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川西坳陷回龙地区沙溪庙组油气富集性预测技术
引用本文:孙准,杨帆,赵爽.川西坳陷回龙地区沙溪庙组油气富集性预测技术[J].物探化探计算技术,2012,34(3):336-339,241.
作者姓名:孙准  杨帆  赵爽
作者单位:1. 成都理工大学地球物理学院,四川成都610059;成都理工大学“油气藏地质及开发工程”国家重点实验室,四川成都610059
2. 中石化西南油气分公司勘探开发研究院德阳分院,四川德阳,618000
摘    要:四川回龙地区川西坳陷沙溪庙组合气丰富,储层多以河道及叠置河道砂体为主.但是由于河道频繁变迁,形成的储集体单层厚度小,纵向上呈砂泥岩互层,横向变化快,非均质性强,所以储层展布及横向连续性难以准确预测.对此,首先通过分析古沉积环境,确定沉积相特征,建立区域储层的地球物理响应模式.然后运用地震属性分析及像素成像体分频,结合钻井资料,对储层进行平面展布、空间展布和非均质性的预测.最后结合含气性检测,预测出储层的含气富集性,为该区寻找砂体气藏提供了依据.

关 键 词:沙溪庙组  河道砂体  含气识别

TECHNOLOGY FOR PREDICTING HYDROCARBON ACCUMULATION IN SHAXIMIAO FORMATION OF THE WESTERN SICHUAN DEPRESSION
SUN Zhun,YANG Fan,ZHAO Shuang.TECHNOLOGY FOR PREDICTING HYDROCARBON ACCUMULATION IN SHAXIMIAO FORMATION OF THE WESTERN SICHUAN DEPRESSION[J].Computing Techniques For Geophysical and Geochemical Exploration,2012,34(3):336-339,241.
Authors:SUN Zhun  YANG Fan  ZHAO Shuang
Institution:1.Institute of Geophysics of CDUT,Chengdu Sichuan 610059,China;2.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation of CDUT,Chengdu Sichuan 610059,China;3.Deyang Branch of Exploration and Development Institute of Southwest Branch of SINOPEC,Deyang Sichuan 618000,China).
Abstract:The gas resources are rich in group Shaximiao of west Sichuan depression,Sichuan Huilong area.The main type of reservoir is channel and superimposed channel.As the river changed frequently,characteristics of reservoir is small single-layer thickness,interbedded sandy and shaly layers in vertical,fast changing in lateral and strong heterogeneity.Firstly,we determine the sedimentary facies,establish the model of geophysical response of reservoir by analyzing the palaeosedimentary environment.Then,with well drilling data,to predict the plane distribution and spatial distribution of reservoir by using of seismic attribute analysis technology,body image pixel separate frequency technology.At last,based on the result of gas detection,we can predict enrichment of the gas reservoirs,and provide a basis to find gas sand bodies in the area.
Keywords:group Shaximiao  channel sand body  gas detection
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