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作 者:陈人杰 徐乐意 刘灵 朱焕 易浩 姜曼 CHEN Ren-Jie;Xu Le-Yi;LIU Ling;ZHU Huan;YI Hao;JIANG Man(Shenzhen Branch,CNOOC China Limited,Shenzhen 518000,China)
机构地区:[1]中海石油(中国)有限公司深圳分公司,广东深圳518000
出 处:《物探与化探》2023年第6期1595-1601,共7页Geophysical and Geochemical Exploration
基 金:中国海油集团公司“十四五”重大科技项目(KJGG2022-0403)。
摘 要:低频模型是地震反演的重要组成部分,其准确性直接影响着反演的精度。随着勘探程度的不断加深,中深层陆相地层勘探成为海上勘探的重点领域,陆相地层沉积横向变化快,勘探阶段钻井少,很难通过常规插值方法得到准确的低频模型,制约了地震反演的准确性。针对以上问题,研究了基于协克里金技术的低频模型构建方法,以空间连续测量的地震速度数据为辅变量,以垂向分辨率高的测井数据为主变量,通过协克里金插值将辅变量信息整合到估计结果中,弥补了主变量数据空间测量不足的缺点,得到了高精度的反演低频模型,为少井区建模提供了有效方法。实际资料应用表明,该方法相较于常规方法提高了反演低频模型的精度,提高了储层预测的可靠性,具有广泛的应用前景。Low frequency model is an important part of seismic inversion,and its accuracy directly affects the precision of inversion.With the continuous deepening of exploration degree,the exploration of mid-deep continental strata has become a key area of offshore exploration.The lateral variation of sedimentation in continental strata is fast,and there are few wells drilled during the exploration phase.It is difficult to obtain accurate low frequency models through conventional interpolation methods,which restricts the accuracy of seismic inversion.To address these issues,we studied a low frequency model construction method based on co-kriging technology.Using spatially continuous seismic velocity data as auxiliary variables and high-resolution logging data as main variables,we integrated the aux-iliary variable information into the estimation results through co-kriging interpolation method,thus compensating for the shortcomings of insufficient spatial measurement of the main variable data and obtaining a high-precision inversion low frequency model.This solves the problem of constructing low frequency models in areas with few wells.Practical application of the data shows that this method improves the accuracy of the inversion low frequency model compared to conventional methods,enhances the reliability of reservoir prediction,and has wide application prospects.
关 键 词:协克里金 地震反演 低频模型 陆相地层 储层预测
分 类 号:P631.4[天文地球—地质矿产勘探]
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