Abstract Today's geoscience challenges often require repurposing of data and samples from legacy boreholes. Collection of new deep core is expensive; maximizing this investment is vital. However, the condition of legacy cores varies due to factors including recovery, sampling, lithology, and storage. Rock Quality Designation analysis is often undertaken on new core but this only provides a snapshot of core condition and will not be indicative of subsequent condition. Poor core condition can make destructive analytical techniques impossible and also impacts non-destructive techniques including core scanning. Since 2011, BGS have systematically collected 125 000 core images. This study investigates if core condition of this archive can be assessed using automated analysis by machine learning. A neural network-based approach was used to segment these images. By differentiating imaged core from their background, properties such as number of fragments and total rock area were determined and used to assess core condition. Analysis of outputs demonstrates that with minimal input data, core condition can be rapidly assessed. This allows users to better understand and visualize core. This can be used to qualitatively assess non-destructive data, improve success of destructive sampling through targeted sampling and reduce the time and effort spent interacting with physical material.

Abstract The U.S. Geological Survey (USGS) operates the Core Research Center (CRC) in Denver, Colorado, USA, a public access repository of rock cores from over 9800 wells and drill cuttings from over 53 000 wells, primarily from states in or adjacent to the Rocky Mountain Region. Annually, approximately 1400 visitors use the collection for traditional and innovative research. The CRC has an online, searchable database which includes downloadable core photos, analytical data, and thin-section images. When visitors sample for analyses, the results must be returned to the CRC for public dissemination providing immediate, free access to users while sparing the finite, irreplaceable collection from redundant testing. A representative quantity of every core depth is preserved in perpetuity. Studies on CRC materials, paired with new extraction methods, have unlocked new productive deposits. Materials drilled and curated decades ago remain in high demand while materials receiving little attention today may be crucial for future research. The collection provides immediate, inexpensive access to subsurface materials at a fraction of the cost of new drilling, sparing money, time and environmental impacts.