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1

An efficient low-frequency artifact suppression method at excitation time for excitation amplitude imaging condition

Wang Rui, Wang Deli, Hu Bin, Zhang Weifeng, Zhou Jinju, Li Bowen

Acta Geophysica

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2023

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Vol. 71, no. 3

1225--1240

EN

The excitation amplitude imaging condition (EAIC) is a high-resolution, computationally efficient, and low-storage imaging condition in reverse time migration (RTM). However, when there are strong reflection interfaces in the velocity model, they will produce low-frequency artifacts, which seriously contaminate the RTM image. The artifacts can be removed by the wavefield decomposition algorithm, but this process always performed by analytic time wavefield extrapolation, which needs extra wavefield extrapolation. Furthermore, an extra source wavefield extrapolation is required to determine the excitation time before the migration. Thus, the additional wavefield extrapolations can seriously damage the computationally efficient advantage of the EAIC. By taking advantage of the directivity and low storage of excitation amplitude, we present a low-frequency artifact suppression method with no extra wavefield extrapolation. Poynting vector, reference traveltime and minimum amplitude threshold are combined to constraint the excitation amplitude updating process, and it makes the excitation amplitude more consistent with the definition of excitation criterion. We can directly obtain a noise-free excitation amplitude without the source wavefield decomposition. Instead of the analytic time wavefield extrapolation, the time-bin technique and the windowed Hilbert transform are combined to achieve the receiver wavefield decomposition only at the excitation time. The numerical results show that our method can effectively suppress the low-frequency artifacts in the image with no extra wavefield extrapolation.

2

Coherent noise attenuation for passive seismic data based on iterative two dimensional model shrinkage

Hu Bin, Jia Zhuo, Zhang Ling

Acta Geophysica

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2021

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Vol. 69, no. 3

773--782

EN

Passive seismic source imaging can be utilized to recover geophysical information from subsurface ambient noise. Compared with conventional active seismic exploration, passive seismic source imaging is cost-efective and environmentally friendly. However, passive data acquisition cannot easily satisfy the theoretical condition, leading to noised virtual-shot gathers. Furthermore, coherent noise limits the application of passive source data. Although image quality improvement techniques for passive source data have recently attracted considerable interest, the denoising problem for virtual-shot gathers is seldom considered. In this study, we propose an iterative denoising approach for passive seismic data. The criterion used to extract useful signals is the diference between the wavefeld similarity of useful events and the coherent noise in various gathers, i.e., the common shot gather and common receiver gather. We adopted local similarity to measure the similarity level and extract major useful events. However, the close local similarity between weak events and coherent noise may cause signal leakages and singular noise residuals. We incorporated an iterative two-dimensional model shrinkage algorithm into the denoising process to suppress the singular noise residual and highlight useful events. The proposed approach can overcome the limits of strong coherent noise in virtual-shot gathers, which can extend the choice range for data processing. Synthetic and feld examples demonstrate a promising coherent noise attenuation performance, illustrating the efectiveness and feasibility of the proposed method. The denoised migrated section exhibits a smaller depth error and higher quality

3

Yang Fan, Wang Deli, Hu Bin, Zhu Hongyu, Sun Jing

Acta Geophysica

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2021

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Vol. 69, no. 5

1679--1696

EN

Considering the 3D propagation characteristics of seismic waves, theoretically, 3D surface-related multiples elimination (3D SRME) can suppress multiples with high accuracy. However, 3D SRME has strict requirements for acquisition geometry, which makes it difficult to be implemented in practice. In the process of 3D SRME, the multiple contribution gather (MCG) is a collection of wavefields with different propagation paths. The accuracy of the multiple propagation paths in the MCGs can be directly characterized by the inclination of the wavefields, which can achieve the weighted superposition of the wavefields. The direct summation of the sparse MCGs in the crossline direction produces serious spatial aliasing, which can easily cause the contamination of primaries. Based on the kinematic characteristics of multiple propagation, MCGs can be considered as a set of hyperbolas with temporal and spatial characteristics. Then, the direct summation of the sparse MCGs can be transformed into a process of superposition along the hyperbolic integration paths. However, as the stable phase points of the events, the apexes of the hyperbola have different spatial distributions in complex geological structures. Such hyperbolic stacking paths are difficult to be controlled by conventional Radon transform or constrained inversion. In this paper, we modify the apex-shifted hyperbolic Radon transform (ASHRT) to implement the summation of crossline MCGs with variable stable phase points along the hyperbolic integration paths. Improved ASHRT uses local similarity to locate the position of stable phase points, which can improve the stability of the algorithm and the efficiency of the computation. The proposed method is demonstrated on a 3D synthetic data set, as well as on a 3D marine data set, effectively avoiding the spatial aliasing caused by sparse crossline MCGs and improving the accuracy of multiple suppression.

4

Particle Flow Code modeling of the mechanical behavior of layered rock under uniaxial compression

Yao Nan, Ye Yi-Cheng, Hu Bin, Wang Wei-Qi, Wang Qi-Hu

Archives of Mining Sciences

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2019

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Vol. 64, no. 1

181--196

EN

In this paper, the different mechanical behaviors of layered rocks with different bedding angles during uniaxial compression tests are studied. Numerical simulation models of layered rock are validated based on laboratory tests, and uniaxial compression tests are conducted by using Particle Flow Code (PFC). Using these simulations, the uniaxial compressive strength, failure patterns, development of micro-cracks, and displacement of meso particles are analyzed. When the bedding angle is similar to the failure angle, the macro failure planes develop directly along the beddings, the bedding behavior dictates the behavior of the layered rock, reducing the compressive strength.

PL

W pracy badano właściwości mechaniczne skał warstwowych zalegających pod różnym kątem uwarstwienia w warunkach ściskania jednoosiowego. Walidację modeli symulacyjnych skał warstwowych przeprowadzono w oparciu o wyniki badań laboratoryjnych, zaś testy ściskania jednoosiowego prowadzono z użyciem pakietu Particle Flow Code (PFC). W oparciu o badania symulacyjne, analizowano wytrzy-małość skał na ściskanie jednoosiowe, modele pękania, powstawanie mikropęknięć i przemieszczenia mezo- cząstek. W przypadku gdy kąt płaszczyzny uwarstwienia ma wartość przybliżoną do kąta pęknięcia, płaszczyzny pękania w skali makro pojawiają się wzdłuż spękań, a układ warstw skalnych determinuje ich wytrzymałość na ściskanie, powodując jej obniżenie.