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微测井资料三维表层速度统计建模方法研究

RESEARCH ON STATISTICS AND MODELING APPROACHES OF THREE-DIMENSIONAL SURFACE VELOCITY WITH MICRO LOGGING DATA

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【作者】 叶勇孙开峰张卫红

【Author】 YE Yong,SUN Kai-feng,ZHANG Wei-hong(Sinopec Geophysical Research Institute,Nanjing 210014,China)

【机构】 中国石油化工股份有限公司石油物探技术研究院

【摘要】 在西部复杂山地地震勘探中,静校正问题尚未完全得到解决,其主要原因是表层速度模型存在困难。微测井测量作为一种传统的较准确的表层速度调查手段,不受复杂地表条件限制,适用于复杂地区观测,但其生产成本高,不能保证逐点连续观测,因而不能直接获得连续的近地表速度模型。这里研究出了起伏地表微测井离散数据地质统计三维建模方法。首先建立基于起伏地表和微测井速度分层的地质框架模型,由地震勘探测量数据形成地表面,依据地质统计技术生成与地形相关的低速带、降速带底面,在此基础上形成微测井离散数据表层速度模型。将该方法应用于川东北HCL工区,利用三百七十口微测井离散数据得到了三维表层速度模型,与微测井速度对比,模型速度精度较高。

【Abstract】 During the seismic explorations of complex mountain regions in west China,the static corrections have not been completely resolved as a result of the difficulty in ascertaining surface velocity model.As a traditional and accurate investigation method of surface velocity,micro logging measurement is not confined by the complex surface conditions and is applicable to the investigation in complex regions.However its high production cost is not able to guarantee the continuous observation point by point.Therefore,the continuous near-surface velocity model can′t be directly obtained.The paper proposed a three-dimensional modeling method by geological statistics of micro logging discrete data in rugged topography.The steps are as follows: First,ground surface is formed using measured data in seismic exploration.Then,the bottom surface of low velocity layer,which is related to terrain,is obtained using geological statistical techniques.On this basis,a geological framework model based on irregular surface and layered micro logging velocity is acquired.Finally,the surface velocity model of micro logging discrete data is received by near-surface geological structure and geological statistical technique.This method is applied to the HCL research area in northeast Sichun.The discrete data of 370 micro logging wells were used to get the three-dimensional surface velocity model.In comparison with the micro logging velocity,the velocity from the model is with a much higher accuracy.

  • 【文献出处】 物探化探计算技术 ,Computing Techniques for Geophysical and Geochemical Exploration , 编辑部邮箱 ,2012年06期
  • 【分类号】P631.84
  • 【下载频次】150
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