Non-stationary deconvolution via stochastic simulated annealing optimization

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HEIDARI AKBAR; Zand Toktam; GHOLAMI ALI

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Paper Information

Journal: JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS Year:2018 | Volume:3 | Issue:2 Page(s): 155-166

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Information Journal Paper

Title

Non-stationary deconvolution via stochastic simulated annealing optimization

Author(s)

HEIDARI AKBAR | Zand Toktam | GHOLAMI ALI | Issue Writer Certificate

Keywords

Non-Stationary Deconvolution

Reflectivity

Seismic Quality Factor

Attenuation Filter

Simulated Annealing Algorithm

Abstract

Deconvolution is one of the significant steps in seismic signal processing for obtaining high resolution images of subsurface. In this paper, a new nonstationary deconvolution is developed to retrieve the impulse response of the earth and remove the earth attenuation effects from it via a simulated annealing (SA) optimization. The time location of each spike and the corresponding quality factor is estimated by the SA method and its amplitude is calculated using a least-squares method. All three parameters of the reflection coefficient, time lag, and the quality factor for each layer are estimated simultaneously. Available information from well-logs can also be incorporated as a priori information. Numerical examples from simulated and field seismic data show high performance of the proposed algorithm for estimating the Reflectivity structure and the model of the quality factor. Numerical examples confirm promising applicability of the new method for processing and interpretation of seismic data. The goal of Non-Stationary Deconvolution is to remove the effects of the source wavelet and the Attenuation Filter from the data to retrieve the earth impulse response with an enhanced temporal resolution.

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APA: Copy

HEIDARI, AKBAR, Zand, Toktam, & GHOLAMI, ALI. (2018). Non-stationary deconvolution via stochastic simulated annealing optimization. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 3(2 ), 155-166. SID. https://sid.ir/paper/268609/en

Vancouver: Copy

HEIDARI AKBAR, Zand Toktam, GHOLAMI ALI. Non-stationary deconvolution via stochastic simulated annealing optimization. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2018;3(2 ):155-166. Available from: https://sid.ir/paper/268609/en

IEEE: Copy

AKBAR HEIDARI, Toktam Zand, and ALI GHOLAMI, “Non-stationary deconvolution via stochastic simulated annealing optimization,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 3, no. 2 , pp. 155–166, 2018, [Online]. Available: https://sid.ir/paper/268609/en

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