Hazard and Operability (HAZOP) Study at Separation System in the Offshore Platform
(*) Corresponding author
Energy is needed to maintain the cycle of life. It could come from natural oil and gas. Energy sources (oil and gas) are obtained by mining activities on land or sea. At sea, the offshore platform plays very important function in the exploration of natural oil and gas. It consists of several systems; one of these systems is a separation system, which is useful for separating oil, gas and water from the hydrocarbon stream. The separation system consists of several types of equipment such as separators, filters, pumps, pig launchers, and others. Therefore, it is necessary to carry out periodic maintenance activities for equipment on the offshore platform. Maintenance activities could be carried out by knowing the risk level of each equipment on the offshore platform. This research uses the hazard and operability study in order to determine the level of risk in each equipment in the offshore platform as a case study. After the risk level is obtained, the intensive maintenance activities can be carried out on the equipment that has the highest risk level. In this research, it is known that the two types of separators have the highest risk level. Therefore, intensive maintenance activities should be carried out on the two equipments.
Copyright © 2022 Praise Worthy Prize - All rights reserved.
CAPP, "CAPP," CAPP, 2021. [Online, Accessed 9 March 2021].
B. Sommer, A. M. Fowler, P. I. Macreadie, D. A. Palandro, A. C. Aziz and D. Booth, Decommissioning of offshore oil and gas structure - Environmental opportunities and challenges, Science of the Total Environment, vol. 658, pp. 973-981, 2019.
Y. Liu, H. Lu, Y. Li, H. Xu, Z. Pan, P. Dai, H. Wang and Q. Yang, A review of treatment technologies for produced water in offshore oil and gas fields, Science of the Total Environment, vol. 775, pp. 1-48, 2021.
T. Acharya and L. Casimiro, Evaluation of flow characteristic in an onshore horizontal separator using computational fluid dynamics, Journal of Ocean Engineering and Science, vol. 5, no. 3, pp. 261-268, 2020.
"ISO 31000. Risk Management Guidelines," 2018. [Online].
E. Zio, The Future of Risk Assessment, Reliability Engineering & Syestem Safety, vol. 177, pp. 176-190, 2018.
Siswantoro, N., Semin, S., Zaman, M., Criticality Assessment for Marine Diesel Engine Using Failure Mode and Effect Criticality Analysis (FMECA) Approach: Case Study on Lubricating Oil System, (2020) International Review of Mechanical Engineering (IREME), 14 (4), pp. 258-263.
Di Nardo, M., Murino, T., The System Dynamics in the Human Reliability Analysis Through Cognitive Reliability and Error Analysis Method: a Case Study of an LPG Company, (2021) International Review of Civil Engineering (IRECE), 12 (2), pp. 56-68.
Bonfante, F., Maggiore, P., Grimaccia, F., Filippone, E., Dalla Vedova, M., Full Integration of Light RPAS into Not Segregated Airspace: Preliminary Safety Analysis for the Implementation of a Risk Model, (2020) International Review of Aerospace Engineering (IREASE), 13 (5), pp. 165-181.
N. Cahyono, M. B. Zaman, N. Siswantoro, D. Priyanta and T. Pitana, Risk Analysis Using the Risk-Based Inspection (RBI) Method for a Pressure Vessel at Offshore Platform, IOP Conference Series: Materials Science and Engineering, vol. 1052, p. 012051, 2021.
R. He, Y. Dai, L. J. and C. Mou, Developing ladder network for intelligent evaluation system: Case of remaining useful life prediction for centrifugal pumps, Reliability Engineering & System Safety, vol. 180, pp. 385-393, 2018.
Zaman, M., Siswantoro, N., Luciawan, F., Analysis of Inspection Scheduling Program on Condensate Atmospheric Storage Tank Using Risk Based Inspection, (2020) International Review of Mechanical Engineering (IREME), 14 (9), pp. 565-571.
J. Wu and M. Lind, Management of System Complexity in HAZOP for the Oil & Gas Industry, IFAC-PapersOnLine, vol. 51, no. 8, pp. 211-216, 2018.
M. Cheraghi, A. E. Baladeh and N. Khakzad, A fuzzy multi-attribute HAZOP technique (FMA-HAZOP): Application to gas wellhead facilities, Safety Science, vol. 114, pp. 12-22, 2019.
P. K. Marhavilas, M. Filippidis, G. K. Koulinas and D. E. Koulouriotis, An expanded HAZOP-study with fuzzy-AHP (XPA-HAZOP technique): Application in a sour crude-oil processing plant, Safety Science, vol. 124, pp. 1-14, 2020.
X. Yang, S. Haugen and N. Paltrinieri, Clarifying the concept of operational risk assessment in the oil and gas industry, Safety Science, vol. 108, pp. 259-268, 2018.
K. T. Nguyen and K. Medjaher, A new dynamic predictive maintenance framework using deep learning for failure prognostics, Reliability Engineering & System Safety, vol. 188, pp. 251-262, 2019.
Zaman, M., Priyanta, D., Siswantoro, N., Implementation of AIS for Ship's Collision Analysis: Case Study, (2020) International Journal on Engineering Applications (IREA), 8 (6), pp. 249-255.
S. Rahmad S. H., Priharanto Y. E. and A. M. Zaki Latif, Failure Mode and Effect Analysis (FMEA) Applied for Risk Assessment of Fuel Oil System on Diesel Engine of Fishing Vessel, ARPN Journal of Engineering and Applied Science, vol. 13(21), pp. 8414-8420, 2018.
