TY - GEN
T1 - North Sea Core Database - Redefining Data Access and Analysis
AU - Yousef, Y. Abu
AU - Brettle, M.
PY - 2025/3/24
Y1 - 2025/3/24
N2 - Over the past 45 years, data collection from oil and gas operations have cost billions of pounds to acquire and digitize. While UK legislations aim to make this data is publicly available, it is often not accessible in a consistent format that is fit for purpose. To help solve this issue, The Sand Injectite Research Group at the University of Aberdeen developed an extensive, relational core database that integrates raw and interpreted data for over 3,000 cored wells, predominantly from the UKCS. The database incorporates over 800,000 core analysis plugs broken down to a stratigraphic level along with core images, log data and supporting datasets, providing an essential tool for geological research. To further unlock the full potential of legacy data, the database is used for ML applications to predict lithofacies from core images to minimize manual interpretation. This combined approach supports the ongoing efforts to standardize subsurface data and to ensure accessibility and utility for academic and industrial application.
AB - Over the past 45 years, data collection from oil and gas operations have cost billions of pounds to acquire and digitize. While UK legislations aim to make this data is publicly available, it is often not accessible in a consistent format that is fit for purpose. To help solve this issue, The Sand Injectite Research Group at the University of Aberdeen developed an extensive, relational core database that integrates raw and interpreted data for over 3,000 cored wells, predominantly from the UKCS. The database incorporates over 800,000 core analysis plugs broken down to a stratigraphic level along with core images, log data and supporting datasets, providing an essential tool for geological research. To further unlock the full potential of legacy data, the database is used for ML applications to predict lithofacies from core images to minimize manual interpretation. This combined approach supports the ongoing efforts to standardize subsurface data and to ensure accessibility and utility for academic and industrial application.
UR - https://www.scopus.com/pages/publications/105018090100
U2 - 10.3997/2214-4609.202539095
DO - 10.3997/2214-4609.202539095
M3 - Published conference contribution
AN - SCOPUS:105018090100
T3 - 5th EAGE Digitalization Conference and Exhibition
SP - 1
EP - 5
BT - 5th EAGE Digitalization Conference and Exhibition
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 5th EAGE Digitalization Conference and Exhibition
Y2 - 24 March 2025 through 26 March 2025
ER -