MARC details
| 000 -LEADER |
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| fixed length control field |
03792ntm a2200289 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000098230 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251117113330.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
161201s2016 my da f abm 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0001410(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201905211219 |
| Level of effort used to assign nonsubject heading access points |
asmadi |
| Level of effort used to assign subject headings |
201710121536 |
| Level of effort used to assign classification |
aishah |
| Level of effort used to assign subject headings |
201612011206 |
| Level of effort used to assign classification |
saini |
| -- |
201612011204 |
| -- |
saini |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTeK .O93 2016 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Ouache, Rachid |
| 245 10 - TITLE STATEMENT |
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| Title |
Development of mathematical models for quantitative risk and safety assessment in oil and gas refineries / |
| Statement of responsibility, etc. |
Rachid Ouache |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxv, 262 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Engineering Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2016 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Bibliography : p. 234-255 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Risk assessment is a systematic process to identify hazards, analyze and evaluate the risks associated with hazards that can harm the workers, people, environment or properties using qualitative, semi-quantitative or quantitative approach to determine the appropriate ways to eliminate or control the hazards. Quantitative risk assessment (QRA) is an effective approach used in petrochemical industries to estimate the likelihood of an accident and the severity of its consequence. However, uncertainty is still the main problem faces quantitative risk assessment in spite of its significant progress. Therefore, this thesis proposes mathematical models to address the uncertainties of quantitative risk assessment as follows: i) reliability guide analysis (REGUIA) is developed to identify the main components of accident scenarios and to determine the factors which can affect the failure probabilities, ii) human reliability model based on five matrices with mathematical equations is developed to determine the level of human reliability and to precise probability of human error, iii) characteristics of hazard analysis based on logic factors intermediates (KHALFI), linear and nonlinear models are three models developed to determine the failure probability of the events at any geographical location, considering the factors: temperature, humidity and wind speed where root mean square error (RMSE) of the three developed models are 2.38E-5, 2.10 and 1.94, respectively, iv) risk and safety models to analyze the accident scenarios based on Bowtie method and Bayesian network with new classification of safety integrity level with mathematical equation are developed, v) probability binary state is employed to define the range of failure probability, vi) probability determination (PRODET) is a mathematical model developed in this study to determine the exact probability of the equipment at the specific operation time, vii) occurrence time (OT) is also developed to find the required time for the event to occur, viii) risk matrix model with mathematical equations are developed to compute the level of risk. Finally, Simulink model is developed to implement the developed models to automate the calculation and to facilitate the analysis of the results with graphical representation of the inputs and the outputs. The results show plausible and reliability of the models and demonstrate that the developed models are more reliable and precise than the classical models. The results of risk and safety analyses revealed that 86% of the basic events on average gained 180% increased reliability. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and Colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://ecollib.ump.edu.my/3489/">http://ecollib.ump.edu.my/3489/</a> |
| Public note |
Library access only |