四川盆地蓬莱气区近地表Q场求取及应用OA北大核心CSTPCD
Calculation and application of near-surface Q field in Penglai Gas Area,Sichuan Basin
近地表吸收衰减会严重降低地震资料的分辨率,利用微测井资料对近地表吸收结构进行估算,获得表层介质品质因子Q值,再进行反Q滤波补偿,可实现高保真、高分辨率的"双高"处理目的.为此,提出一种改进的谱比法对单井微测井数据进行Q值求取,然后通过拟合表层速度与Q值关系,将近地表速度(V)场转换成近地表Q场.四川盆地的表层较薄,层析反演的近地表速度场深度采样间隔为10 m,难以反映近地表厚度为几米的表层变化.为此,首先结合双井微测井数据的多炮拟合算法,求取浅层比较薄的表层等效Q值;其次结合地面地震的振幅及旅行时信息求取表层的相对Q场;然后用双井微测井求得的绝对Q值对相对Q场进行标定;最后将该表层平面Q场镶嵌在用Q-V拟合关系转换的近地表Q场的浅层,得到该工区优化的近地表Q场,用于地震资料的近地表Q补偿,从而达到拓宽频带、提高地震资料的分辨率的目的.
Near-surface absorption attenuation can seriously reduce the resolution of seismic data.Using micro logging data to estimate the near-surface absorption structure,obtain quality factor Q value of surface layer me-dium,and then perform inverse Q filtering compensation can achieve high fidelity and high resolution proces-sing.This paper proposed an improved spectral ratio method for obtaining Q values from micro logging data of a single well and then fitted the relationship between surface layer velocity and Q values to convert the near-sur-face velocity field into a near-surface Q field.Because the surface layer of the Sichuan Basin is thin,the depth sampling interval of the near-surface velocity field by tomographic inversion is 10 meters,which makes it diffi-cult to reflect the surface layer changes that are several meters.Therefore,combined with the multi-shot fitting algorithm for micro logging data of two wells,the equivalent Q value of the shallow surface layer was obtained.Then,the relative Q field of the surface layer was obtained using the amplitude and travel time information of the seismic data.In addition,the absolute Q value obtained from the micro logging data of two wellswas used to calibrate the relative Q field.Finally,the plane Q field of the surface layer was embedded in the shallow layer of the near-surface Q field converted according to the Q-V fitting relationship,and the optimized near-sur-face Q field of the work area was obtained and used for near-surface Q compensation of seismic data,so as to broaden the frequency band and improve the resolution of seismic data.
韩嵩;陈康;汤聪;王静;张茜;彭浩天
中国石油西南油气田公司,四川成都 610041东方地球物理公司,河北涿州 072750||中油奥博(成都)科技有限公司,四川成都 610051东方地球物理公司,河北涿州 072750
地质学
近地表品质因子QQ值估算表层Q场四川盆地
near surfacequality factor QQ value estimationnear-surface Q fieldSichuan Basin
《石油地球物理勘探》 2024 (003)
443-453 / 11
本项研究受中国石油西南油气田分公司勘探开发研究院项目"2022年度四川盆地物探技术攻关"(2022-N/G-62191)资助.
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