11 citations as recorded by crossref.

1. Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review Y. An et al. 10.1016/j.earscirev.2023.104509
2. Deep convolutional neural network for automatic fault recognition from 3D seismic datasets Y. An et al. 10.1016/j.cageo.2021.104776
3. Fracking bad language – hydraulic fracturing and earthquake risks J. Roberts et al. 10.5194/gc-4-303-2021
4. Improving Accuracy in Studying the Interactions of Seismic Waves with Bottom Sediments G. Mitrofanov et al. 10.3390/jmse9020229
5. How do differences in interpreting seismic images affect estimates of geological slip rates? W. Hu 10.5194/se-13-1281-2022
6. Assessing the accuracy of fault interpretation using machine-learning techniques when risking faults for CO2 storage site assessment E. Michie et al. 10.1190/INT-2021-0077.1
7. Continent‐Ocean Transition or Boundary? Crowd‐Sourced Seismic Interpretations of the East‐India Passive Margin C. Bond et al. 10.1029/2022TC007624
8. Evidencing subtle faults in deep seismic reflection profiles: Data pre-conditioning and seismic attribute analysis of the legacy CROP-04 profile M. Ercoli et al. 10.3389/feart.2023.1119554
9. Fault interpretation uncertainties using seismic data, and the effects on fault seal analysis: a case study from the Horda Platform, with implications for CO<sub>2</sub> storage E. Michie et al. 10.5194/se-12-1259-2021
10. Petrophysical appraisal and 3-D structural interpretation of reservoirs in an Onshore Niger Delta Field, Southeastern Nigeria M. Akpan et al. 10.1007/s42108-022-00218-9
11. Introduction: Handling uncertainty in the geosciences: identification, mitigation and communication L. Pérez-Díaz et al. 10.5194/se-11-889-2020