An improved lossless group compression algorithm for seismic data in SEG-Y and MiniSEED file formats
An improved lossless group compression algorithm is proposed for decreasing the size of SEG-Y files to relieve the enormous burden associated with the transmission and storage of large amounts of seismic exploration data. Because each data point is represented by 4 bytes in SEG-Y files, the file is...
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| Published in: | Computers & geosciences Vol. 100; pp. 41 - 45 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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01.03.2017
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| ISSN: | 0098-3004, 1873-7803 |
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| Abstract | An improved lossless group compression algorithm is proposed for decreasing the size of SEG-Y files to relieve the enormous burden associated with the transmission and storage of large amounts of seismic exploration data. Because each data point is represented by 4 bytes in SEG-Y files, the file is broken down into 4 subgroups, and the Gini coefficient is employed to analyze the distribution of the overall data and each of the 4 data subgroups within the range [0,255]. The results show that each subgroup comprises characteristic frequency distributions suited to distinct compression algorithms. Therefore, the data of each subgroup was compressed using its best suited algorithm. After comparing the compression ratios obtained for each data subgroup using different algorithms, the Lempel-Ziv-Markov chain algorithm (LZMA) was selected for the compression of the first two subgroups and the Deflate algorithm for the latter two subgroups. The compression ratios and decompression times obtained with the improved algorithm were compared with those obtained with commonly employed compression algorithms for SEG-Y files with different sizes. The experimental results show that the improved algorithm provides a compression ratio of 75–80%, which is more effective than compression algorithms presently applied to SEG-Y files. In addition, the proposed algorithm is applied to the miniSEED format used in natural earthquake monitoring, and the results compared with those obtained using the Steim2 compression algorithm, the results again show that the proposed algorithm provides better data compression.
•An algorithm was proposed to compress losslessly the SEG-Y and miniSEED Files.•It describes the distribution of SEG-Y and miniSEED files using Gini coefficient.•Different data sub-groups should use different compression algorithms.•The improved algorithm can achieve a better compression ratio of 75–80%.•It provides a better compression ratio than the Steim2 to miniSEED Files. |
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| AbstractList | An improved lossless group compression algorithm is proposed for decreasing the size of SEG-Y files to relieve the enormous burden associated with the transmission and storage of large amounts of seismic exploration data. Because each data point is represented by 4 bytes in SEG-Y files, the file is broken down into 4 subgroups, and the Gini coefficient is employed to analyze the distribution of the overall data and each of the 4 data subgroups within the range [0,255]. The results show that each subgroup comprises characteristic frequency distributions suited to distinct compression algorithms. Therefore, the data of each subgroup was compressed using its best suited algorithm. After comparing the compression ratios obtained for each data subgroup using different algorithms, the Lempel-Ziv-Markov chain algorithm (LZMA) was selected for the compression of the first two subgroups and the Deflate algorithm for the latter two subgroups. The compression ratios and decompression times obtained with the improved algorithm were compared with those obtained with commonly employed compression algorithms for SEG-Y files with different sizes. The experimental results show that the improved algorithm provides a compression ratio of 75–80%, which is more effective than compression algorithms presently applied to SEG-Y files. In addition, the proposed algorithm is applied to the miniSEED format used in natural earthquake monitoring, and the results compared with those obtained using the Steim2 compression algorithm, the results again show that the proposed algorithm provides better data compression. An improved lossless group compression algorithm is proposed for decreasing the size of SEG-Y