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Universitetet i Bergen
Shankar Manuel Aghitos bilde

Shankar Manuel Aghito

Ph.d.-kandidat
Geofysisk institutt
  • E-postshankar.aghito@uib.no
  • Besøksadresse
    Allégaten 70
    5007 Bergen
  • Postadresse
    Postboks 7803
    5020 Bergen
Vitenskapelig artikkel
  • Vis forfatter(e) (2023). ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants. Geoscientific Model Development. 2477-2494.
  • Vis forfatter(e) (2020). Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model. ISA transactions. 256-268.
  • Vis forfatter(e) (2020). Digitized uncertainty handling of pore pressure and mud-weight window ahead of bit: north sea example. SPE Journal. 529-540.
  • Vis forfatter(e) (2016). Real time model identification using multi-fidelity models in managed pressure drilling. Computers and Chemical Engineering. 76-84.
Faglig foredrag
  • Vis forfatter(e) (2019). Drilling Mud Process Control – A Step Change in Automatic Mud Management.
  • Vis forfatter(e) (2017). Statistical Method for Error Prediction in Decision Support and Control Systems.
  • Vis forfatter(e) (2017). Automatic Model Calibration for Drilling Automation.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2015). SPE/IADC-173145-MS A Dynamic Dual Gradient Model and its Use for Training Prior to DGD Operations in Norway and GoM. 13 sider.
  • Vis forfatter(e) (2015). Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling. 17 sider.
Fagartikkel
  • Vis forfatter(e) (2020). Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model. ISA transactions.
  • Vis forfatter(e) (2019). Pilot test for automated mud management leverages real-time monitoring, hydraulic modeling. Drilling Contractor. 30-33.
Faglig kapittel
  • Vis forfatter(e) (2020). Hybrid Approach for Drilling Automation. . I:
    • Vis forfatter(e) (2020). Proceedings of SPE Norway Subsurface Conference. Society of Petroleum Engineers.
  • Vis forfatter(e) (2020). Autoviscosity - A Vital Step Towards Automation of the Drilling Fluid Process on Drilling Rigs. . I:
    • Vis forfatter(e) (2020). Proceedings of SPE Norway Subsurface Conference. Society of Petroleum Engineers.
  • Vis forfatter(e) (2017). Statistical Method for Error Prediction in Decision Support and Control Systems. 8 sider. I:
    • Vis forfatter(e) (2017). 2017 SPE/IADC - Drilling Conference and Exhibition - digital Proceedings. Society of Petroleum Engineers.
  • Vis forfatter(e) (2017). Automatic Model Calibration for Drilling Automation. 17 sider. I:
    • Vis forfatter(e) (2017). SPE Bergen One Day Seminar, 2017. Society of Petroleum Engineers.

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