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Featured researches published by Suping Peng.


Geophysics | 2006

An exact solution of the conversion point for the converted waves from a dipping reflector with homogeneous (isotropic) overburden

Chunfang Yuan; Suping Peng; Chunming Li

For converted waves, stacking traces with a common reflection point, forming gathers, and performing dip moveout (DMO) all require accurately calculating the location of conversion points. Because of the asymmetrical paths of converted waves, even for horizontally layered media, the calculation of a conversion point for converted waves is complicated. Previous authors have obtained analytic solutions for the conversion point for converted waves in a horizontally layered media. We extend those results to the more general case of converted waves from a dipping reflector with a homogeneous, isotropic overburden. By using Snells law, we derive a quartic equation and solve it uniquely for the conversion point. The resultant analytic expression is a function of offset, compressional-, and shear-wave velocities; normal reflector depth; and dip angle at the conversion point. This solution can be readily used to generate accurate synthetic seismic responses for converted waves based on ray theory. It also can be ...


Archive | 2017

Improvement on AVO Equations in VTI Media

Xiaoting Li; Hongwei Wang; Suping Peng; Wenfeng Du; Yingchuan Sun

In weakly anisotropic VTI media, it is assumed that the ray directions of phase and group velocities are consistent, and P wave excites the horizontal interface, we take into account the equations between the anisotropic angle and the isotropic angle with the same horizontal slowness, and re-deduce AVO equations for VTI media again. The new equation shows that it has no effect on AVO equation for P wave, but improves AVO equation for SV wave.


Journal of Geophysics and Engineering | 2016

Seismic small-scale discontinuity sparsity-constraint inversion method using a penalty decomposition algorithm

Jingtao Zhao; Suping Peng; Wenfeng Du

We consider sparsity-constraint inversion method for detecting seismic small-scale discontinuities, such as edges, faults and cavities, which provide rich information about petroleum reservoirs. However, where there is karstification and interference caused by macro-scale fault systems, these seismic small-scale discontinuities are hard to identify when using currently available discontinuity-detection methods. In the subsurface, these small-scale discontinuities are separately and sparsely distributed and their seismic responses occupy a very small part of seismic image. Considering these sparsity and non-smooth features, we propose an effective L 2-L 0 norm model for improvement of their resolution. First, we apply a low-order plane-wave destruction method to eliminate macro-scale smooth events. Then, based the residual data, we use a nonlinear structure-enhancing filter to build a L 2-L 0 norm model. In searching for its solution, an efficient and fast convergent penalty decomposition method is employed. The proposed method can achieve a significant improvement in enhancing seismic small-scale discontinuities. Numerical experiment and field data application demonstrate the effectiveness and feasibility of the proposed method in studying the relevant geology of these reservoirs.


7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology | 2016

The Trust Region Method for Time-Domain Full Waveform Inversion

Suping Peng; Peng Lin; Wenfeng Du; Yongxu Lu

Full waveform inversion is an effective inversion method to obtain high resolution and precision seismic imaging. The problem of full waveform inversion aims to solve the optimization problem of the misfit between the synthetic and recorded data. There are a lot of conventional local optimization methods, such as the methods depending on gradient and Hessian matrix, to solve the ill-posed nonlinear problem. Gradient and Hessian matrix information plays an important role in inversion algorithms. However, these methods always lead to local minimum so that the result of inversion could not be accepted. To confront the problem, we propose a new approach called the trust region method, to solve the unconstrained optimization problem. Strong convergence properties are the key for trust region method, and the new step is limited to the neighbourhood of the current step. The gradient and Hessian matrix information has an effect on inversion algorithms. To test the capability of this method, we apply it to the model of salt domes and synthetic Marmousi from the time-domain acoustic full waveform inversion point of view for reconstructing velocity model. Inversion results show that the model inverted by our method fits the true model well and the precision is high. Hence, the trust region method is a promising method for the problem of full waveform inversion.


Geophysics | 2016

Diffraction imaging method by Mahalanobis-based amplitude damping

Jingtao Zhao; Suping Peng; Wenfeng Du; Xiaoting Li


Geophysics | 2017

Azimuthal AVO for tilted TI medium

Hongwei Wang; Suping Peng; Wenfeng Du


Journal of Applied Geophysics | 2016

Rayleigh wave inversion using heat-bath simulated annealing algorithm

Yongxu Lu; Suping Peng; Wenfeng Du; Xiaoyang Zhang; Zhenyuan Ma; Peng Lin


Archive | 2017

METHOD, APPARATUS AND DEVICE OF FRACTURE AVO INVERSION FOR FRACTURED MEDIUM

Xiaoqin Cui; Suping Peng; Wenfeng Du


Seg Technical Program Expanded Abstracts | 2018

Least-square imaging of diffractions with a multiparameter sparsity constraint

Jingtao Zhao; Suping Peng; Xiaoqin Cui; Wenfeng Du


Journal of Geophysics and Engineering | 2018

Polarity-preserved diffraction extracting method using modified apex-shifted Radon transform and double-branch Radon transform

Chuangjian Li; Suping Peng; Jingtao Zhao; Xiaoqin Cui; Wenfeng Du; Sandugash Satibekova

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Wenfeng Du

China University of Mining and Technology

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Jingtao Zhao

China University of Mining and Technology

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Peng Lin

China University of Mining and Technology

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Xiaoqin Cui

China University of Mining and Technology

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Yongxu Lu

China University of Mining and Technology

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Hongwei Wang

China University of Mining and Technology

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Xiaoting Li

China University of Mining and Technology

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Chunfang Yuan

China University of Mining and Technology

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Chunming Li

Heilongjiang University

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Jiulong Cheng

China University of Mining and Technology

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