›› 2015, Vol. 36 ›› Issue (2): 1-1.doi: 10.7657/XJPG20150216

• 论文 •    

高密度宽方位地震数据处理技术在玛湖凹陷的应用

娄 兵, 姚茂敏, 罗 勇, 郑鸿明, 张 龙   

  1. (中国石油 新疆油田分公司 勘探开发研究院 地球物理研究所,乌鲁木齐 830013)
  • 出版日期:2019-01-01 发布日期:1905-07-12

Application of High Density and Wide Azimuth Seismic Data Processing Technology in Mahu Sag, Junggar Basin

LOU Bing, YAO Maomin, LUO Yong, ZHENG Hongming, ZHANG Long   

  1. (Institute of Geophysics, Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Urumqi, Xinjiang 830013, China)
  • Online:2019-01-01 Published:1905-07-12

摘要: 准噶尔盆地玛湖凹陷油气勘探目前面临的主要难题是构造幅度低、目标层深、储集层薄、非构造圈闭发育。提供高分辨率且振幅保真的地震资料是解决玛湖凹陷油气藏勘探面临难题的关键。在地震资料处理过程中采取了高密度地震资料针对性的处理技术思路,重点对模型法滑动扫描谐振压制方法、共偏移距邻炮干扰分频压制方法、表层和深层分步反Q滤波技术、OVT (偏移距矢量体)域处理等关键技术应用进行了研究和尝试。地震数据处理结果表明,新的技术手段有效地压制地震数据中的强谐振干扰、随机噪声,提高了地震数据的分辨率,地震信号高频端有效频带拓宽约15 Hz,有助于识别不整合、尖灭特征和薄层砂体的识别;在OVT域中,处理后的叠前地震道集数据中振幅随偏移距和方位角变化的信息具有较高的振幅保真度,这一技术为叠前开展砂砾岩优质储集层的识别和预测奠定了基础。

Abstract: The main challenge of oil and gas exploration in Mahu sag can be summarized as "low, deep, thin and subtle", namely, low structure amplitude, deep target zone, thin layer and subtle reservoir. It is suggested that high resolution and amplitude fidelity of the seismic data are the key factors to solve these issues. This paper focused on model methods for slip sweep harmonic noise suppression, common offset frequency interference suppression, the surface and deep step inverseQfiltering technique, OVT (offset vector tile) domain processing, and applied them to Muhu sag. The real seismic data processing results show that the new technology can be used to effectively suppress the strong harmonic interference and random noise, improve the resolution of seismic data, widen the effective band of the high frequency of seismic signal end by about15Hz, which is helpful to characterize the Triassic unconformable pinchouts and identify the thin sand bodies; in the OVT domain, the processed prestack seismic gathers data are of high fidelity in amplitude changing with offset and azimuth information, and lay a solid foundation for high quality glutenite reservoir identification and prediction

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