Research
Presently at the National Energy Technology Laboratory (NETL), my research focuses on predicting and quantifying potential risks associated with oil and gas infrastructure for carbon storage, transport, and production. I utilize geospatial analyses and data science methods to assess risks associated with infrastructure and forecast potential hazards that may impact these structures.
Previously, my research at Portland State University (PSU) focused on forest resilience, resistance, and recovery following major wildfire disturbances in the Pacific Northwest with multi-scale approaches pertaining to spatial analysis, remote sensing, and data science. This research is affiliated with the Global Environmental Change lab at PSU.
Published Papers
Journal: Natural Hazards
Dyer, A.S., Mark-Moser, M., Duran, R. et al. Offshore application of landslide susceptibility mapping using gradient-boosted decision trees: a Gulf of Mexico case study. Nat Hazards 120, 6223–6244 (2024). https://doi.org/10.1007/s11069-024-06492-6.
Journal: Marine Structures
Dyer, A. S., Zaengle, D., Nelson, J. R., Duran, R., Wenzlick, M., Wingo, P. C., Bauer, J. R., Rose, K., & Romeo, L. (2022). Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks. Marine Structures, 83, 103152. https://doi.org/10.1016/j.marstruc.2021.103152.
Technical Report Series
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National Energy Technology Laboratory
Nelson, J., Dyer, A., Romeo, L., Wenzlick, M., Zaengle, D., Duran, R., Sabbatino, M., Wingo, P., Barkhurst, A., Rose, K., Bauer, J. (2020). Evaluating Offshore Infrastructure Integrity. DOE/NETL-2021/2643; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR. p 70. doi.org/10.2172/1780656.