Seyyed Hosseini

University of Texas at Austin - Gulf Coast Carbon Center

University Station, Box X

Austin, TX 78713

United States

SCHOLARLY PAPERS

3

DOWNLOADS

102

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

CO2-EOR and GCS Co-Optimization with Carbon Lifecycle Analysis Considerations

14th Greenhouse Gas Control Technologies Conference Melbourne 21-26 October 2018 (GHGT-14)
Number of pages: 12 Posted: 04 Apr 2019 Last Revised: 29 Jul 2019
Vanessa Nuñez-Lopez, Ramon Gil-Egui and Seyyed Hosseini
University of Texas at Austin - Gulf Coast Carbon Center, UT/Bureau of Economic Geology /GCCC and University of Texas at Austin - Gulf Coast Carbon Center
Downloads 49 (486,716)

Abstract:

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CO2-EOR, GHGT-14, LCA, CCUS, Co-optimization

2.

Monitoring Design for a Major US CCUS Project

14th Greenhouse Gas Control Technologies Conference Melbourne 21-26 October 2018 (GHGT-14)
Number of pages: 12 Posted: 11 Apr 2019
University of Groningen, University of Texas at Austin - Gulf Coast Carbon Center, University of Texas at Austin - Gulf Coast Carbon Center, University of Texas at Austin - Gulf Coast Carbon Center, University of Texas at Austin - Gulf Coast Carbon Center, University of Texas at Austin - Gulf Coast Carbon Center, University of Texas at Austin - Gulf Coast Carbon Center, Edwards Aquifer Authority, Hilcorp Energy, Kinnickinnick Exploration and Hilcorp Energy
Downloads 33 (553,854)

Abstract:

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Other, GHGT-14

3.

Application of Deep Learning for Characterization of CO2 Leakage Based on Above Zone Monitoring Interval (AZMI) Pressure Data

Proceedings of the 15th Greenhouse Gas Control Technologies Conference 15-18 March 2021
Number of pages: 5 Posted: 05 Apr 2021
University of Bergen - Department of Mathematics, University of Texas at Austin - Gulf Coast Carbon Center, University of Bergen - Department of Mathematics and University of Bergen - Department of Mathematics
Downloads 20 (635,885)

Abstract:

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AZMI; Pressure Reconstruction; Classification; Bayesian Variational Methods, Semi Conditional Variational Auto-Encoders; Multi tasks Learning; CCS Monitoring