基于绕射属性的不连续地质体探测研究

    Study on detection of discontinuous geological bodies based on diffraction attributes

    • 摘要: 断层、陷落柱等不连续地质体是煤矿生产中常见的隐蔽致灾体,易诱发突水、煤与瓦斯突出等灾害,威胁煤矿安全高效生产。常用于地震勘探的反射波是地下连续界面的地震响应,分辨率有限,而源自不连续地质体的绕射波携带了丰富的小尺度信息,具备高分辨探测潜力,有望从根本上提高地震勘探精度。然而,绕射波能量弱于反射波,在成像剖面上常被反射波遮蔽,难以发挥其探测潜力。因此,提出了一种在偏移剖面上获取绕射属性的方法,包括:利用反偏移方法构建地震波场,然后构建偏移剖面和地震波场之间的角度映射关系并计算地震剖面中的反射倾角;利用反射倾角在地震波场中压制反射波,分离出绕射波场;基于绕射波场构建共成像点道集,采用含极性成像条件计算相干性,生成绕射属性体。数值模拟结果表明:所提方法可有效分离出完整的绕射波信息并压制连续的强反射能量,所得绕射属性在刻画断层和粗糙界面方面具有较高的精度。山西某矿区实际数据应用证实,反映煤层界面信息的强反射信息被有效压制,携带有断层和陷落柱等不连续信息的绕射波得到突出,提取到的绕射属性可准确刻画陷落柱和断层的形态特征。

       

      Abstract: Discontinuous geological bodies such as faults and collapse columns are common concealed hazard-causing bodies in coal mine production. They are prone to inducing disasters including water inrush and coal and gas outburst, thus threatening the safe and efficient production of coal mines. The reflected waves commonly used in seismic exploration are seismic responses of continuous underground interfaces with limited resolution. In contrast, diffracted waves originating from discontinuous geological bodies carry abundant small-scale information and have high-resolution detection potential, which is expected to fundamentally improve the accuracy of seismic exploration. However, the energy of diffracted waves is weaker than that of reflected waves; they are often masked by reflected waves on imaging profiles, making it difficult to exploit their detection potential. Therefore, this study proposes a method for extracting diffraction attributes from migrated profiles, which includes the following steps: constructing the seismic wavefield using the demigration method, and then establishing the angular mapping relationship between migrated profiles and seismic wavefields, and calculating the reflection dips in seismic profiles; suppressing reflected waves in the seismic wavefield using the reflection dips to separate the diffracted wavefield; constructing common image gathers (CIGs) based on the diffracted wavefield, calculating coherence using the polarity-included imaging condition, and generating the diffraction attribute volume. Numerical simulation results show that the proposed method can effectively separate complete diffraction wave information and suppress continuous strong reflection energy, and the obtained diffraction attributes have high accuracy in characterizing faults and rough interfaces. The application of this method to field data from a coal mining area in Shanxi Province verifies that the strong reflection information reflecting coal seam interface characteristics is effectively suppressed, while the diffracted waves carrying discontinuous information such as faults and collapse columns are highlighted. The extracted diffraction attributes can accurately characterize the morphological features of collapse columns and faults.

       

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