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.

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

Intelligent Risk Modeling for Offshore: Assessing Current and Future Infrastructure Hazards

2020-10-02T14:53:27+00:00Categories: 2020 Presentations, Assessing Current and Future Infrastructure Hazards, Presentations|Tags: , , |

Romeo, L., Rose, K., Barkhurst, A., Duran, R., Dyer, A., Nelson, J., Sabbatino, M., Wenzlick, M., Wingo, P., and Zaengle, D., “Intelligent Risk Modeling for Offshore: Assessing Current and Future Infrastructure Hazards,” June 2020.

Go to Top