Abstract
The oil and gas industry envisions a smarter way of running their business where they can visualize their entire operation, call and retrieve production data effortlessly and seamlessly, collaborating across the entire enterprise to decrease production costs while increasing recovery. The so-called Intelligent Oil Field (IOF) promotes reference architectures and development approaches that improve the flexibility and efficiency of upstream and downstream process. In this sense, OPC UA provides local and remote access to plant information, allowing horizontal and vertical integration in a reliable, safe and efficient way. This article contributes an open IOF architecture for vertical integration based on cyber-physical production systems, configured under IEC 61499 and using OPC UA. Therefore, the proposal is suitable to achieve flexible manufacturing.
Zusammenfassung
Die Öl- und Gasindustrie sieht eine vielversprechende Möglichkeit für ihre Produktionsabwicklung in Bereichen, in welchen sich gesamte Betriebsabläufe visualisieren, Produktionsdaten mühelos und nahtlos abrufen und auffinden lassen. Durch die Integration aller Unternehmensbereiche lassen sich Produktionskosten senken und Erträge steigern. Das so genannte Intelligent Oil Field (IOF) fördert Referenzarchitekturen und Entwicklungsansätze, die die Flexibilität und Effizienz von vor- und nachgelagerten Prozessen verbessern. In diesem Sinne bietet OPC UA lokalen und Fernzugriff auf Anlageninformationen und ermöglicht eine horizontale und vertikale Integration auf zuverlässige, sichere und effiziente Weise. In diesem Artikel wird eine offene IOF-Architektur für die vertikale Integration auf Basis von Cyber-Physical-Production-Systemen vorgestellt, die gemäß IEC 61499 und unter Verwendung von OPC UA konfiguriert wurde. Daher ist der Vorschlag geeignet, eine flexible Produktion zu erreichen.
Funding source: Ministerio de Economía y Competitividad
Award Identifier / Grant number: DPI2015-68602-R
Funding source: Euskal Herriko Unibertsitatea
Award Identifier / Grant number: PPG17/56
Funding source: Eusko Jaurlaritza
Award Identifier / Grant number: IT914-16
Award Identifier / Grant number: SENESCYT-2013
Funding statement: This work was financed under project DPI2015-68602-R (MINECO/FEDER, UE), UPV/EHU under project PPG17/56, GV/EJ under recognized research group IT914-16 and Government of Ecuador through grant SENESCYT-2013.
About the authors
Prof. Dr. Marcelo V. Garcia studied electronics and instrumentation engineering at Universidad de las Fuerzas Armadas ESPE. In 2013 he obtained his MSc degree in Control, Automation and Robotics Engineering, and in 2018 he obtained his PhD degree from the Basque Country University (UPV/EHU). He carried out these studies due to a scholarship grant from the Ecuadorian government. From 2008 to 2018 he was working as an engineering in different oil & gas companies such a Schulumberger, Petrobras and Petroamazonas EP in Ecuador. He is currently a professor in the Faculty of Industrial Engineering at Universidad Tecnica de Ambato. His research interest is focused on next generation architectures for Industry 4.0 systems in various domains such as building automation and discrete manufacturing.
Prof. Dr. Aintzane Armentia received her degree in Telecommunications Engineering by the University of the Basque Country (UPV/EHU) in 2001. After 6 years of industrial experience, she started to work as a researcher in the Department of Automatic Control and Systems Engineering of the same university. In 2011 she obtained her MSc degree in Control, Automation and Robotics Engineering, and in 2016 she obtained her PhD degree. She is currently an assistant professor in the Department of Automatic Control and Systems Engineering. Her research interest is focused on MDE and distributed and dynamically reconfigurable embedded systems with quality of service requirements.
Prof. Dr. Federico Pérez graduated in Telecommunications Engineering in 1991 and obtained his PhD in Telecommunications in 2005 at the University of the Basque Country. He is currently lecturer in Automatic control and Systems Engineering at the Faculty of Engineering in Bilbao, teaching process automation and industrial communications systems. He is co-author of over 30 articles in highly recognised journals and international conferences, and has participated as a researcher in over 20 research projects. His research is focused on the design and development of communication systems for distributed control systems, embedded systems, and industrial automation systems.
Prof. Dr. Elisabet Estévez is a professor of the Electronics and Automation Engineering department at University of Jaén. She is a Telecommunications Engineer by the University of the Basque Country (UPV-EHU) since 2002. In 2007 she obtained her PhD degree from the same university. She is author and coauthor of more than 70 technical papers in international journals and conference proceedings in the field of distributed industrial control systems. She has also worked in several research projects funded by National and European research programs. Her main experience is focused in applying software engineering concepts to industrial control.
Prof. Marga Marcos is professor at the University of the Basque Country in the department for Automatic Control and Systems Engineering, which she chaired for over 10 years. She has co-authored more than 200 technical papers in international journals and conference proceedings. She has acted as the main researcher of more than 80 research projects funded by National and European R & D programs. Her main research interests deal with the application of the Model Driven Engineering paradigm to industrial control systems and reconfigurable manufacturing applications using Multi-Agent systems.
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