Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization
- DOI
- 10.5194/se-9-385-2018
- Published
- 2018-04-06
- Container
- Solid Earth
- Publisher
- Copernicus GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5194/se-9-385-2018,
title = {Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization},
author = {Evren Pakyuz-Charrier and Mark Lindsay and Vitaliy Ogarko and Jeremie Giraud and Mark Jessell},
year = {2018},
journal = {Solid Earth},
doi = {10.5194/se-9-385-2018},
url = {https://doi.org/10.5194/se-9-385-2018}
}RIS
TY - JOUR TI - Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization AU - Evren Pakyuz-Charrier AU - Mark Lindsay AU - Vitaliy Ogarko AU - Jeremie Giraud AU - Mark Jessell PY - 2018 JO - Solid Earth DO - 10.5194/se-9-385-2018 UR - https://doi.org/10.5194/se-9-385-2018 ER -
APA
Pakyuz-Charrier, E., Lindsay, M., Ogarko, V., Giraud, J., & Jessell, M. (2018). Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization. Solid Earth. https://doi.org/10.5194/se-9-385-2018
Source records
- crossref · retrieved 2026-09-25T04:18:45.911Z