B. Goo, J. Lee, S. Seo, D. Chang and H. Chung, Design of Reliability Critical System Using Axiomatic Design with FMECA, International Journal of Naval Architecture and Ocean Engineering, vol. 11, no. 1, pp. 11-21, 2019.
E. Akyuz and E. Celik, A Quantitative Risk Analysis by Using Interval Type-2 Fuzzy FMEA Approach: The Case of Oil Spill, Maritime Policy & Management, vol. 45, pp. 979-994, 2018.
Santoso, A., Semin, S., Sampurno, B., Cahyono, B., Zaman, M., New Development of Piston Crown for Dual Fuel Diesel Engine to Improve Efficiency and Reduce NOx Emissions: a Review, (2020) International Journal on Engineering Applications (IREA), 8 (1), pp. 1-7.
Di Nardo, M., Clericuzio, M., Murino, T., Madonna, M., An Adaptive Resilience Approach for a High Capacity Railway, (2020) International Review of Civil Engineering (IRECE), 11 (3), pp. 98-105.
S. Gerassis, M. T. D. Albuquerque, J. F. Garcia, C. Boente, E. Giráldez, J. Taboada and J. E. Martín, Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering, Reliability Engineering & System Safety, vol. 188, pp. 195-204, 2019.
E. Petritoli, F. Leccese and L. Ciani, Reliability and Maintenance Analysis of Unmanned Aerial Vehicles, Sensors, vol. 18, no. 9, pp. 1-16, 2018.
W.-C. Jung, P.-K. Jung, H.-M. Moon, M.-H. Chang, S.-H. Yun, H.-G. Lee, M.-W. Hwang and I.-S. Woo, Hydrogen breakthrough behaviors for cryogenic adsorption and HAZOP study, Fusion Engineering and Design, vol. 134, pp. 123-127, 2018.
Y. Meng, X. Song, D. Zhao and Q. Liu, Alarm management optimization in chemical installations based on adapted HAZOP reports, Journal of Loss Prevention in the Process Industries, vol. 72, 2021.
M. Danko, J. Janošovský, J. Labovský and Ľ. Jelemenský, Integration of process control protection layer into a simulation-based HAZOP tool, Journal of Loss Prevention in the Process Industries, vol. 57, pp. 291-303, 2019.
T.-t. Gao and S.-m. Wang, Fuzzy Integrated Evaluation Based on HAZOP, Procedia Engineering, vol. 211, pp. 176-182, 2018
C. H. Lim, S. Lim, B. S. How, W. P. Q. Ng, S. L. Ngan, W. D. Leong and H. L. Lam, A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach, Renewable and Sustainable Energy Reviews, vol. 135, pp. 1-19, 2021.
D. Arena, F. Criscione and N. Trapani, Risk Assessment in a chemical plant with a CPN-HAZOP Tool, IFAC-PapersOnLine, vol. 51, no. 11, pp. 939-944, 2018.
J. I. Single, J. Schmidt and J. Denecke, Ontology-based computer aid for the automation of HAZOP studies, Journal of Loss Prevention in the Process Industries, vol. 68, pp. 1-17, 2020.
R. Wang and J. Wang, Risk Analysis of Out-drum Mixing Cement Solidification by HAZOP and Risk Matrix, Annals of Nuclear Energy, vol. 147, pp. 1-10, 2020.
J. Lee, A. Shigrekar and R. A. Borrelli, Application of hazard and operability analysis for safeguardability of a pyroprocessing facility, Nuclear Engineering and Design, vol. 348, pp. 131-145, 2019.
S. Zou, K. Ya, D. Tang, Z. Guo and S. Xu, Risk analysis of high level radioactive waste storage tank based on HAZOP, Annals of Nuclear Energy, vol. 119, pp. 106-116, 2018.
J. I. Single, J. Schmidt and J. Denecke, State of research on the automation of HAZOP studies, Journal of Loss Prevention in the Process Industries, vol. 62, pp. 1-15, 2019.
R. A. Viegas, F. d. A. d. S. Mota, A. P. C. S. Costa and F. F. P. d. Santos, A multi-criteria-based hazard and operability analysis for process safety, Process Safety and Environment Protection, vol. 144, pp. 310-321, 2020.
R. Mokhtarname, A. Safavi, L. Urbas, F. Salimi, M. Zerafat and N. Harasi, Toward HAZOP 4.0 Approach for Managing the Complexities of the Hazard and Operability of an Industrial Polymerization Reactor, IFAC-PapersOnLine, vol. 53, no. 2, pp. 13593-13600, 2020.
H. Hadef, B. Negrou, T. G. Ayuso, M. Djebabra and M. Ramadan, Preliminary hazard identification for risk assessment on a complex system for hydrogen production, International Journal of Hydrogen Energy, vol. 45, no. 20, pp. 11855-11865, 2020.
P. Baybutt, Metrics and analytics for process hazard analysis, Journal of Loss Prevention in the Process Industries, vol. 68, 2020.
N. Hyatt, Guideline for Process Hazards Analysis, Hazards Indentification & Risk Analysis, Kanada: Dyadem Press, CRC Press, 2004.
API, API RECOMMENDED PRACTICE 581 - RISK-BASED INSPECTION METHODOLOGY, Washington DC: API Publishing Services, 2016.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize