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04/13/2023
Sequential Monte Carlo applied to virtual flow meter calibration
Soft-sensors are gaining popularity due to their ability to provide esti...
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03/01/2023
Multi-task neural networks by learned contextual inputs
This paper explores learned-context neural networks. It is a multi-task ...
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11/10/2022
Adjustment formulas for learning causal steady-state models from closed-loop operational data
Steady-state models which have been learned from historical operational ...
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02/07/2022
Passive learning to address nonstationarity in virtual flow metering applications
Steady-state process models are common in virtual flow meter application...
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03/23/2021
On gray-box modeling for virtual flow metering
A virtual flow meter (VFM) enables continuous prediction of flow rates i...
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03/15/2021
Multi-task learning for virtual flow metering
Virtual flow metering (VFM) is a cost-effective and non-intrusive techno...
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02/02/2021
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
Recent works have presented promising results from the application of ma...
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02/07/2020
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter – a Case Study
Virtual flow meters, mathematical models predicting production flow rate...
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07/06/2019
