Publications
Academic article
- Monteiro, A.; Rodrigues, V.; Picado, A. et al. (2024). Holistic evaluation of the environmental impacts of shipping in the sensitive region of Ria de Aveiro. (external link)
- Aghito, Shankar Manuel; Pampanin, Daniela Maria; Nepstad, Raymond et al. (2024). Modelling and validation of polycyclic aromatic hydrocarbons emissions from offshore oil production facilities. (external link)
- Aghito, Shankar Manuel; Calgaro, Loris; Dagestad, Knut-Frode et al. (2023). ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants. (external link)
- Park, Junho; Price, Cameron; Pixton, David et al. (2020). Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model. (external link)
- Lothe, Ane Elisabet; Cerasi, Pierre; Aghito, Shankar Manuel (2020). Digitized uncertainty handling of pore pressure and mud-weight window ahead of bit: north sea example. (external link)
- Eaton, A N; Beal, L D R; Thorpe, S D et al. (2016). Real time model identification using multi-fidelity models in managed pressure drilling. (external link)
Chapter
- Bjørkevoll, Knut Steinar; Aghito, Shankar Manuel; Lund, Bjørnar et al. (2020). Autoviscosity - A Vital Step Towards Automation of the Drilling Fluid Process on Drilling Rigs. (external link)
- Aghito, Shankar Manuel; Bjørkevoll, Knut Steinar (2020). Hybrid Approach for Drilling Automation. (external link)
- Aghito, Shankar Manuel; Bjørkevoll, Knut Steinar; Nybø, Roar et al. (2017). Automatic Model Calibration for Drilling Automation. (external link)
- Aghito, Shankar Manuel (2017). Statistical Method for Error Prediction in Decision Support and Control Systems. (external link)
Article in business/trade/industry journal
- Park, Junho; Aghito, Shankar Manuel; Nybø, Roar et al. (2020). Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model. (external link)
- Skogestad, Jan Ole; Aghito, Shankar Manuel; Braaksma, Jelmer et al. (2019). Pilot test for automated mud management leverages real-time monitoring, hydraulic modeling. (external link)
Lecture
- Skogestad, Jan Ole; Aghito, Shankar Manuel; Braaksma, Jelmer et al. (2019). Drilling Mud Process Control – A Step Change in Automatic Mud Management. (external link)
- Aghito, Shankar Manuel (2017). Statistical Method for Error Prediction in Decision Support and Control Systems. (external link)
- Aghito, Shankar Manuel (2017). Automatic Model Calibration for Drilling Automation. (external link)
Academic chapter/article/Conference paper
- Eaton, Ammon N; Beal, Logan D. R.; Thorpe, Sam D. et al. (2015). Ensemble Model Predictive Control for Robust Automated Managed Pressure Drilling. (external link)
- Svendsen, Morten; Bjørkevoll, Knut Steinar; Rommetveit, Rolv et al. (2015). SPE/IADC-173145-MS A Dynamic Dual Gradient Model and its Use for Training Prior to DGD Operations in Norway and GoM. (external link)