叠前反演基础数据的优化处理——以扎哈泉地区为例  

Prestack inversion basic data optimization process--for example in Zahaquan area

作　　者：熊业刚 罗铮 朱波 李祥 燕宇飞 牛全兵 XIONG Yegang;LUO Zheng;ZHU Bo;LI Xiang;YAN Yufei;NIU Quanbing(Qinghai OilField Company Exploration and Development Research Institute of Petro China, Dunhuang 736200,China;Qinghai OilField Company Exploration Utility Department of Petro China, Dunhuang 736200,China)

机构地区：[1]中国石油青海油田分公司勘探开发研究院,敦煌736200 [2]中国石油东方地球物理勘探责任有限公司青海物探处,敦煌736200

出　　处：《物探化探计算技术》2020年第2期184-193,共10页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：中国石油天然气股份有限公司重大科技专项(2016E-01)。

摘　　要：高质量数据是提高反演精度的基础,通过对扎哈泉原始资料分析认为该区资料存在一定问题,首先,受井眼环境的影响密度曲线在扩径段严重失真,影响后续时深匹配、子波提取、低频模型建立等环节;其次,地震叠前CRP道集存在随机噪音、剩余动校正量、AVO趋势与正演结果不一致使得反演结果产生偏差。基于以上问题在分析曲线内在联系的基础上采用多元线性回归校正方法对失真密度曲线进行校正;采用超面元均值滤波去噪处理技术、非地表一致性层拉平技术、AVO趋势校正提高地震资料的可信度。经过处理后密度曲线在扩径段收敛,时深匹配好,处理后地震数据信噪比高,道集剩余时差与错误AVO趋势现象消除,预测效果得到改善。因此认为以上数据优化处理技术在扎哈泉地区具有一定的适用性。High quality data is the basis to improve the inversion accuracy.Through the analysis of Zahaquan raw data,it is considered that there are some problems in this area.Firstly,the density curve affected by borehole environment is seriously distorted in the expanding section,which affects the following links such as time-depth matching,wavelet extraction,low-frequency model building and so on.Secondly,high energy noise and residual NMO correction exist in pre-stack seismic CRP gathers,which makes the inversion results unstable.Due to the above problems,the distortion density curve is corrected by multiple linear regression correction method,and the signal-to-noise ratio of the data is improved by super-gather,Ladon denoising and maximum statistical energy method.After processing,the density curve converges in the expanding section,the time-depth matching is good,the signal-to-noise ratio of seismic data is high,and the residual time difference of gathers is eliminated.Therefore,the above data optimization processing technology has certain applicability in Zahaquan area.

关 键 词：井眼环境 多元线性回归 超道集 AVO趋势 

分 类 号：P631.4[天文地球—地质矿产勘探]