Deep Transfer Learning from Data for Operational Excellence in Refineries

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Chemical Process industries are adopting digital technologies using artificial intelligence for improved efficiency. The new 'big data analytics' era (driven by the explosion of data using smart digital measurement devices, improved data storage capacity due to cloud computing, powerful hardware and software technology and communication platforms) is emerging as the new journey to turn voluminous data into insights for better operational and business decisions. Most manufacturing facilities, including the Oil and Gas industry, which is paramount to the well-being of the Canadian economy, are currently experiencing a digital transformation to stay globally competitive. To reach the next milestone with this digital revolution, government, academia, and industry need to collaboratively focus on innovation for value generation and development of well-trained workforce with digital expertise. Using data science, vast process data can be intelligently correlated reliably and accurately. Machine learning and deep learning algorithms are capable of automatically gathering insights from data and making predictions and provide means to pinpoint the root cause of process disturbances with extreme accuracy, and predict process instabilities and failures before they have the chance to affect production. This collaborative project between Western University and Imperial Oil aims to address the challenges of digital technology implications on personnel, process safety, implementation and availability of trained personnel with relevant skills. The proposed research program will lead to new insights in developing innovative data-driven modeling approaches for better control and understanding of (a) de-salter operation at refinery and in optimizing its operation, and (b) hydro-processing operating units with the intention of optimization of the entire refinery unit. Results will allow Imperial Oil to effectively improve their refinery operations for sustainability, safety, and profitability. The key deliverable of the project are development of new knowledge, tools, and highly trained, qualified personnel to advance digital technologies and catalyze economic growth.