Presenting a model to increase the accuracy of estimating the approximate rate of insurance risk

Number of pages: 0 File Format: Not Specified File Code: 30210
Year: Not Specified University Degree: Not Specified Category: Management
Tags/Keywords: risk
  • Part of the Content
  • Contents & Resources
  • Summary of Presenting a model to increase the accuracy of estimating the approximate rate of insurance risk

    Dissertation for receiving Master of Business Administration with financial orientation

    (M.A)

    Abstract

    Since its introduction, the RBI method has found its place at the level of international oil, gas and petrochemical companies, and many studies have been conducted in this regard. And the results of this research have not been implemented in a systematic way, and these results have not been used to determine the insurance rate so far.

    The important outputs of all the studies conducted in this research, apart from the type of methods used by RBI, are as follows.

    In most industrial units, more than 80% of the risk of the entire unit is related to only 20% of the unit's equipment and parts.

    The study has reduced the number of annual overhauls and postponed them from 2013 to 2015, and as a result, the costs of halting production to carry out overhauls, inspection costs and manpower costs have been reduced. Risk-based inspection is a method to detect the time of repairs and the inspection of each equipment separately in two categories: a) during the normal production of the unit and b) during the major repairs of the unit.

    Introduction

    After 78 years of the history of the insurance industry in our country, insurance has still not reached its main position in the economy and in most cases it remains at the level of compulsory insurance, which can be clearly seen even among the educated and wealthy sections of the society.

    In addition to the insurance related to people, the insurance related to the main industries has not been fully defined and identified in the market of our country, and perhaps there are many big risks that due to the use of very old and traditional methods and the lack of sufficient and correct information, the field of insuring them in economic activities has not been provided.

    In this research, an effort has been made to provide accurate and correct identification of insurable risk in the oil and gas and petrochemical industries by using the RBI method in order to determine insurance premiums more accurately. Statement of the problem

    By carrying out an inspection in the industry, it is possible to determine in advance the points of conditions that can lead to the occurrence of irreparable accidents in terms of damage to people, equipment and the environment. Also, by performing a technical inspection, the destruction mechanisms can be identified, monitored and measured, and the time when the defect (failure) turns into a critical point can be determined.

    Undoubtedly, today, increasing attention has been paid to the category of risk and risk-based methods to develop inspection, maintenance and management strategies in oil, gas, petrochemical process industries and power plant industries all over the world, including Iran. Risk-based inspection technology [1] gives industry owners the ability to consider a range of key factors, such as the level of reliability of equipment, as well as safety, health and environment [2] and financial issues in their decision-making processes. The use of risk-based inspection provides a tool for continuous improvement of equipment inspection programs and will lead to their systematic reduction. It is also possible to use the results of the risk-based inspection as a tool for the annual planning of organizations. In such a way that it is possible to determine the resources and budget necessary for the performance of the equipment at acceptable levels of risk and efficiency.

    Risk-based inspection is a management tool for identifying and prioritizing risks related to systems under pressure and providing an inspection plan based on calculated risks. In fact, the use of risk analysis is to manage industrial equipment inspection programs.

    In short, in the RBI technique, the probability and consequence of failure of pressure equipment is first calculated and the risk is obtained from the product of these two factors (i.e. probability and consequence). Then, based on the size of the obtained risk, the equipment is prioritized and the inspection program is defined for them.. In this technique, unlike traditional inspection programs that are either based on the opinion of the manufacturer or standard (Fixed Interval) or according to the conditions that the equipment has gone through (Condition Base), but taking into account the probability of failure that generally looks back and the history of the equipment in the past (Reactive), a fixed time interval is not defined for equipment inspection, but each device has a separate time interval and program for inspection.

    Applying the general principles of risk analysis In order to prioritize and manage inspection programs, which is referred to as RBI today, it is one of the most recent applications of risk principles, which examines the probability and severity of the consequences of failure of the relevant equipment with a preventive view [1].

    In this method, unlike traditional inspection methods, a fixed time interval is not defined, but a specific time interval and inspection method are determined for each device. By using risk-based inspection, while avoiding repeated inspections, inspection facilities and capabilities can be focused on devices with higher risk.

    In short, the advantages of using the RBI method are: increasing the safety and reliability of equipment, reducing unplanned stops of the unit, reducing technical inspection costs and the risk of failure, accurate planning of technical inspection and repairs, increasing the distance between technical inspections and periodic repairs, as well as increasing teamwork and using different points of view.

    The application of risk-based inspection in the inspection of refinery and petrochemical equipment was started by several companies in the late 1980s and was published in written form for the first time in 2013. The cornerstone of a joint industrial project with the support of 21 refining and petrochemical companies was established in 1993 under the supervision of the American Petroleum Institute[2] in order to develop risk-based inspection guidelines for use in the petroleum industry.