files to relieve the enormous burden associated with the transmission and storage of large amounts of seismic exploration data. Because each data point is represented by 4 bytes in SEG-Y files, the file is broken down into 4 subgroups, and the Gini coefficient is employed to analyze the distribution of the overall data and each of the 4 data subgroups within the range [0,255]. The results show that each subgroup comprises characteristic frequency distributions suited to distinct compression algorithms. Therefore, the data of each subgroup was compressed using its best suited algorithm. After comparing the compression ratios obtained for each data subgroup using different algorithms, the Lempel-Ziv-Markov chain algorithm (LZMA) was selected for the compression of the first two subgroups and the Deflate algorithm for the latter two subgroups. The compression ratios and decompression times obtained with the improved algorithm were compared with those obtained with commonly employed compression algorithms for SEG-Y files with different sizes. The experimental results show that the improved algorithm provides a compression ratio of 75–80%, which is more effective than compression algorithms presently applied to SEG-Y files. In addition, the proposed algorithm is applied to the miniSEED format used in natural earthquake monitoring, and the results compared with those obtained using the Steim2 compression algorithm, the results again show that the proposed algorithm provides better data compression. •An algorithm was proposed to compress losslessly the SEG-Y and miniSEED Files.•It describes the distribution of SEG-Y and miniSEED files using Gini coefficient.•Different data sub-groups should use different compression algorithms.•The improved algorithm can achieve a better compression ratio of 75–80%.•It provides a better compression ratio than the Steim2 to miniSEED Files. |
| Author | Courtois, Jérémie Li, Huailiang Henderson, Mark Julian Tuo, Xianguo Shen, Tong Yan, Minhao |
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| References | Ziv, Lempel (bib25) 1978; 24 Augliera, Massa, D'Alema (bib1) 2011; 54 Harnik, D.. et al. 2014. A fast implementation of deflate. Data Compression Conference (DCC). Welch (bib21) 1984; 6 Rubin, Wakin, Camp (bib18) 2016; 9 Huffman D., 1952. A method for the construction of minimum redundancy codes, in: Proceedings of the IRE, 40, 9, pp. 1098–1101. Lindstrom, Chen, Lee (bib10) 2016; 93 Hanchuang (bib4) 2015 Leavline, Singh (bib9) 2013; 5 Jianhua (bib8) 2007; 03 Shannon, C.E., 2001. A Mathematical Theory of Communication. ACM SIGMOBILE Mobile Computing and Communications Review, 5, 1, pp. 3–55. Rey, Smith (bib15) 2013; 6 Nuti, Ranasinghe, Murugiah (bib14) 2015; 65 Robinson, Cherry (bib17) 1967; 55 CanabravaR., 2004. A Toolbox for Reading SEED and miniSEED and Writing miniSEED. Norwegian National Seismic Network. Technical Report. Mariotti, Utheim (bib11) 2006 Crochemore, Grossi, Kärkkäinen (bib3) 2015; 32 Nickersona, Juddb, Mayerc (bib13) 1999; 25 Ringler, Hagerty, Holland (bib16) 2015; 76 Ziv, Lempel (bib24) 1977; 23 Mielikainen, Huang (bib12) 2012; 9 Hoque, Clarke (bib6) 2015; 1 Witten, Neal, Cleary (bib22) 1987; 30 Szecówka, Przemyslaw M., Mandrysz, T., 2009. Towards hardware implementation of bzip2 data compression algorithm. Mixed Design of Integrated Circuits & Systems, MIXDES'09, MIXDES, in: Proceedings of the IEEE 16th International Conference. Xiuwei (bib23) 2014 Crochemore (10.1016/j.cageo.2016.11.017_bib3) 2015; 32 Nuti (10.1016/j.cageo.2016.11.017_bib14) 2015; 65 10.1016/j.cageo.2016.11.017_bib19 Ziv (10.1016/j.cageo.2016.11.017_bib25) 1978; 24 Lindstrom (10.1016/j.cageo.2016.11.017_bib10) 2016; 93 Hoque (10.1016/j.cageo.2016.11.017_bib6) 2015; 1 Ziv (10.1016/j.cageo.2016.11.017_bib24) 1977; 23 10.1016/j.cageo.2016.11.017_bib2 Nickersona (10.1016/j.cageo.2016.11.017_bib13) 1999; 25 Witten (10.1016/j.cageo.2016.11.017_bib22) 1987; 30 Rubin (10.1016/j.cageo.2016.11.017_bib18) 2016; 9 Leavline (10.1016/j.cageo.2016.11.017_bib9) 2013; 5 Jianhua (10.1016/j.cageo.2016.11.017_bib8) 2007; 03 Hanchuang (10.1016/j.cageo.2016.11.017_bib4) 2015 Augliera (10.1016/j.cageo.2016.11.017_bib1) 2011; 54 Xiuwei (10.1016/j.cageo.2016.11.017_bib23) 2014 Welch (10.1016/j.cageo.2016.11.017_bib21) 1984; 6 10.1016/j.cageo.2016.11.017_bib5 10.1016/j.cageo.2016.11.017_bib7 Ringler (10.1016/j.cageo.2016.11.017_bib16) 2015; 76 10.1016/j.cageo.2016.11.017_bib20 Mielikainen (10.1016/j.cageo.2016.11.017_bib12) 2012; 9 Robinson (10.1016/j.cageo.2016.11.017_bib17) 1967; 55 Mariotti (10.1016/j.cageo.2016.11.017_bib11) 2006 Rey (10.1016/j.cageo.2016.11.017_bib15) 2013; 6 |
