A Machine Learning Approach for Virtual Flow Metering and Forecasting

15 Feb 2018Nikolai Andrianov

We are concerned with robust and accurate forecasting of multiphase flow rates in wells and pipelines during oil and gas production. In practice, the possibility to physically measure the rates is often limited; besides, it is desirable to estimate future values of multiphase rates based on the previous behavior of the system... (read more)

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