Abstract：The sedimentary environment of the reservoir in Block F in the Yanchang gas field is a delta front.Due to the formation compaction,the reservoir has features of low porosity and low permeability.The contrast of interval transit time and density between the reservoir and the surrounding rock is small,which seriously affects the reliability and precision of seismic reservoir prediction.In order to reduce or partially eliminate the influence of compaction on interval transit time and increase the interval transit time contrast (velocity) between the reservoir and the surrounding rock,a method of decompaction correction with a long trend of interval transit time is proposed in the paper.Firstly,the interval transit time are transformed after time-frequency analysis,and divided into different components in the frequency field.Taking the low-frequency component of the standard well as criteria,low-frequency long-trend correction to the interval transit time is carried out for all wells in Block F.Then new interval transit time data are formed by integrating the original high-frequency component and the corrected low-frequency part.Geophysical responses are reanalyzed using the new interval transit time.Now the reservoir is obvious with lower interval transit time,and could be distinguished clearly from the surroundings.Finally,neural network seismic velocity inversion is carried out using the corrected new interval transit time,and a high-resolution acoustic velocity inversion profile is obtained.The reservoir thickness has been accurately predicted.
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LAI Shenghua, CAO Jianhua, ZHANG Cuiping. A method of decompaction correction based on long trend of interval transit time. Oil Geophysical Prospecting, 2020, 55(5): 1102-1109.
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