| References_xml | – volume: 32 start-page: 44 year: 2015 end-page: 52 ident: bib3 article-title: Computing the Burrows–Wheeler transform in place and in small space publication-title: J. Discret. Algorithms – volume: 03 start-page: 275 year: 2007 end-page: 278 ident: bib8 article-title: A convenient method to calculate Gini coefficient publication-title: J. Shanxi Agric. Univ. – reference: Harnik, D.. et al. 2014. A fast implementation of deflate. Data Compression Conference (DCC). – volume: 30 start-page: 520 year: 1987 end-page: 540 ident: bib22 article-title: Arithmetic coding for data compression publication-title: Commun. ACM – volume: 24 start-page: 530 year: 1978 end-page: 536 ident: bib25 article-title: Compression of individual sequences via variable-rate coding publication-title: IEEE Trans. Inf. Theory – volume: 65 start-page: 1711 year: 2015 end-page: 1712 ident: bib14 article-title: Association between journal citation distribution and impact factor: a novel application of the Gini coefficient publication-title: J. Am. Coll. Cardiol. – volume: 25 start-page: 179 year: 1999 end-page: 190 ident: bib13 article-title: Data structures for fast searching of SEG-Y seismic data publication-title: Comput. Geosci. – volume: 9 start-page: 1118 year: 2012 end-page: 1121 ident: bib12 article-title: Lossless compression of hyperspectral images using clustered linear prediction with adaptive prediction length publication-title: Geosci. Remote Sens. Lett. IEEE – volume: 54 start-page: 23 year: 2011 end-page: 24 ident: bib1 article-title: RAIS: a real time strong-motion network in northern Italy publication-title: Ann. Geophys. – year: 2015 ident: bib4 article-title: Theoretical Research on Methods of High Efficient Seismic Data Acquisition – year: 2014 ident: bib23 article-title: The Application and Research of BOOM BOX in Seismic Exploration – volume: 1 start-page: 39 year: 2015 end-page: 58 ident: bib6 article-title: On variance estimation for a Gini coefficient estimator obtained from complex survey data publication-title: Commun. Stat.: Case Stud. Data Anal. Appl. – reference: Szecówka, Przemyslaw M., Mandrysz, T., 2009. Towards hardware implementation of bzip2 data compression algorithm. Mixed Design of Integrated Circuits & Systems, MIXDES'09, MIXDES, in: Proceedings of the IEEE 16th International Conference. – volume: 23 start-page: 337 year: 1977 end-page: 343 ident: bib24 article-title: A universal algorithm for sequential data compression publication-title: IEEE Trans. Inf. Theory – reference: CanabravaR., 2004. A Toolbox for Reading SEED and miniSEED and Writing miniSEED. Norwegian National Seismic Network. Technical Report. – reference: Shannon, C.E., 2001. A Mathematical Theory of Communication. ACM SIGMOBILE Mobile Computing and Communications Review, 5, 1, pp. 3–55. – reference: Huffman D., 1952. A method for the construction of minimum redundancy codes, in: Proceedings of the IRE, 40, 9, pp. 1098–1101. – year: 2006 ident: bib11 article-title: A White Paper about miniSEED for LISS and data compression using Steim1 and Steim2 – volume: 55 start-page: 356 year: 1967 end-page: 364 ident: bib17 article-title: Results of a prototype television bandwidth compression scheme publication-title: Proc. IEEE – volume: 76 start-page: 96 year: 2015 end-page: 111 ident: bib16 article-title: The data quality analyzer: a quality control program for seismic data publication-title: Comput. Geosci. – volume: 5 start-page: 51 year: 2013 end-page: 56 ident: bib9 article-title: Hardware implementation of LZMA data compression algorithm International publication-title: J. Appl. Inf. Syst. – volume: 93 start-page: 45 year: 2016 end-page: 54 ident: bib10 article-title: Reducing disk storage of full-3D seismic waveform tomography (F3DT) through lossy online compression publication-title: Comput. Geosci. – volume: 9 start-page: 236 year: 2016 end-page: 252 ident: bib18 article-title: Lossy compression for wireless seismic data acquisition publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – volume: 6 start-page: 55 year: 2013 end-page: 70 ident: bib15 article-title: A spatial decomposition of the Gini coefficient publication-title: Lett. Spat. Resour. Sci. – volume: 6 start-page: 8 year: 1984 end-page: 19 ident: bib21 article-title: A technique for high-performance data compression publication-title: Computer – year: 2015 ident: 10.1016/j.cageo.2016.11.017_bib4 – volume: 9 start-page: 236 