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\begin{document}

\title{Archiving and Sharing Legacy Exploration Seismic Data: Opportunities and
Challenges}



\author[1]{David Lumley}%
\affil[1]{University of Texas at Dallas}%


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  \date{June 09, 2024}


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\begin{abstract}
Over the past 60+ years, an enormous amount of exploration geophysics
survey data has been collected around the globe, the majority of which
is high-quality 2D and 3D seismic data acquired by the petroleum energy
industry. Much of this `legacy' data still has significant commercial
value today and in the future, for hydrocarbon exploration, gas storage
(methane, helium, hydrogen\ldots{}), groundwater, minerals, CO2
sequestration, geothermal, and other purposes. However, there is likely
a subset of this exploration data that is of little further commercial
value, but may be of immense value to academic, government and industry
researchers, for example. This may include very long 2D seismic lines
recorded in frontier exploration areas which turned out to be
non-prospective; for example along convergent margin subduction zones or
major continental tectonic fault zones, which are absent of major
sedimentary basins. Shared access to this subset of legacy data would
provide an extremely useful opportunity and resource for academic
researchers and others, much as shared earthquake data via the IRIS
network has revolutionized our understanding of earthquakes, faults and
tectonics. There are several challenges that would need to be overcome
before such legacy data can be shared widely among the broader
geophysical community. Much of this legacy data is archived on old
magnetic tape media that is now physically degrading, making it
difficult to recover the data. The data would need to be collected,
recovered, QC'ed, archived with associated metadata, and stored on
modern digital data storage systems like the IRIS DMC, newer cloud-based
systems like OSDU, or other options. The data archival, maintenance and
support for a shared data distribution system would require a
sustainable business model and funding from all of the data
stakeholders, including government agencies like NSF, academic
universities, and industry users. Data use agreements would need to be
structured to ensure that data is used for non-commercial purposes as
appropriate, data users respect various legal terms and conditions, and
data is not shared freely among individual recipients without the
approval of the host data center.%
\end{abstract}%



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