    1-2. Research Background

     

    Syed Javad Hashemi and colleagues (2009) achieved a coherent system of equipment integrity management using software through the method of establishing risk-based inspection in the atmospheric distillation unit of Abadan refinery. The output of this study was to achieve an integrated management system for equipment based on the risk-based inspection strategy and its benefits in terms of economic savings, safety issues, and centralization of inspection programs. [1]

    Mr. Jian Shuai et al. (2011) studied the RBI of large crude oil storage tanks and found that the dominant results of the periodic internal inspection method are below the inspection level or above the inspection level. Therefore, how to rationally determine (acceptable) internal inspection distance, in order to balance the needs of safe operation and inspection cost for crude oil tanks, has been very significant. In this study, risk-based inspection technology (RBI) was used to quantitatively assess the risk of crude oil tanks and oil storage in China. Comparing the risk between the tank wall and its bottom shows that the tank's risk depends on its bottom. In this study, the instructions for predicting the internal inspection distance [1] for crude oil tanks are also available. The internal inspection interval predicted by the RBI method has gradually expanded with the increase of the acceptable level of risk, and finally this method was proposed to determine the acceptable risk of crude oil tanks, and the number 3.45 x 10-4 was determined as the acceptable risk of the oil tank. The number 0.8 was suggested as a safety factor for the final determination of the internal inspection interval for 18 crude oil tanks.

    The internal inspection interval in China is a requirement of 5 to 7 years, which is very conservative and lower than the predicted service time of the tank. The internal inspection interval calculated by the Gumbel method is shorter than the RBI calculated method for tanks with a shorter internal inspection interval, this paper recommends a risk-based inspection method to predict Internal inspection distance should be used for crude oil tanks. [2]

    Ting Jun Yang (2010) studied risk-based inspection on light polyethylene unit equipment and concluded that about 8% of pressurized equipment and lines contain 90% of the risk of polyethylene pressurized equipment. In this study, the basis for creating an inspection strategy after identifying high-risk equipment was provided. The method used in this study is qualitative RBI and it uses 5x5 matrix.

  • Contents & References of Presenting a model to increase the accuracy of estimating the approximate rate of insurance risk

    List:

    List of thesis contents

    Title                                             Page number  

    Abstract 1.

    Introduction 2.

    Chapter one: General 1.1 Statement of the problem 4. Background of the research 5. Necessity of doing it 8. The purpose of the study 8. 1-4-1 Ideal goal 8. 1-4-2 Special goals 8. 1-5 User goal 8. 1-6 Research questions 9.

    1-7 hypothesis 9

    1-8 definitions and concepts 10

    The second chapter: Introduction to the production process

    2-1 Introduction to the area under study.

    2-2 History of petrochemical industry in Iran

     

    Title                                                                                                                                                                                                                                            . 20

    2-5 di-ethanizer section. 24

    2-5-1 separation of carbon dioxide fragments. 24

    2-5-2 acetylene hydrogenation. 25

    2-5-3 catalyst reduction. 26

    Chapter three: Materials and methods (work and research method) 3-1 types of inspection techniques on risk analysis 29 3-1-1 qualitative method 3-1-1-1 ranking of units based on potential risk 31 3-1-1-2 probability of failure 32 3-1-1-3 consequences of failure 33.

    3-1-1-4 results. 37

    3-1-1-5 determination of critical areas that require more attention during inspection

    3-1-2-1-1 Estimation of fluid exit speed. 40

    3-1-2-1-2 Prediction of leakage behavior.

    Title                                       Page number

    3-1-2-1-2-3 environmental effects. 41

    3-1-2-1-2-4 effects of financial damage caused by stopping production. 42

    3-1-2-1-3 application of impact models to estimate the consequences. 42

    3-1-2-2 an overview of the possibility of failure 43. 3-1-2-3 risk calculation. 43

    3-1-3 semi-quantitative method. 44

    3-1-3-1 consequence analysis. 45

    3-1-3-2 probability analysis. 48

    3-1-3-3 risk analysis. Research 49. 3-3 presentation (work method) of the risk-based inspection methodology used in the studied industry 50. 3-3-1 flowchart introducing the method used for risk-based inspection management 50. 3-3-2 key elements of the risk-based inspection management program and its steps 51. 3-3-2-1 First step: Forming the RBI team. 52. 3-3-2-1-1 Determining responsibilities. 53. 3-3-2-1-2. Training and confirming the qualifications of personnel for the implementation of RBI. 56. 3-3-2-2 The second stage: Gathering the required data in the system. Risk assessment. 57. 3-3-2-2-1. Site-specific data sources (production units). 59.

