2021 Presentations

On the Predictability of Loop Current Eddy Shedding Events and Unexpected Links to the Brazil and Guiana Currents

2021-12-28T19:44:12+00:00Categories: 2021 Presentations, Infrastructure and Metocean Technology, Presentations|Tags: , |

Duran R., S. X. Liang, M. E. Allende Arandia and C. M. Appendini 2021. “On the Predictability of Loop Current Eddy Shedding Events and Unexpected Links to the Brazil and Guiana Currents,” AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual.

AI/ML Integration for Accelerated Analysis and Forecast of Offshore Hazards

2021-12-27T19:22:24+00:00Categories: 2021 Presentations, Geohazards and Subsurface Modeling, Presentations|Tags: |

Mark-Moser, M., Wingo, P., Duran, R., Dyer, A., Zaengle, D., Suhag, A., Hoover, B., Pantaleone, S., Shay, J., Bauer, J., Rose, K. “AI/ML Integration for Accelerated Analysis and Forecast of Offshore Hazards”, AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual. Session: EP027 -Proven AI/ML applications in the Earth Sciences

Improving prediction of subsurface properties using a geoscience informed, multi-technique, artificial intelligence approach

2022-02-16T16:58:43+00:00Categories: 2021 Presentations, Geohazards and Subsurface Modeling, Presentations|Tags: |

Rose, K., Mark-Moser, M., Suhag, A., and Bauer, J. 2021. Improving prediction of subsurface properties using a geoscience informed, multi-technique, artificial intelligence approach (Invited). AGU Fall Meeting 2021, Dec. 13-17, New Orleans, LA/Virtual. Session H33C – Application of Multimodal Physics-Informed Machine Learning/Deep Learning in Subsurface Flow and Transport Modeling.

Modeling Barium Sulfate Precipitation in High Temperature Systems based on Molecular Statistical Thermodynamics Model

2022-01-13T19:52:03+00:00Categories: 2021 Presentations, Presentations, Thermodynamic Modeling of Mineral Scale at High Pressure High Temperature|Tags: , |

Gamwo, I. K., Hall, D.M., Lvov, S.N, Baled, H.O. Modeling Barium Sulfate Precipitation in High Temperature Systems based on Molecular Statistical Thermodynamics Model, paper 425c, AIChE Annual Meeting, Boston, MA, November 7-11, 2021.

Enhancing Knowledge Discovery of Unstructured Data to Support Context in Subsurface Modeling Predictions

2021-12-28T19:17:44+00:00Categories: 2021 Presentations, Geohazards and Subsurface Modeling, Presentations|Tags: , |

Hoover, B., Mark Moser, M., Wingo, P., Suhag, A., Rose, K., 2021, “Enhancing Knowledge Discovery of Unstructured Data to Support Context in Subsurface Modeling Predictions,” AAPG/SEG IMAGE conference, Denver, Colorado, September 26, 2021 October 1,2021.

Forecasting Platform Integrity with Machine Learning & Advanced Analytics for Reuse Optimization Strategies and Risk Prevention

2021-12-27T17:40:57+00:00Categories: 2021 Presentations, Assessing Current and Future Infrastructure Hazards, Presentations|Tags: , , |

Romeo, L. , and Bauer, J., “Forecasting Platform Integrity with Machine Learning & Advanced Analytics for Reuse Optimization Strategies and Risk Prevention,” Carbon Management and Oil and Gas Research Project Review Meeting Aug. 26, 2021. https://edx.netl.doe.gov/offshore/wp-content/uploads/2021/12/Forecasting-Platform-Integrity-with-Machine-Learning_NETL_08262021.pdf

Ocean and Geohazard Analysis

2021-12-27T17:41:27+00:00Categories: 2021 Presentations, Geohazards and Subsurface Modeling, Presentations|Tags: , , |

Duran, R., Mark-Moser, M., Wingo, P., Dyer, A.,  Zaengle, D., Pantaleone, S.,  Hoover, B., Bauer, J., and Rose, K., “Ocean and Geohazard Analysis,” Carbon Management and Oil and Gas Research Project Review Meeting Aug. 26, 2021. https://edx.netl.doe.gov/offshore/wp-content/uploads/2021/12/Ocean-and-Geohazard-Analysis_08262021.pdf

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