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地震资料与测井数据之间的匹配问题已成为地震岩性解释、油藏描述、储层反演以及储层监测过程中的主要问题。目前 ,用于地震与测井匹配校正的方法主要有经典的闭合差校正法、基于杨氏谐振 Q模型的直接匹配法以及基于多分辨分析技术的匹配方法。经典的闭合差校正方法简单直观 ,适应性强 ,但当不存在 VSP数据时 ,需要先进行准确的合成记录制作和层位对比 ;基于杨氏谐振 Q模型的校正方法虽然可直接进行测井与地震数据的匹配 ,但其对测井速度精度要求较高 ,且仅对闭合差为正偏差的情形适用 ;多分辨分析方法与经典闭合差校正具有不足之处相同 ,但前者自动化程度较后者要高。本文在系统分析现有匹配校正方法的基础上 ,提出一种基于最小二乘原理的新的匹配滤波方法 ,该方法可从时间、相位、频率等多方面实现合成记录与地震记录的匹配、校正 ,且效果良好。
Matching between seismic data and log data has become a major issue in seismic lithology interpretation, reservoir description, reservoir inversion and reservoir monitoring. At present, the methods used for the matching correction of seismic and well logging mainly include classical closed-loop correction method, direct matching method based on Young’s resonance Q model, and matching method based on multi-resolution analysis technique. The classical closed correction method is simple and intuitive, and adaptable. However, when there is no VSP data, accurate synthetic record preparation and horizon comparison need to be performed. Although the correction method based on Young’s resonance Q model can directly perform well logging and Seismic data matching, but its accuracy of logging speed is high, and only for the case of positive deviation of closure error applies; multi-resolution analysis method with the classical closure correction has the same deficiencies, but the former degree of automation than the latter To be high. Based on the systematic analysis of the existing matching correction methods, a new matching filtering method based on the principle of least squares is proposed, which can match and correct the synthetic records and the seismic records in terms of time, phase and frequency , And the effect is good.