ISSN 1004-4140
    CN 11-3017/P

    四川盆地须家河组裂缝性油气藏关键处理技术

    Key Processing Techniques for Fractured Oil and Gas Reservoirs in the Xujiahe Formation of the Sichuan Basin

    • 摘要: 摘要四川盆地须家河组裂缝性油气藏具有广阔的勘探潜力。现有地震资料主要面临信噪比不高、反射杂乱等问题。传统OVT域成像技术受限于采集因素导致的各方位覆盖次数不均匀,难以满足多方位裂缝预测需求。针对上述问题,本文研究通过叠前噪声压制、叠前深度域速度建模及成像技术的系统性优化,显著提升须家河组储层成像质量,为裂缝预测提供高精度基础性资料。主要创新点包括:①改进分域叠前噪声压制方法,采用炮域数据重排技术,降低分选噪声的数据冗余与处理耗时,实现噪声压制效率与效果的双重提升;②在共偏移距道集网格层析建模的基础上联合全方位反射角道集网格层析建模,在保证建模精度的同时提高建模效率;③引入全方位角度域成像技术,突破传统OVT域成像的各方位覆盖次数不均匀及远道成像缺陷,全面提升数据成像品质。基于四川盆地JY区块的实证研究表明,新方法获得的成果剖面较传统OVT域成果剖面成像质量显著改善:须家河组地层成像质量显著提升,井震相关度提高,微小裂缝识别能力增强,裂缝发育特征更为清晰。本研究成果为同类裂缝性油气藏勘探提供了高效的数据处理技术体系与实践范例。

       

      Abstract: The Xujiahe Formation fractured oil and gas reservoirs in the Sichuan Basin have broad exploration prospects. The existing seismic data mainly faces challenges of low signal-to-noise ratio and chaotic reflections. Traditional offset vector tile (OVT) domain imaging techniques are affected by acquisition factors, resulting in uneven coverage in various directions, which is not conducive to observing fractures from various directions. To address these issues, this study systematically optimizes pre-stack noise suppression, pre-stack depth domain velocity modeling, and imaging technology to significantly improve the imaging quality of the Xujiahe Formation reservoir and provide high-precision basic data for fracture prediction. The main innovative mainly include three components: (1) optimizing the traditional domain based pre stack noise suppression method, based on the rearrangement of shot domain data, reducing data redundancy and time of domain based sorting noise, and significantly improving the efficiency and effectiveness of pre stack noise suppression; (2) On the basis of grid tomography modeling of common offset gathers, combined with omnidirectional reflection angle domain grid tomography modeling, reasonably applying multiple offset gathers improves modeling accuracy and efficiency; and (3) the use of omnidirectional angle domain imaging technology compensates for shortcomings of traditional OVT domain imaging, such as uneven coverage in various directions and low imaging quality in far offsets, and improves the imaging quality of data. Empirical research based on the JY block in the Sichuan Basin shows that our method significantly improves imaging quality compared to traditional OVT domain results. The Xujiahe Formation imaging quality is significantly improved, the correlation between well seismic activity is enhanced, the ability to identify small fractures is enhanced, and the characteristics of fracture development are clearer. This research provides an efficient data processing technology system and practical framework for the exploring similar fractured oil and gas reservoirs.

       

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