A Simulation Tool for Examining the Effect of Communications on Disaster Response in the Oil and Gas Industry.
Reliable communication networks are essential for robust and effective responses. They facilitate information sharing that is required for efficient coordination of critical infrastructures. Poor quality or nonexistent communications can have crippling effects on , adding unwanted delays to time and in the worst case totally isolating vulnerable individuals from critical care. User engagement with communication infrastructure can also have considerable effects on delay times in responses. This paper presents a framework for examining the way in which communication system availability, quality, and user engagement affect delays in disaster response. Closed-form statistical communication network models are derived and nested within a procedural metalayer which incorporates human interaction to determine communication delays in a response. The simulation was developed in MATLAB/Simulink and tested on a hypothetical case involving an oil and gas industry. The can be used in analyzing existing procedures governing the use of communication technologies during an . It can also be used in evaluating the benefits of implementing new systems and redundancies. [ABSTRACT FROM AUTHOR]/nCopyright of IEEE Transactions on Systems, Man & Cybernetics. Systems is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
simulation(Monte Carlo simulations (50 000 iterations) were run)
Communication system performance including connection establishment, delay times, and signal quality.Procedures governing the use of communication technologies (specifically when making calls).Number of serversCall durationCall Arrivalsprobability of rain outagenumber of interferers
Simulation developmentTwo main simulation entities were defined: 1) site and 2) communication link.Modelling of VHF, Microwave, VHF, and VSAT technologiesScenario Developmentemergency scenario involves a hypothetical industrial oil and gas production company with offshore and onshore facilities was designedThe scenario begins when an occurs on an offshore site and requires evacuation
within a simulation
This paper presents a framework for examining the way in which communication system availability, quality, and user engagement affect delays in .
only simulation runs …
Results indicate that the order in which technologies are accessed can have a significant impact on the delay times involved in effecting an .
- development of a simulation - modeling of communication technologies- modeling call behavior of human
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