Design and Implementation of a Safe and Reliable Instrumentation and Control System in Oil and Gas Industry

2011 ◽  
pp. 870-879
Author(s):  
Harvindar Gambhir
Keyword(s):  
Control System ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Design And Implementation ◽  
And Control

An Advanced Pilot Training and Control System for Underwater Robotic Vehicles

2000 ◽  
Vol 12 (3) ◽  
pp. 275-280 ◽  
Author(s):  
Gerald Seet ◽  
◽  
Tan Kok Cheng ◽  
Michael W. S. Lau ◽  
Eicher Low
Keyword(s):  
Control System ◽  
Oil And Gas ◽  
Research Programme ◽  
Oil And Gas Industry ◽  
Research Centre ◽  
Pilot Training ◽  
Repair System ◽  
Gas Industry ◽  
Robotic Vehicle ◽  
And Control

A research team of the Robotics Research Centre (R2C) recently secured a research grant to pursue a research programme relevant to the oil and gas industry. This grant supports the development of technologies and systems for the advancement of knowledge and for possible commercial exploitation. A programme, focusing on the development of a sophisticated Underwater Robotic Vehicle (URV) inspection and repair system, for submerged structures have been initiated. The work reported in this paper focuses on one aspect of the research programme, that of the development of a pilot training and control system incorporating an advanced man-machine interface for improving operator dexterity. In-the-field training of URV pilots is an expensive process. This is in part due to the high cost of maintaining a support vessel at sea. Training simulators can be viewed as a viable solution to this problem. Simulators, however, represents additional costs and in some ways lacks the realism of working on the real system. The R2C researchers proposed a novel simulator configuration. It has developed a dual-purpose topside control system configuration that can be used for training as well as for the control of an actual URV. In the simulator configuration, the physical URV is replaced by a simulator module, which accepts actual commands from the control system and responds with a simulated URV status through an onboard dynamic model of the URV. The simulator module behaves much like the actual URV accepting commands and responds with status information. The advantage of such a system is perceived to be lower system cost as well as a more realistic testing and simulation of the relevant processes.

scholarly journals CONSTRUCTABILITY IN INDUSTRIAL PLANTS CONSTRUCTION: A BIM-LEAN APPROACH USING THE DIGITAL OBEYA ROOM FRAMEWORK

2017 ◽  
Vol 23 (8) ◽  
pp. 1100-1108 ◽  
Author(s):  
Daniel Luiz de Mattos NASCIMENTO ◽  
Elisa Dominguez SOTELINO ◽  
Thiago Pires Santoloni LARA ◽  
Rodrigo Goyannes Gusmão CAIADO ◽  
Paulo IVSON
Keyword(s):  
Construction Projects ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Information Modeling ◽  
Lean Thinking ◽  
Gas Industry ◽  
Common Solution ◽  
Planning And Control ◽  
Building Information ◽  
And Control

One of the main problems the construction industry faces is the high cost and slow execution time due to inadequate planning, which results in poor use of human resources. A common solution for reducing time and costs is the adoption of prefabricated components (prefabs). This paper proposes a novel methodology for interdisciplinary man­agement of construction projects by integrating Building Information Modeling (BIM) and Lean Thinking to improve the production planning and control of pipe-rack modules in an industrial facility. The article first presents a literature review to assess the key synergies between BIM and Lean Thinking. These led to the development of a new integrated work methodology named Digital Obeya Room. This model focuses on the required workflows, the analysis of collected data, and the visual management of construction planning and control. A real-world empirical study in the Oil and Gas industry evaluated how the newly devised practices could improve prefabrication and preassembly planning. The pro­posed methodology was capable of reducing the welding-time in 8.7% related on global prefabrication average in con­struction projects from Fails Management Institute (FMI) prefabrication report survey 2017.

scholarly journals Iot Enabled Pipeline Leakage Detection and Real Time Alert System in Oil and Gas Industry

2020 ◽  
Vol 8 (5) ◽  
pp. 2582-2586
Keyword(s):  
Real Time ◽  
Oil And Gas ◽  
Detection System ◽  
Oil And Gas Industry ◽  
Petroleum Products ◽  
Time Data ◽  
Gas Industry ◽  
Processing Plants ◽  
Automation And Control ◽  
And Control

Automation and control systems are necessary throughout oil & gas industries, to production and processing plants, and distribution and retailing of petroleum products. Pipelines are the efficient mode of transportations of fuels for processing plants over long distances. At present Automation is achieved by using PLC’s that are communicated through SCADA. But it is complex and remote operation is not possible. With the introduction of IoT, the pipeline leak detection system is improved through real-time monitoring of the pipelines. Our Proposed system is designed to detect even small leakage that occurs within the pipeline. The implementation of IoT in oil and gas industries prevents accidents and to make quick decisions based on real-time data

scholarly journals Resident Vehicles: A New Directive for Subsea Operations

2019 ◽  
Vol 53 (5) ◽  
pp. 54-58 ◽  
Author(s):  
Mark Alan Stevens
Keyword(s):  
Oil And Gas ◽  
Command And Control ◽  
Oil And Gas Industry ◽  
Shared Resources ◽  
Gas Industry ◽  
Maintenance And Repair ◽  
Service Companies ◽  
Reducing Costs ◽  
And Control ◽  
Field Planning

AbstractThe extended downturn experienced by the oil and gas industry has forced operators and service companies to look at new ways to operate more efficiently. Reductions in personnel and assets have led to a rethink of how operations are conducted to support operations offshore. A newer concept of resident vehicle operations is changing the way the industry approaches the inspection, maintenance, and repair market. The resulting technology advances to support the enablement of resident vehicle programs are expected to change the planning, staging, and deployment of personnel and equipment to support offshore operations. How companies interact with these advanced remote systems is migrating field planning back toward a centralized command and control feature set. This allows for shared resources to be used for multiple activities, thereby reducing costs and enabling more efficient operations.

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