基于希尔伯特变换的测井曲线高分辨率处理方法

探索将希尔伯特变换应用于测井资料高分辨率处理与解释的方法。首先利用希尔伯特变换将测井曲线分解成二维信号,然后利用变换结果求测井曲线的瞬时属性参数(瞬时振幅、瞬时相位和瞬时频率),再利用岩心等地质资料和先验地质认识对测井属性曲线进行检验和标定,并将其用于非取心段的薄层测井识别。将所提方法应用于大港滩海张东地区沙河街组三角洲前缘测井评价,发现瞬时相位和瞬时频率测井曲线能够对原测井曲线上的微小变化产生放大效应,提高薄层界面识别精度。在吉林红岗油气田的三角洲相储层构型研究中,利用岩心对高分辨率处理后的曲线进行标定,验证了处理结果的合理性。

High resolution processing method for well logs based on Hilbert transformation

Hilbert transformation was used in resolution-enhancement process and interpretation of well logs.Well log was decomposed into 2D signals with Hilbert transformation and then the instance attributes of well logs including instance amplitude,instance phase and instance frequency were calculated from the 2D signals.The prior geologic knowledge from drilling cores and other sources were employed to calculate the new instance attributes logs and to calibrate the calculated logs.The calculated attribute logs were subsequently used in thin layer interpretation where drilling cores are unavailable.This method was used in logging-based reservoir evaluation of delta front strata in Shahejie formation,Zhangdong shallow sea area,Dagang Oilfield.It is found that the instance phase and instance frequency of well logs can enhance the resolution of well logs to recognize thin layer reservoirs.These attributes can magnify the fine changes on original well logs.The results of this process calibrated by drilling cores are proved to be correct in the reservoir architecture study for delta reservoir of Honggang Oil & Gas Field.