论文详情
针对准噶尔盆地腹部沙漠区A工区地层岩性目标区薄砂体和小断裂等地质目标的精细识别需求,基于“两宽一高”地震采集资料,开展了宽频处理技术研究。首先,采用近地表Q补偿技术较好地解决了近地表的吸收衰减问题,使地震波的高频成分得到一定程度的补偿;然后,利用地表一致性脉冲反褶积技术最大限度压缩子波,提高地震数据的纵向分辨率;在此基础上开展OVT域叠前时间偏移,通过对偏移道集进行方位各向异性时差校正、提频等优化处理改善叠前道集品质,为叠前反演油气检测奠定良好的资料基础;最后,利用叠后零相位反褶积和蓝色滤波等技术进一步提高地震剖面分辨率。A工区资料处理结果表明,该宽频处理流程显著拓展了地震资料的频带宽度,提高了剖面分辨率,对薄砂体储层和小尺度断裂的刻画更加精细。
To achieve a fine identification of geological targets such as thin sand bodies and small faults in the target area of Working Area A (located in a desert area in the middle of the Junggar Basin),a broadband processing technique was implemented based on wide azimuth,broadband,and high-density seismic acquisition data.First,a near-surface Q-compensation technique was used to overcome the near-surface absorption attenuation and compensate the high-frequency component of the seismic waves.Then,a surface-consistent spike deconvolution was carried out to compress the wavelets as much as possible and improve the vertical resolution of the seismic data.Subsequently,azimuthal anisotropy time difference correction and band broadening of the common reflection point gathers were performed to improve the gather quality,thereby laying a good foundation for oil and gas detection in pre-stack inversion.Finally,zero-phase deconvolution and blue filter techniques were used to further improve the resolution of the seismic image.Processing results of field data showed that the proposed method could broaden the effective reflection frequency band of seismic data,improve the resolution of seismic profiles,and realize a fine identification of thin sand reservoirs and small-scale fractures.
国家油气重大专项课题“准噶尔前陆冲断带油气成藏、关键勘探技术及新领域目标优选”(2016ZX05003-005)资助。