Rapid Scenario Generation for Associating Borehole Fault Observations

Amandine Fratani and Guillaume Caumon and Jeremie Giraud and R.S. Stoica. ( 2026 )
in: Sixth EAGE Digitalization Conference \& Exhibition, pages 1-5, European Association of Geoscientists \& Engineers

Abstract

We propose expert rules and a dedicated sampling algorithm to correlate fault and fracture data between sparse borehole observations. The method shows consistent results on synthetic data, and can be used to manage fault-related uncertainties both during and after drilling.

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BibTeX Reference

@inproceedings{fratani:hal-05549022,
 abstract = {We propose expert rules and a dedicated sampling algorithm to correlate fault and fracture data between sparse borehole observations. The method shows consistent results on synthetic data, and can be used to manage fault-related uncertainties both during and after drilling.},
 address = {Stavanger, Norway},
 author = {Fratani, A. and Caumon, G. and Giraud, J. and Stoica, R.S.},
 booktitle = {{Sixth EAGE Digitalization Conference \& Exhibition}},
 doi = {10.3997/2214-4609.202639097},
 hal_id = {hal-05549022},
 hal_version = {v1},
 month = {March},
 pages = {1-5},
 pdf = {https://hal.univ-lorraine.fr/hal-05549022v1/file/89.pdf},
 publisher = {{European Association of Geoscientists \& Engineers}},
 title = {{Rapid Scenario Generation for Associating Borehole Fault Observations}},
 url = {https://hal.univ-lorraine.fr/hal-05549022},
 volume = {2026},
 year = {2026}
}