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Improving the quality of prestack inversion by prestack data conditioning

机译:通过叠前数据调节提高叠前反演的质量

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Prestack seismic inversion techniques provide valuable information of rock properties, lithology, and fluid content for reservoir characterization. The confidence of inverted results increases with increasing incident angle of seismic gathers. The most accurate result of simultaneous prestack inversion of P-wave seismic data is P-impedance. S-impedance estimation becomes reliable with incident angles approaching 30°, whereas density evaluation becomes reliable with incident angles approaching 45°. As the offset increases, we often encounter "hockey sticks" and severe stretch at large offsets. Hockey sticks and stretch not only lower the seismic resolution but also hinder long offset prestack seismic inversion analysis. The inverted results are also affected by the random noises present in the prestack gathers. We developed a three-step workflow to perform data conditioning prior to simultaneous prestack inversion. First, we mitigated the hockey sticks by using an automatic nonhyperbolic velocity analysis. Then, we minimized the stretch at the far offset by using an antistretch workflow. Last, we improved the signal-to-noise ratio by applying prestack structure-oriented filtering. We evaluated our workflow by applying it to a prestack seismic volume acquired over the Fort Worth Basin, Texas, USA. The results inverted from the conditioned prestack gathers have higher resolution and better correlation coefficients with well logs when compared to those inverted from conventional time-migrated gathers.
机译:叠前地震反演技术可提供有关岩石特性,岩性和流体含量的有价值的信息,以用于储层表征。反演结果的可信度随着地震道集入射角的增加而增加。 P波地震数据同时叠前反演的最准确结果是P阻抗。当入射角接近30°时,S阻抗估计变得可靠,而当入射角接近45°时,密度评估变得可靠。随着偏移量的增加,我们经常会遇到“曲棍球杆”和大偏移量的严重拉伸现象。曲棍球和弹力杆不仅降低了地震分辨率,而且阻碍了长偏移叠前地震反演分析。倒置的结果也受到叠前聚集中随机噪声的影响。我们开发了一个分三步的工作流程,以便在同时进行叠前反转之前执行数据调节。首先,我们通过使用自动非双曲线速度分析减轻了曲棍球的杆感。然后,我们使用反拉伸工作流程将在远处的拉伸最小化。最后,我们通过应用面向堆栈的面向结构的滤波来提高信噪比。我们通过将其应用于美国得克萨斯州沃思堡盆地获得的叠前地震体积来评估工作流程。与从常规时间偏移道集反演的结果相比,从条件叠前道集反演的结果具有更高的分辨率和更好的测井相关系数。

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