    Title  Equipment risk determination process. 60

    3-3-2-3-1 consequence of failure. 60

    3-3-2-3-1-1 safety consequence factor (Csaf). 61

    3-3-2-3-1-1-1 temperature parameter (Ft). 61

    3-3-2-3-1-1-2 pressure parameter (Fp)

    3-3-2-3-1-3-1 repair factor (Frep).64

    3-3-2-3-1-3-2 operability factor (Fop).65

    3-3-2-3-2 probability of failure.65

    3-3-2-4 Fourth step: Ranking of equipment based on the amount of risk (Risk Ranking). 75 3-3-2-5 Fifth step: Planning for inspection. 76

    3-3-2-5-1 Maximum inspection time interval (when to perform inspection). 77

    3-3-2-5-2 Inspection methods (how to perform inspection). 78

    3-3-2-5-3 list of inspection measures (checklist) / detailed assessment. 79

    3-3-2-6 Sixth step: Risk management and reduction. 79

    3-3-2-7 The seventh step: Re-evaluation80

    Page Number Title

    Chapter Four: How to Implement the proposed RIB model on the study unit (Drama 406)

    Step One: Forming RBI.82 Team

    Step 2: Collection and data.

    Third step: Determining the risk of equipment. 85

    Fourth step: Ranking equipment based on their risk. 86

    Fifth step: Planning for inspection. 86

    Sixth step: Risk reduction management. 87

    Seventh step: Re-evaluation.

    5-1 Conclusion from the presented methodology

    Sixth chapter: interpretation of results

    6-1 summary and general interpretation of results.120

    6-2 suggestions.123

    Source:

    List of references

    1- Javadpour Syros, Hashemi Seyed Javad, Nazarnejad Mohammad "Inspection Technology Based on Risk", Asr Javan Publication, 2007.

    2- Faramz Prizi, "A Look at the Successful Partnership Polymer Company Ariassol in the Petrochemical Industry", Erman Andishan Vira Publication, Spring 2010 Edition.

    3- Pourmohamed Kamran, Hamid Amirian, "Description of the Alfin Unit Process of the 9th Alfin Complex", Winter 2013.

    [4] Hashemi. Seyed Javad, Implementation of risk based inspection methodology in managing integrity of Abadan Refinery pressurized production facilities, The2nd International conference on technical inspection and NDT, October 2008

    [5] Han Kejiang, Shuai Jian, Xu Xuerui, "Risk-based inspection for large-scale crude oil tanks", Journal of Loss Prevention in the Process Industries 25 (2012) 166-175

    [6] Yan Tingjun, Risk Based Inspection on the equipment of low density polyethylene, Journal of Procedia Engineering 15 (2011) 1145-1148

    [7] Hwanga Wen-Tsung, Wen Tiena Shiaw, Tsa Chih-Hung, Study of a risk-based piping inspection guideline system, Avalebel online at sciencedirect, ISA Transaction 46 (2006) 119-126

    [8] Chien. Chi-Hui, Hung Chen. Chun, Chao.YubJ, A strategy for the risk-based inspection of pressure safety valves, Journal of Reliability Engineering and System Safety, 94 (2009) 810-818

    [9] American Petroleum Institute, First Edition May 2000: "Risk Based Inspection Base Resource Document", API 581.

    [10] Li, H. B, "Development of large-size oil tanks. Petroleum Refinery Engineering", (1996), 26(6). 24e26

    [11] Conley M, Integrating risk-based inspection into risk management plans, Process Saf prog 2005; 24(4):236-43

    [12] Bai, M., & Liu, Z. W, "Economic benefit analysis of large-scale oil tank", Petroleum Engineering Construction, (1995) 1(6), 8e10.

    [13] American Petroleum Institute, First Edition 2008: "Risk Based Inspection Base Resource Document", AP1 581.

    [14] Han, K. & J Shuai, J. "The remaining life prediction and INTII analysis for large-scale crude oil storage tank", In Proceedings of the 8th international pipeline conference, (2010), Calgary, Alberta, Canada.

    [15] LI Bing, SONG Guo-yu, Application of RBI Technology on Hydrogenation Unit, Journal of Liaoning University of Petroleum & Chemical Technology, 2010.

    [16] American Petroleum Institute, Second Edition November 2009: "Risk-Based Inspection", API 580.

    [17] Sasolburg Site Procedure, SSP-EM007 Rev.1, "Risk-Based Inspection"

    [18] Chang RR. Study for remaining life estimation of localized and high temperature corrosion and inspection strategy for piping of refinery plant, Doctoral dissertation. Yunlin (Taiwan): Institute of Engineering Science & Technology, National Yunlin University of Science and Technology; 2004.

    [19] Baughman H, Eckhardt P, Leonard CR, Merrick EA, Risk-based methods to optimize maintenance work scope. Oil & Gas Journal, 1999;97:47-52.

    [20] Chang RR. Study for remaining life estimation of localized and high temperature corrosion and inspection strategy for piping of refinery plant, Doctoral dissertation.

Presenting a model to increase the accuracy of estimating the approximate rate of insurance risk