(Left) Atrial Flow Rate Estimator

Pool Rechner für verschiedene Aufgaben rund um Bau und Betrieb

Orifice plate sizing convergence algorithm implementing with GUI - Instrumentations Lab - Petroleum University of Technology

This project involves using an Arduino to monitor flow rate using a sensor connected to an Ethernet shield. The data is processed and sent to an MQTT server every five minutes. The project leverages NTP (Network Time Protocol) for time synchronization and ensures accurate and timely data transmission.

Oil Production Flow Rate Prediction with Deep Neural Network Algorithm such as Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM). This Model will testing with Validation method called Walk-Forward Validation (WFV). Basically the validation seperate in two part, the first WFV over actual data and WFV over predicted data.