issue: 1 year: 2016 ident: 10.1016/j.cageo.2016.11.017_bib18 article-title: Lossy compression for wireless seismic data acquisition publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2015.2459675 – volume: 24 start-page: 530 issue: 5 year: 1978 ident: 10.1016/j.cageo.2016.11.017_bib25 article-title: Compression of individual sequences via variable-rate coding publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.1978.1055934 – volume: 1 start-page: 39 issue: 1 year: 2015 ident: 10.1016/j.cageo.2016.11.017_bib6 article-title: On variance estimation for a Gini coefficient estimator obtained from complex survey data publication-title: Commun. Stat.: Case Stud. Data Anal. Appl. – ident: 10.1016/j.cageo.2016.11.017_bib20 – volume: 30 start-page: 520 issue: 6 year: 1987 ident: 10.1016/j.cageo.2016.11.017_bib22 article-title: Arithmetic coding for data compression publication-title: Commun. ACM doi: 10.1145/214762.214771 – volume: 65 start-page: 1711 issue: 16 year: 2015 ident: 10.1016/j.cageo.2016.11.017_bib14 article-title: Association between journal citation distribution and impact factor: a novel application of the Gini coefficient publication-title: J. Am. Coll. Cardiol. doi: 10.1016/j.jacc.2014.12.071 – volume: 25 start-page: 179 issue: 2 year: 1999 ident: 10.1016/j.cageo.2016.11.017_bib13 article-title: Data structures for fast searching of SEG-Y seismic data publication-title: Comput. Geosci. doi: 10.1016/S0098-3004(98)00111-3 – volume: 76 start-page: 96 year: 2015 ident: 10.1016/j.cageo.2016.11.017_bib16 article-title: The data quality analyzer: a quality control program for seismic data publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2014.12.006 – year: 2006 ident: 10.1016/j.cageo.2016.11.017_bib11 – volume: 54 start-page: 23 issue: 1 year: 2011 ident: 10.1016/j.cageo.2016.11.017_bib1 article-title: RAIS: a real time strong-motion network in northern Italy publication-title: Ann. Geophys. – ident: 10.1016/j.cageo.2016.11.017_bib2 – ident: 10.1016/j.cageo.2016.11.017_bib5 doi: 10.1109/DCC.2014.66 – year: 2014 ident: 10.1016/j.cageo.2016.11.017_bib23 – ident: 10.1016/j.cageo.2016.11.017_bib7 doi: 10.1109/JRPROC.1952.273898 – volume: 03 start-page: 275 year: 2007 ident: 10.1016/j.cageo.2016.11.017_bib8 article-title: A convenient method to calculate Gini coefficient publication-title: J. Shanxi Agric. Univ. – volume: 9 start-page: 1118 issue: 6 year: 2012 ident: 10.1016/j.cageo.2016.11.017_bib12 article-title: Lossless compression of hyperspectral images using clustered linear prediction with adaptive prediction length publication-title: Geosci. Remote Sens. Lett. IEEE doi: 10.1109/LGRS.2012.2191531 – volume: 55 start-page: 356 issue: 3 year: 1967 ident: 10.1016/j.cageo.2016.11.017_bib17 article-title: Results of a prototype television bandwidth compression scheme publication-title: Proc. IEEE doi: 10.1109/PROC.1967.5493 – volume: 5 start-page: 51 issue: 4 year: 2013 ident: 10.1016/j.cageo.2016.11.017_bib9 article-title: Hardware implementation of LZMA data compression algorithm International publication-title: J. Appl. Inf. Syst. – volume: 93 start-page: 45 year: 2016 ident: 10.1016/j.cageo.2016.11.017_bib10 article-title: Reducing disk storage of full-3D seismic waveform tomography (F3DT) through lossy online compression publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2016.04.009 – volume: 6 start-page: 55 issue: 2 year: 2013 ident: 10.1016/j.cageo.2016.11.017_bib15 article-title: A spatial decomposition of the Gini coefficient publication-title: Lett. Spat. Resour. Sci. doi: 10.1007/s12076-012-0086-z – volume: 23 start-page: 337 issue: 3 year: 1977 ident: 10.1016/j.cageo.2016.11.017_bib24 article-title: A universal algorithm for sequential data compression publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.1977.1055714 – volume: 32 start-page: 44 year: 2015 ident: 10.1016/j.cageo.2016.11.017_bib3 article-title: Computing the Burrows–Wheeler transform in place and in small space publication-title: J. Discret. Algorithms doi: 10.1016/j.jda.2015.01.004 – volume: 6 start-page: 8 issue: 17 year: 1984 ident: 10.1016/j.cageo.2016.11.017_bib21 article-title: A technique for high-performance data compression publication-title: Computer doi: 10.1109/MC.1984.1659158 – ident: 10.1016/j.cageo.2016.11.017_bib19 doi: 10.1145/584091.584093 |
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| Title | An improved lossless group compression algorithm for seismic data in SEG-Y and MiniSEED file formats |
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