缝识别中的应用——以松南气田营城组火山岩为例

Application of Multi-coherence Attributes Analysis Technique to Fault and Fracture Identification:A Case Study of the Yingcheng Formation Volcanics in Songnan Gas Field

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【作者】 张量魏水建

【Author】 Zhang Liang1,Wei Shuijian2(1.China University of Geosciences,Beijing 100083;2.SINOPEC Petroleum Exploration & Production Research Institute,Beijing 100083)

【机构】 中国地质大学中国石化石油勘探开发研究院

【摘要】 火山岩油气藏储层岩性复杂,非均质性强。自2006年以来,松辽盆地南部长岭断陷相继钻探腰深1、腰深101、腰深102、腰平1等井,证实该区深层断陷地层的火山岩是深层天然气的重要储层之一。松南气田地质条件复杂,营城组火山岩储层非均质性强,孔、洞、缝是火山岩气藏的主要储渗空间,裂缝的发育程度是决定油气产能高低的主要因素。通过对松南地区营城组火山岩野外露头、岩心观察描述,结合测井测试等综合研究,认为营城组火山岩裂缝以构造成因裂缝为主。针对研究区目的层裂缝特点,采用多相干属性分析技术,对地震资料进行相关处理,获得倾角体、方位角体和相干体等多种属性数据体,通过对倾角体、方位角体和相干体的联合显示,落实了研究区的微断裂及裂缝发育带,为该区开发井位部署奠定了基础,钻井验证吻合程度高。

【Abstract】 The reservoirs have complex lithology and strong heterogeneity in the volcanic oil and gas reservoirs.Since 2006,well Yaoshen1,Yaoshen101,Yaoshen102 and Yaoping 1 have been drilled successively in Changling fault depression of the southern Songliao Basin,which proved that the volcanic rocks in deep fault depression formations of this area are one of the important reservoirs of natural gas in deep zones.The geological condition in Songnan gas field is complex.The volcanic reservoir of Yingcheng formation has strong heterogeneity with its pores,holes and fractures as main storage and permeation spaces.Growth degree of the fractures is the main influencing factor of oil-gas productivity.Through observation and description on the field outcrop and core,and the comprehensive research on logging and testing,it is considered that the fractures developed in Yingcheng formation are mainly tectogenetic fractures.According to the features of fractures in the study area,multi-coherence attributes analysis technique is applied to 3D seismic data process firstly,and then data volume of dip volume,azimuth volume and coherence volume and other attributes are gained.Through combined visualizing on the above three attributes,micro-fracture and fracture development zone in the study area are known of good matching with well data,which provide the solid foundation for production well arrangement.

【基金】 中国石油化工股份有限公司“松南火山岩裂缝预测与流体识别技术”项目资助,项目编号为P10085
  • 【文献出处】 中外能源 ,Sino-Global Energy , 编辑部邮箱 ,2012年07期
  • 【分类号】P618.13
  • 【被引频次】2
  • 【下载频次】155
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