4.6 Article

Suitability of Legacy Subsurface Data for Nascent Geoenergy Activities Onshore United Kingdom

Journal

FRONTIERS IN EARTH SCIENCE
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2021.629960

Keywords

data; geoenergy; public perception; geothermal; unceratinty; energy policy

Funding

  1. Natural and Environment Research Council (NERC) [NE/R017492/1, NE/R01745X/1, NE/R018146/1]
  2. Economic and Social Research Council (ESRC) [NE/R017492/1, NE/R01745X/1, NE/R018146/1]
  3. NERC [NE/R017492/1, bgs06004, NE/R01745X/1, NE/R018146/1] Funding Source: UKRI

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The decarbonization of energy systems to achieve net zero carbon emissions is likely to drive rapid development of carbon capture and storage, subsurface energy storage, and geothermal energy projects. Subsurface data, especially seismic reflection surveys and borehole data, are crucial for geoscientists and engineers to assess opportunities and risks. However, the potential bias in legacy data distribution should be taken into account when utilizing these data for decision-making.
The decarbonization of energy systems to achieve net zero carbon emissions will likely see the rapid development of carbon capture and storage, energy storage in the subsurface and geothermal energy projects. Subsurface data, in particular seismic reflection surveys and borehole data are vital for geoscientists and engineers to carry out comprehensive assessments of both the opportunities and risks for these developments. Their cost of acquisition means that such legacy data are commonly the only mechanism for site selection so biased data distribution must be accommodated. Here, legacy subsurface data from United Kingdom onshore hydrocarbon and coal exploration in the United Kingdom are collated and reviewed for their suitability for geoenergy activities. We provide a description of the spatial coverage and a chronology of the acquisition of key seismic reflection and borehole data, as well as examine data resolution and limitations. We discuss the implications of spatial variability in subsurface datasets and the associated subsurface uncertainty as this is vitally important to understanding the suitability of data for decision making. We examine societal aspects of data uncertainty and discuss that when the same data are used to communicate subsurface uncertainty and risk, the source of the data should also be considered, especially where data are not easily publicly accessible. Understanding the provenance and quality criteria of data are vitally important for future geoenergy activities and public confidence in subsurface activities. Finally, we ask should there be minimum data collection criterion, such as resolution requirements, ahead of subsurface activities with potentially significant impacts to the environment, economy, and society?

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