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    华北型煤田回采工作面隐伏地质异常全波形反演技术研究

    Full-waveform inversion for detecting concealed geological anomalies in longwall face of North China coalfields

    • 摘要: 精准查明采煤工作面内的隐伏地质异常,是保障深部煤炭安全高效开采的关键。为此,提出了基于交错网格高阶有限差分与伴随状态法高精度的地震全波形CT探测技术。该技术构建不依赖子波的卷积型目标函数,通过多尺度策略与波场重构驱动迭代反演。以工作面陷落柱及断层破碎带为例开展了工作面底板二维弹性波数值模拟试验。试验结果表明,该反演方法能有效收敛并重建异常体的位置、形态及速度结构,验证了方法的可靠性。现场应用进一步证明,该方法不受煤层连续性约束,探测深度大、分辨率高,可有效识别小断层、陷落柱等隐伏地质异常,为深部煤矿安全开采提供可靠的技术支持。

       

      Abstract: Accurate identification of concealed geological anomalies within longwall panels is essential for safe and efficient deep coal mining. A high-resolution seismic full-waveform tomography method based on a high-order staggered-grid finite-difference scheme and the adjoint-state method was developed. A convolution-based objective function independent of the source wavelet was constructed, and iterative inversion was performed using a multiscale strategy and wavefield reconstruction. Two-dimensional elastic-wave numerical simulations were conducted for the floor of a longwall panel, with collapse columns and fault fracture zones considered as representative geological anomalies. The results show that the proposed inversion method converged effectively and accurately reconstructed the locations, geometries, and velocity structures of the anomalous bodies, demonstrating the reliability of the method. Field application further showed that the method is not constrained by coal-seam continuity and provides greater investigation depth and higher resolution. It can effectively identify concealed geological anomalies such as small faults and collapse columns, providing reliable technical support for safe deep coal mining.

       

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