黄土塬区煤田三维地震勘探中OVT域处理技术的应用研究

Application Research of OVT Domain Processing Technology in Three-dimensional Seismic Exploration of Coalfields in Loess Plateau Region

  • 摘要: 针对黄土塬区高家堡煤矿地层浅部覆盖复杂、地震成像质量差、裂缝构造识别难等问题,引入OVT(Offset Vector Tile)域处理技术,构建了适用于宽方位煤田勘探的三维地震处理流程。基于五维插值重建理论,实施数据规则化与稀疏重构,有效提升了地震资料的空间完整性与方位一致性。在此基础上,融合相干属性、方差属性及分频相干融合技术,实现了对煤层裂缝构造的多尺度识别与精细刻画。结果表明,该方法显著增强了断裂结构的横向展布清晰度,预测误差控制在±35 m内,地质一致性良好。研究创新点在于将OVT域五维插值与多属性融合技术联合应用于黄土塬区煤田,显著提升了复杂地质条件下的构造识别精度和资料质量,为井位部署与风险规避提供了有力支撑。

     

    Abstract: In view of the problems of complex shallow coverage, poor seismic imaging quality, difficulty in crack structure identification and others in strata of Gaojiabao Coal Mine in Loess Plateau Region, OVT (Offset Vector Tile) domain processing technology is introduced to construct a three-dimensional seismic processing flow suitable for wide-azimuth coalfield exploration. Based on the five-dimensional interpolation reconstruction theory, data regularization and sparse reconstruction are implemented, effectively improving the spatial integrity and directional consistency of seismic data. On this basis, the coherent attributes, variance attributes, and frequency division coherent fusion technology are integrated to achieve multi-scale identification and fine characterization of coal seam crack structures. The results show that this method significantly enhances the clarity of the lateral distribution of fracture structures, with the prediction error controlled within ± 35 m and good geological consistency. The innovation point of the research is that OVT domain five-dimensional interpolation and multi-attribute fusion technology are jointly applied to coalfields in Loess Plateau Region, significantly improving the structural identification accuracy and data quality under complex geological conditions, providing a strong support for well location deployment and risk aversion.

     

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