The Linear and Non-Linear Background Energy Approach in The Seismic S/N Ratio Enhancement

I. S. Ronoatmojo, Y. Sutadiwiria, Muhammad Burhannudinnur, Dewi Syavitri
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Abstract

Side-swept is often understood as a side sweep of seismic waves that occurs on the surface. This understanding creates confusion when considering that side-swept is a part of linear function, in fact side-swept could be in the form of sweeping waves from the reflector on the side, so side-swept is a non-linear function like a signal. The implications for noise reduction with the t-p transformation becomes more complex. The elimination of side-swept in this study, relies on an application using an algorithm developed by Hampson (1987). Initial data conditioning preparation should be needed to clarify the difference between linear and non-linear functions through static refraction correction and velocity analysis, then coherent noise elimination (ground-droll) is carried out through f-k domain transformation, as well as random noise through f-x domain transformation. Side-swept is eliminated in t-p domain. Energy observation shows the remaining noise energy caused by coherent noise, random noise and non-linear side-swept functions. It proves that it is difficult to remove a non-linear function that overlaps the reflector signal. The best step is to minimize coherent (linear) noise and random noise by consistently using an amplitude correction indicator on the surface and performing velocity analysis especially for the suspected power spectrum as an effort to attenuate side-swept wave interference on the reflector signal. Finally, the signal restoration efforts due to non-linear noise attenuation, is carried out by surface consistent deconvolution
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提高地震信噪比的线性和非线性背景能量法
侧扫通常被理解为地震波在地表发生的侧扫。当认为侧扫是线性函数的一部分时,这种理解会造成混淆,实际上侧扫可能是来自侧面反射体的扫波形式,因此侧扫是一个类似信号的非线性函数。t-p 变换对降噪的影响变得更加复杂。在本研究中,侧扫的消除依赖于使用 Hampson(1987 年)开发的算法。首先需要进行数据调理准备,通过静态折射校正和速度分析来明确线性函数和非线性函数之间的差异,然后通过 f-k 域变换消除相干噪声(地滚),并通过 f-x 域变换消除随机噪声。在 t-p 域消除了侧扫。能量观测显示了由相干噪声、随机噪声和非线性侧扫函数引起的剩余噪声能量。这证明很难消除与反射信号重叠的非线性函数。最好的办法是通过在地表持续使用振幅校正指示器,最大限度地减少相干(线性)噪声和随机噪声,并特别针对可疑功率谱进行速度分析,努力减弱侧扫波对反射器信号的干扰。最后,由于非线性噪声衰减引起的信号恢复工作是通过表面一致解卷积来完成的。
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