A Probabilistic Risk Assessment of Offshore Flaring Systems Using Bayesian Network
The flare system plays a crucial role in oil and gas production, refining and processing. Essentially, the flaring system represents the last line of defence in the clearance of undesired products released from the emergency relief. This paper presents a
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Faisal I. Khan Nihal Anwar Siddiqui S. M. Tauseef B. P. Yadav Editors
Advances in Industrial Safety Select Proceedings of HSFEA 2018
Springer Transactions in Civil and Environmental Engineering Editor-in-Chief T. G. Sitharam, Indian Institute of Technology Guwahati, Guwahati, Assam, India
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Faisal I. Khan Nihal Anwar Siddiqui S. M. Tauseef B. P. Yadav •
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Editors
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Editors Faisal I. Khan Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John’s, NL, Canada S. M. Tauseef Department of Health Safety, Environment and Civil Engineering University of Petroleum and Energy Studies Dehradun, Uttarakhand, India
Nihal Anwar Siddiqui Department of Health Safety, Environment and Civil Engineering University of Petroleum and Energy Studies Dehradun, Uttarakhand, India B. P. Yadav Department of Health Safety, Environment and Civil Engineering University of Petroleum and Energy Studies Dehradun, Uttarakhand, India
ISSN 2363-7633 ISSN 2363-7641 (electronic) Springer Transactions in Civil and Environmental Engineering ISBN 978-981-15-6851-0 ISBN 978-981-15-6852-7 (eBook) https://doi.org/10.1007/978-981-15-6852-7 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of ge
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