A step-wise approach to oil and gas robotics

Abstract Developing a reliable and intelligent robotic system which enables the remote operation of normally unmanned oil and gas facilities requires innovative and novel technical solutions. Our strategy for meeting these challenges is based on a step-wise approach involving development and validation of the technology in increasingly demanding settings. This starts with proof-of-concept demonstrations in our indoor test facility located in Oslo, Norway. Taking this one step further, robots and applications are further developed, tested and validated in a colocated outdoor test facility. This is normally an intermediate step before bringing demonstrators onto real oil and gas facilities. In this paper, this design philosophy is elaborated upon and illustrated using the development of a valve manipulation application as an example.

[1]  Alin Albu-Schäffer,et al.  Safety Evaluation of Physical Human-Robot Interaction via Crash-Testing , 2007, Robotics: Science and Systems.

[2]  Michael A. Goodrich,et al.  Human-Robot Interaction: A Survey , 2008, Found. Trends Hum. Comput. Interact..

[3]  Konstantinos A. Tarabanis,et al.  A survey of sensor planning in computer vision , 1995, IEEE Trans. Robotics Autom..

[4]  Birgit GRAF,et al.  Mobile Robotics for Offshore Automation , 2007 .

[5]  Thomas B. Sheridan.  Teleoperation, Telerobotics, and Telepresence: A Progress Report , 1992 .

[6]  N.A. Andersen,et al.  Combining a Novel Computer Vision Sensor with a Cleaning Robot to Achieve Autonomous Pig House Cleaning , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[7]  David J. Hand,et al.  IARP/EURON Workshop on Robotics for Risky Interventions and Environmental Surveillance (RISE), Benicassim, Spain, January 2008 , 2008 .

[8]  Dominik Henrich,et al.  Fast vision-based minimum distance determination between known and unkown objects , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Aksel Andreas Transeth,et al.  A Robotic Concept for Remote Inspection and Maintenance on Oil Platforms , 2009 .

[10]  R. Haupt,et al.  A survey of priority rule-based scheduling , 1989 .

[11]  Albert-Jan Baerveldt,et al.  An Agricultural Mobile Robot with Vision-Based Perception for Mechanical Weed Control , 2002, Auton. Robots.

[12]  Vinay M. Igure,et al.  Security issues in SCADA networks , 2006, Comput. Secur..

[13]  John Pretlove,et al.  The robotized field operator , 2009 .

[14]  G. S. Virk.  Industrial mobile robots: the future , 1997 .

[15]  J. Bontsema,et al.  An Autonomous Robot for Harvesting Cucumbers in Greenhouses , 2002, Auton. Robots.

[16]  Haitao Li,et al.  Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm , 2009, J. Sched..

[17]  Rodrigo Roman,et al.  Secure Management of SCADA Networks , 2008 .

[18]  Anthony Stentz,et al.  A robotic system for underground coal mining , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[19]  Alexander Verl,et al.  Mobile robots for offshore inspection and manipulation , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  LYNNE E. PARKER.  ROBOTICS APPLICATIONS IN MAINTENANCE AND REPAIR , 2003 .

[21]  Vladimir J. Lumelsky,et al.  Proximity sensing in robot manipulator motion planning: system and implementation issues , 1989, IEEE Trans. Robotics Autom..

[22]  Mongi A. Abidi,et al.  Autonomous robotic inspection and manipulation using multisensor feedback , 1991, Computer.

[23]  G. Roth,et al.  View planning for automated three-dimensional object reconstruction and inspection , 2003, CSUR.

[24]  I. ClintHeyer.  Human-Robot Interaction and Future Industrial Robotics Applications , 2010 .