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TotalEnergies’ use of robotics on remote or offshore sites is considered with the objective of enabling unmanned operation for long periods and as the next frontier for increased personnel safety, industry attractiveness for young talents and further OPEX and CAPEX reduction. TotalEnergies performed several IT/OT system architecture evolutions and developed a specific Robot Supervision System (RSS) equivalent to a fleet management system to help and consolidate know-how in the deployments of specific mobile ground robots. As the first autonomous and explosion-proof inspection ground robots become commercial, many have difficulties seeing how these new devices can be interfaced with legacy industrial systems and how its data can be represented in a user-friendly interface to make the remote operation of robot efficient & attractive enough. Only this level of interfacing will enable the possibility for automated inspection, operation, and maintenance tasks execution with intuitive programmable interfaces. The robotic devices also need also to comply with detailed specifications in order to communicate its data in real time to the supervision system. We will describe the specific modifications required to the robot associated systems to be used within a private industrial network and the specification for real time interfacing of its data. Many Robot suppliers initiated their system developments focusing on robot navigation but a lot of the interfacing complexity with operator companies remained to be achieved to exchange data with the site digital twin, the maintenance task planning tool, the cloud machine learning software resources, or the Process Data Management System (PDMS) or even the plant control system (DCS). The associated functionalities of the RSS will also be presented: Acquisition, historization and user-friendly display of robot's dataIntegrate several robot types or from several vendorsInterface with all company systemsVisual 3D digital twin environment to display data acquired by the robot or useful data for its remote operationIntuitive configuration and management of robot for routine tasks or based on a specific plant event or alarmComply with specific industrial cybersecurity rules Feedback will also be given on how it has been possible to adapt the IT architectures and how we intend to fit the requirements of OT systems to adopt robots with more critical interactions with the industrial process. We can present our approach for upscaling robot deployment with this on-premises supervision systems capable of historizing the data, generating immersive front-end displays for robots’ operators and managing secured interconnections to corporate systems. Figure 1An experienced operator using the RSS - View of the 2 main dashboard types (summary mashups & 3D view)
TotalEnergies’ use of robotics on remote or offshore sites is considered with the objective of enabling unmanned operation for long periods and as the next frontier for increased personnel safety, industry attractiveness for young talents and further OPEX and CAPEX reduction. TotalEnergies performed several IT/OT system architecture evolutions and developed a specific Robot Supervision System (RSS) equivalent to a fleet management system to help and consolidate know-how in the deployments of specific mobile ground robots. As the first autonomous and explosion-proof inspection ground robots become commercial, many have difficulties seeing how these new devices can be interfaced with legacy industrial systems and how its data can be represented in a user-friendly interface to make the remote operation of robot efficient & attractive enough. Only this level of interfacing will enable the possibility for automated inspection, operation, and maintenance tasks execution with intuitive programmable interfaces. The robotic devices also need also to comply with detailed specifications in order to communicate its data in real time to the supervision system. We will describe the specific modifications required to the robot associated systems to be used within a private industrial network and the specification for real time interfacing of its data. Many Robot suppliers initiated their system developments focusing on robot navigation but a lot of the interfacing complexity with operator companies remained to be achieved to exchange data with the site digital twin, the maintenance task planning tool, the cloud machine learning software resources, or the Process Data Management System (PDMS) or even the plant control system (DCS). The associated functionalities of the RSS will also be presented: Acquisition, historization and user-friendly display of robot's dataIntegrate several robot types or from several vendorsInterface with all company systemsVisual 3D digital twin environment to display data acquired by the robot or useful data for its remote operationIntuitive configuration and management of robot for routine tasks or based on a specific plant event or alarmComply with specific industrial cybersecurity rules Feedback will also be given on how it has been possible to adapt the IT architectures and how we intend to fit the requirements of OT systems to adopt robots with more critical interactions with the industrial process. We can present our approach for upscaling robot deployment with this on-premises supervision systems capable of historizing the data, generating immersive front-end displays for robots’ operators and managing secured interconnections to corporate systems. Figure 1An experienced operator using the RSS - View of the 2 main dashboard types (summary mashups & 3D view)
One of the missions of the TotalEnergies’ R&D is to pave the way for tomorrow's simpler, streamlined and less expensive facilities. The vision is focused on unmanned installations in which autonomous ground robots are key components. In 2017, the ARGOS (Autonomous Robots for Gas and Oil Sites) Challenge delivered the first prototype of a new generation of autonomous, ATEX-compliant ground robots capable of detecting anomalies. Based on this success, TotalEnergies started a few projects with the aim to introduce and standardize robotics on O&G sites. The first project is the development of a series of autonomous robots, designed to withstand the rough O&G environment for long durations: an inspection robot and an operator robot. The second project is the adaptation of the standard methods of engineering operations for green-field developments as well as preparing the implementation of robots on brownfields. The third one is the development of a specific environment to remotely supervise a fleet of robots operating simultaneously on a same site. A major take away for the success of robotics implementation is increasing the technological readiness as well as usability and acceptance of the whole robotics operation system. This can be verified only through exposure to users in a realistic environment. After each major development, their proper achievement is measured following a robust process of observation in different contexts. An incremental approach for trials was implemented from testing in specific laboratory conditions up to long duration pilots on major installations under the custody of the future users. Those complex tests are a tremendous source of deep insight in understanding robotic operations and allowing the research to be pushed further towards a more practical solution for the petroleum industry. The presentation will highlight the first tangible results from the operational implementation and prototypes testing of robots and the readiness of robotics for Oil and Gas. The experience gained by TotalEnergies in developing Robotics Operations through testing it extensively in various industrial contexts, represents a unique case with this large scale of usages. It was already shared with some of our peers and this paper is a great opportunity to expose to the Oil and Gas industry to our vision of how to prepare the future of unmanned, safe and environmentally friendly operations.
Lunar Outpost is an advanced technology startup specializing in the development of sophisticated robotic platforms for both space and terrestrial applications. Recognizing the need for automated site inspection and observation in industries such as upstream oil and gas, Lunar Outpost has developed the ‘Hound’ rover—a terrestrial robot designed for monitoring and gathering operational measurements of various field assets, including wellheads, flowlines, separators, tanks, pump stations, and pipelines. This paper describes the research and development efforts behind the Hound rover, focusing on the discovery of end-user requirements to effectively address industry pain points. The development process involved extensive stakeholder engagement, allowing for the identification of critical needs and challenges faced by the industry. The resulting platform was designed to meet these requirements and underwent rigorous verification and validation processes to ensure its capability and effectiveness.The research findings informed key decisions regarding prototyping, design, and the implementation of various features and capabilities. Each of these elements underwent thorough verification or validation, confirming their alignment with the original needs expressed by industry stakeholders. By addressing these needs, the Hound rover offers a comprehensive solution for autonomous monitoring and observation in the oil and gas industry.Furthermore, a comparative analysis was conducted to assess the advantages and disadvantages of implementing the Hound rover compared to existing operational procedures and other robotic platforms in use today. This analysis highlights the cost-effectiveness, improved visit frequency, enhanced observation capabilities, and strengthened regulatory compliance offered by the Hound rover. By replacing traditional site visits with autonomous systems, operators can achieve significant cost reductions, increase operational efficiency, and ensure compliance with safety and environmental regulations.The development of the Hound rover represents a transformative opportunity for the oil and gas industry. It addresses critical pain points, improves operational efficiency, and enhances worker safety. The findings and insights from this research have broader implications for the use of autonomous robotic platforms in various industries. Continued research and development efforts can further optimize these platforms and expand their applications, driving advancements in the field of robotics and automation.
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