Peer-reviewed research on natural fracture networks, diagenesis, and subsurface characterization
Witte, J. & , Artificial intelligence application for natural fracture network characterization: a state-of-the-art review, Whitepaper. (Expected 2026)
Elliott, S.J., , Wang, Q., Corrêa, R., Shakiba, M., Fulcher, S.A., Hebel, N.J., Lee, B.T., Tirmizi, S.T., Hooker, J.N., Fall, A., Olson, J.E., Laubach, S.E., 2025. Diagenesis is key to unlocking outcrop fracture data suitable for quantitative extrapolation to geothermal targets, Frontiers in Earth Science, v. 13, 2545007. https://doi.org/10.3389/feart.2025.1545052↗ 7 citations
, Corrêa, R., Wang, Q., Laubach, S.E., 2024. Fracture length data for geothermal applications. In Gill, C.E., Goffey, G., Underhill, J.R., eds., Powering the Energy Transition through Subsurface Collaboration, Geological Society of London, Energy Geoscience Conference Series, v. 1. https://doi.org/10.1144/egc1-2024-17↗ 7 citations
, & Laubach, S.E., 2022. Scale-dependent fracture networks. Journal of Structural Geology, 165, 104748. https://doi.org/10.1016/j.jsg.2022.104748↗ 63 citations
2nd most downloaded in 2023 and 3rd most cited paper in Journal of Structural Geology 2022-2025
Baqués, V., Ukar, E., Laubach, S.E., , Fall, A., 2020. Fracture, dissolution, and cementation event in Ordovician carbonate reservoirs, Tarim Basin, NW China. Geofluids, 9037429. https://doi.org/10.1155/2020/9037429↗ 63 citations