Data rescue to extend the value of vintage seismic data: The OGS-SNAP experience

Diviacco, Paolo; Wardell, N.; Forlin, Edy; Sauli, Chiara; Burcă, Mihai; Busato, Alessandro; Centonze, J.; Pelos, Claudio

doi:10.1016/j.grj.2015.01.006

Cited by 19 publications

(23 citation statements)

References 4 publications

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“…Differently to the case described in Diviacco et al . (), here no data in SEG‐Y format and only very little information or documentation were available, which means that everything was reconstructed only from paper or PDF sections and maps.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the value of public vintage seismic data in the Italian offshore

Diviacco

Carlino

Busato

2018

Geoscience Data Journal

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Vintage geophysical data represent a huge heritage for the whole scientific community (Sopher, 2018; Schaming et al., 2017; Diviacco et al., 2015) because, despite the antiquated acquisition methods and processing tools, they are generally characterized by high penetration and wide regional extension. Nowadays such large‐scale projects are in fact very difficult to take place, considering environmental, geopolitical, and funding issues. In addition, reprocessing vintage seismic profiles using up‐to‐date software and tools, it is now possible to further increase their original signal‐to‐noise ratio. Italian offshore areas have been widely investigated by a dense network of multichannel seismic reflection profiles, acquired by the Italian Authorities in the years 1960, 1970, and 1980 of the last century in the perspective of mineral prospecting. This asset of data has been recovered, reprocessed, and made accessible within a demanding project undertaken by Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS). The present work aims at describing the data recovery and reprocessing methodologies applied to enhance the quality of these vintage multichannel‐seismic reflection profiles, and at detailing how to access this huge dataset, that have been made compliant with the FAIR principles (Findable, Accessible, Interoperable, Reusable) and available through the OGS‐SNAP data management web portal. Open Practices This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.6092/SNAP.cbbba251c17b55c737836768c8737589. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.

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Section: Introductionmentioning

confidence: 99%

Enhancing the value of public vintage seismic data in the Italian offshore

Diviacco

Carlino

Busato

2018

Geoscience Data Journal

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“…However, despite their value, data within these historical archives are under threat of being lost (Diviacco et al 2015;Griffin 2015). Large amounts of vintage data are stored on outdated media, such as magnetic tapes.…”

Section: Introductionmentioning

confidence: 99%

“…This makes the task of transcribing data from these old media expensive and hence presents those wishing to rescue their archives with a significant financial hurdle. Another important issue is the degradation of these storage media with time, for example Bsticky shed syndrome^can occur where the tapes becomes sticky due to the humidity in the atmosphere, and hence are no longer readable (Ross and Gow 1999;Diviacco et al 2015). Similarly paper sheets with images of stacked sections can become delicate and faded, making them difficult to scan.…”

Section: Introductionmentioning

confidence: 99%

“…The waveform of each trace is then extracted and the stacked seismic data are output as a SEG-Y file. Several other studies have presented methods for performing this task (Blake and Hewlett 1993;Miles et al 2007;Diviacco et al 2015;Owen et al 2015 etc.). This study builds on previous work, but differs in the following ways: 1) unlike previous studies, a detailed description of the method for the detection of timelines and trace baselines is given.…”

Section: Introductionmentioning

confidence: 99%

“…the sections of the trace represented only by a line are not included in the trace estimation process. Cooke and Bulat (2012) and Diviacco et al (2015) both present case studies of vectorization projects where the SEISTRANS software was used. It should also be noted that a description of the process used to detect the baselines and timelines on the scanned image is not published as part of any of the aforementioned scripts or studies.…”

Section: Introductionmentioning

confidence: 99%

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Converting scanned images of seismic reflection data into SEG-Y format

Sopher

2017

Earth Sci Inform

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Archives across the world contain vast amounts of old or Bvintage^seismic reflection data, which are largely inaccessible for geo-scientific research, due to the out-dated media on which they are stored. Despite the age of these data, they often have great potential to be of use in modern day research. It is often the case that seismic reflection data within these archives are only available as a processed stacked section, printed on paper or film. In this study, a method for the conversion (vectorization) of scanned images of stacked reflection seismic data to standard SEG-Y format is presented. The method addresses data displayed with a line denoting the waveform, where areas on one side of the baseline are shaded (i.e. wiggle trace, variable fill). The method provides an improvement on other published methods utilized within currently available academic software. Unlike previous studies, the method used to detect trace baselines and to detect and remove timelines on the seismic image is described in detail. Furthermore, a quantitative analysis of the performance of the method is presented, showing that an average trace-to-trace correlation coefficient of between 0.8 and 0.95 can be achieved for typical plotting styles. Finally, a case study where the method is applied to vectorize over 1700 km of land seismic data from the island of Gotland (Sweden) is presented.

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