高级检索

    陕北煤矿采空区三维地震采集技术研究及效果

    • 摘要: 陕北煤矿采空区位于鄂尔多斯盆地东缘,不仅蕴藏着丰富的煤炭资源,其上古生界(石炭-二叠系)也蕴藏着巨大的天然气勘探潜力。然而,长期、密集的煤炭高强度开采在浅层形成了大量复杂的采空区,这些采空区引起的地震波散射、能量衰减及复杂干扰,严重制约了深部天然气藏的高精度地震成像。以陕北典型煤矿采空区覆盖下的上古生界天然气勘探区块为研究对象,通过精细地质调查、多分区地震波场测试与数值模拟相结合的手段,深入剖析了煤矿采空区的空间形态特征及其对地震波场的响应机制。研究揭示了地震波在穿越采空区“三带”(冒落带、裂隙带、弯曲带)时的传播规律,包括能量衰减特性、频率吸收效应及波形畸变特征,针对性地提出了一套适用于采空区干扰背景下上古生界天然气勘探的三维地震采集方法。实际应用结果表明,该方法显著提高了深部目的层(太原组、山西组)地震资料的信噪比与分辨率,为该区天然气资源的精细评价与有利区带预测提供了高质量的基础数据支撑。

       

      Abstract: The Shaanbei region is located on the eastern edge of the Ordos Basin, which not only harbors abundant coal resources but also possesses significant potential for natural gas exploration in its Upper Paleozoic (Carboniferous-Permian) strata. However, long-term and intensive high-intensity coal mining have formed a large number of complex goaf areas in the shallow layers. These goaf areas cause seismic wave scattering, energy attenuation, and complex interference, severely restricting the high-precision seismic imaging of deep natural gas reservoirs. This paper takes the Upper Paleozoic natural gas exploration block covered by a typical coal mine goaf area in Shaanbei as the research object. By combining detailed geological surveys, multi-zone seismic wave field testing, and numerical simulation, it deeply analyzes the spatial morphological characteristics of the coal mine goaf area and its response mechanism to the seismic wave field. The study reveals the propagation laws of seismic waves as they pass through the ‘three zones’ (caving zone, fractured zone, and bending zone) of the goaf area, including energy attenuation characteristics, frequency absorption effects, and waveform distortion features. It specifically proposes a set of 3D seismic acquisition techniques suitable for natural gas exploration in the Upper Paleozoic under the background of goaf area interference. Practical application results show that this method significantly improves the signal-to-noise ratio and resolution of seismic data in deep target layers (Taiyuan Formation, Shanxi Formation), providing high-quality basic data support for the detailed evaluation of natural gas resources and the prediction of favorable zones in this area.

       

    /

    返回文章
    返回