Development of a Python Package for Interactive Seismic Data Processing Classes

doi:10.12972/ksmer.2015.52.4.414

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2015 Vol.52, Issue 4 Preview Page Next Page

Technical Report

Development of a Python Package for Interactive Seismic Data Processing Classes 대화식 탄성파 자료 처리 수업을 위한 파이썬 패키지 개발: 하완수
Wansoo Ha

31 August 2015. pp. 414-421

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Abstract

This paper presents a 2D data processing package for undergraduate seismic exploration classes. Onecan process seismic data interactively on IPython Notebook using this Python processing package. There is nocommercial license problem, since this package is an open source software. Teachers can use this package asan alternative to commercial data processing packages. Students can practice visualization of seismic data,preprocessing, sorting, gain control, frequency filtering, deconvolution, velocity analysis, dynamic correction, staticcorrection, stacking, and migration using this package.

Keywords

Python

IPython notebook

Seismic data processing

본 연구에서는 대학 학부 탄성파 탐사 수업에서 사용할 수 있는 2차원 자료 처리 패키지를 개발하였다.본 교육용 패키지는 파이썬 언어로 개발하였으므로 IPython Notebook을 이용하여 대화식으로 자료를 처리할수 있고, 오픈소스이므로 라이센스 문제 없이 간편하게 사용할 수 있다. 교수자는 상용 자료 처리 프로그램들의대안으로 본 패키지를 활용할 수 있다. 학생들은 본 패키지를 이용하여 탄성파 자료의 시각화, 전처리, 정렬,이득 조절, 주파수 필터링, 곱풀기, 속도 분석, 동적 보정, 정적 보정, 겹쌓기 및 참반사 보정 과정을 실습할수 있다.

키워드

파이썬

IPython Notebook

탄성파 자료 처리

References

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Yilmaz, O., 2001, Seismic data analysis, 2nd ed., Society of Exploration Geophysicists, p. 788.

Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
Journal Title(Ko) :한국자원공학회지
Volume : 52
No :4
Pages :414-421
DOI :https://doi.org/10.12972/ksmer.2015.52.4.414

[1] Anaconda, 2015.6.16., https://store.continuum.io/cshop/anaconda.

[2] Beazley, D.M., 2009, Python essential reference, 4th ed., Developer’s Library, pp. 5-24.

[3] Butterworth, S., 1930, “On the theory of filter amplifiers”, Experimental Wireless and the Wireless Engineer, Vol. 7, pp. 536-541.

[4] Canopy, 2015.6.16., https://www.enthought.com/products/canopy.

[5] CGG, 2015.7.16., http://www.cgg.com/default.aspx?cid=4-5820-1925.

[6] Clapp, R.G., Prucha, M.L., Sava, P., Dellinger, J. and Biondi, B., 2004, SEP Manual, Stanford Exploration Project, p. 7.

[7] Globe Claritas, 2015.6.16., http://www.globeclaritas.com.

[8] Ha, W., 2014, “Productive small-scale data processing using Python”, J. Korean Soc. Miner. Energy Resour. Eng., Vol. 51, No. 5, pp. 705-714.

[9] Hileman, J.A., Embree, P. and Pflueger, J.C., 1968, “Automated static corrections”, Geophysical Prospecting, Vol. 16, No. 3, pp. 326-358.

[10] IPython, 2015.6.16., http://ipython.org/notebook.html.

[11] Ji, J. and Choi Y.G., 2010, “3D seismic data processing methodology using public domain software system”, Jigu-Mulli-wa-Mulli-Tamsa, Vol. 13, No. 2, pp. 159-168.

[12] Jupyter, 2015.6.16., http://jupyter.org.

[13] Landmark software, 2015.6.16., https://www.landmarksoftware. com/Pages/SeisSpaceProMAX.aspx.

[14] Latex, 2015.6.16., http://www.latex-project.org.

[15] Madagascar, 2015.6.16., http://www.ahay.org.

[16] Markdown, 2015.6.16., http://daringfireball.net/projects/markdown.

[17] Matlab, 2015.6.16., http://www.mathworks.co.kr/products/matlab.

[18] Mousa, W.A. and Al-Shuhail, A.A., 2011, Processing of seismic reflection data using MATLAB, Morgan & Claypool Publishers, pp. 1-71.

[19] Paradigm, 2015.6.16., http://www.pdgm.com/solutions/seismic- processing-and-imaging.

[20] Sage, 2015.6.16., https://cloud.sagemath.com.

[21] Schlumberger software, 2015.6.16., http://www.software.slb. com/products/platform/Pages/omega.aspx.

[22] SeismicLab, 2015.6.16., http://seismic-lab.physics.ualberta.ca.

[23] Sheen, D.-H., Ji, J. and Lee, D.-S., 2003, “Development of a PC-based 3-D seismic data processing system for the underground investigation”, Journal of the Korean Society for Geosystem Engineering, Vol. 40, No. 1, pp. 48-57.

[24] Stockwell, J.W., 1999, “The CWP/SU: Seismic Un*x package”, Computers & Geosciences, Vol. 25, pp. 415-419.

[25] Stolt, R.H., 1978, “Migration by Fourier transform”, Geophysics, Vol. 43, 23-48.

[26] Taner, M.T., Koehler, F. and Alhilali, K.A., 1974, “Estimation and correction of near-surface time anomalies”, Geophysics, Vol. 39, No. 4, pp. 441-463.

[27] Versteeg, R., 1994, “The Marmousi experience: velocity model determination on a synthetic complex data set”, Leading Edge, Vol. 13, pp. 927-936.

[28] Wakari, 2015.6.16., https://www.wakari.io.

[29] Yilmaz, O., 2001, Seismic data analysis, 2nd ed., Society of Exploration Geophysicists, p. 788.

Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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