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1 kwi 2022 · In terms of data analysis in fluid mechanics, machine learning has gradually been applied to the fields of reduced-order modeling, reconstruction and prediction, turbulence model closure, and active flow control with many advantages.
1 sty 2020 · Virtual Flow Metering (VFM) is an increasingly attractive method for estimation of multiphase flowrates in oil and gas production systems. Instead of using expensive hardware metering devices, numerical models are used to compute the flowrates by using readily available field measurements such as pressure and temperature.
1 gru 2023 · We proposed an in-use measurement system for ultrasonic flowmeter incorporating digital signal processors and machine learning approaches. Experimental analysis has been carried out to determine the index affecting the accuracy of ultrasonic flowmeter.
Virtual Flow Metering systems use readily available field measurements and estimate multiphase flowrates by means of mathematical modeling of a production system.
15 lut 2018 · In this work, we demonstrate that a Long Short-Term Memory (LSTM) recurrent artificial network is able not only to accurately estimate the multiphase rates at current time (i.e., act as a virtual...
14 lis 2022 · Advancements in machine-learning (ML) techniques are driving a paradigm shift in image processing. Flow diagnostics with optical techniques is not an exception. Considering the existing and foreseeable disruptive developments in flow field measurement techniques, we elaborate this perspective, particularly focused to the field of particle image ...
28 kwi 2022 · Bluetooth and Smart Meter Verification are available. For flow measurement, there are typically three key areas of interest to end users: data analytics, condition-based monitoring and predictive analytics.
