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Academic literature on the topic 'Principle of Integrated Dynamic Risk Assessment'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Principle of Integrated Dynamic Risk Assessment"

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Xu, Bin, Tao Zhang, Feng Qi Wu, and Zhen Rong Yan. "Fatigue Life Assessment of a Ship Unloader Crane." Advanced Materials Research 945-949 (June 2014): 1086–89. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1086.

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Ship unloader crane was widely used in transportation, and uploaded or unloaded cargoes from ships, which could influence efficiency and benefits of transportation greatly. In order to improve the reliability and safety, and decrease its risk in working flow, a method of fatigue life assessment was proposed in this paper. According to related standards and properties of risk, finite element method and experimental stress analysis were integrated to assess the working condition of a ship unloader crane. Finite element models of primary structures subjected to loads were built to achieve dynamic properties, which could supply a basic reference to experiment and guidance to locate the tested positions. Afterwards, wireless dynamic resistance strain-gauges were adopted to execute static and dynamic stress, and the tested results combined with finite element analysis were applied to strength analysis. Based on nominal stress and Miner principle, rainflow method was developed to fatigue life assessment of this ship unloader crane. The final results indicated that residual life of this crane was 4.67 years.
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Shkola, V. Y., O. V. Prokopenko, and V. A. Omelianenko. "Transformation of the Emergency Risk Management Methodology Based on the Conception of Sustainable Innovation Proactivity: The Global and Local Dimensions." Business Inform 9, no. 524 (2021): 13–21. http://dx.doi.org/10.32983/2222-4459-2021-9-13-21.

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The article is aimed at improving fundamental methodological approaches to the system of emergency risk management on the basis of the conception of sustainable innovation proactivity, which will allow to prevent and respond in a timely manner to various kinds of destructive phenomena, will contribute to ensuring/increasing the stability and security of economic systems in the face of modern global challenges and threats (both actual and potential). As result of the research, the essence of the main categories of risk management theory is deepened; the influence of various types of global risks in dynamics is analyzed (in the short, medium and long term); the extant approaches to risk management are generalized and systematized; the authors’ own structure of the risk management process is proposed. The methodology for determining the status of economic system, a methodical approach to comprehensive risk assessment based on the theory of sustainability and the theory of complex systems are improved; the principle of integrated risk assessment based on an integrated approach to the assessment of challenges and threats through the synergy of economic, diplomatic, human, international, legal, political, and cultural dimensions of security is determined. Prospect for further research is the development of a theoretical-methodical approach to the choice of strategies and instruments to counter the challenges and threats in Ukraine under unstable socio-economic conditions, taking into account changes in the security environment and in the potential of national economies.
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Al Sharif, Reem, and Shaligram Pokharel. "Risk Analysis with the Dempster–Shafer Theory for Smart City Planning: The Case of Qatar." Electronics 10, no. 24 (December 10, 2021): 3080. http://dx.doi.org/10.3390/electronics10243080.

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Smart cities support the enhancement of the quality of life of their residents, for which the use of a robust integrated platform of information and communication technology is required. However, not all cities have similar technology infrastructure and a similar understanding of the quality of life. Therefore, holistic planning, resource support, security, continuous updates, and dynamic operational enhancements should be considered while planning smart cities. However, a smart city could be vulnerable to security threats and a loss of personal or classified information due to the complexity of technology integration. Therefore, understanding and assessing different risks and embedding risk management mechanisms would be required to minimize vulnerability exposure in smart cities. This paper proposes a risk assessment method using the Dempster–Shafer theory for smart city planning. The Dempster–Shafer theory is used here to analyze the risks perceptions of experts. The principal component analysis method is used to analyze the data obtained from risk assessment. The application of this method is determined through a smart city test case in Qatar.
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Bezrukova, Galina A., Mikhail V. Pozdnyakov, and Tamara A. Novikova. "The use of digital technologies in social and hygienic monitoring of the health status of workers in harmful working conditions." Hygiene and sanitation 100, no. 10 (October 31, 2021): 1157–62. http://dx.doi.org/10.47470/0016-9900-2021-100-10-1157-1162.

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Introduction. To increase the effectiveness of social and hygienic monitoring of the health status of workers in harmful and/or dangerous occupation conditions by objectifying the analysis of the health status of workers and timely detection of premorbid forms of pathology, an informational medical advisory and diagnostic system is proposed that ensures the efficiency of using the previously developed methodological recommendations MR 2.2.9.0148-19 “Assessment of the risk of developing states of distress in workers in harmful working conditions”. Materials and methods. The design of the developed computer program is based on the principles of critical assessment of the employee’s health status; multiparametric characteristics of the functional reserves of the body; unity of the information base; the possibility of dynamic monitoring of the health status of employees; automation of data storage and analysis; protection of personal data. Results. The method used by the information system is based on a comprehensive assessment of the functional reserves of the body, correlated by the degree of adaptive stress, including the ranking of the employee health status according to the group of dispensary records, the indicator of adaptive compliance and the level of adaptive immunity. To facilitate the operator’s information support system integrated the List of harmful and (or) hazardous occupation factors, the presence of which is a mandatory preliminary and periodic medical examinations (surveys) and reference weight values, heart rate and blood pressure corresponding to the physiological norm concerning gender and age of the employee. Conclusion. The proposed information system can be used during periodic medical examinations to form risk groups for the development of occupational and production-related morbidity, as well as to assess the effectiveness of hygienic and therapeutic and preventive measures aimed at improving the health of workers in harmful occupation conditions.
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Shuvaiev, A. A. "Organizational and Functional Structure of the System of Information and Analytical Management of Construction Waste Streams." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 4(94) (August 17, 2021): 69–78. http://dx.doi.org/10.15802/stp2021/245674.

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Purpose. The main purpose of the work is to define and substantiate the principles, functional requirements and objectives of the implementation of information and analytical support for the management of waste streams of construction and wracking as secondary resources; development of the organizational and functional structure of the information-analytical management system, which would satisfy the conditions for the introduction of a logistical approach within the framework of integrated management of construction waste streams and became the basis for creating a single information platform. Methodology. As a methodological basis for the research of the process of managing the secondary resources streams and reversible streams in the construction industry, a logistic approach is used. It involves the analysis of factors influencing the system and study of its dynamic behavior as a complex adaptive system. The system approach in the development of information-analytical management systems involves solving the following tasks: development of a functional model of the management system of construction and wracking waste streams; construction of interaction matrices of automated processes and data routing processes; modeling the logical architecture of the data warehouses; development of a software and hardware set. Findings. The main tasks of developing information support for the logistics management system of construction and wracking waste streams are substantiated. The integration into the system of the following functional blocks is proposed: database formation; block for estimating the total economic costs of the process; environmental damage assessment blocks; information risk assessment; evaluation of alternative methods of waste stream management; optimal route formation block; visualization block. Based on the generalization of requirements and possibilities of the functionality analyzed information-analytical systems and requirements which would provide efficiency of construction waste streams management, the organizational-functional structure of the system of information-analytical management is proposed. Originality. The work gives reasons for the inclusion in the list of functional blocks of the organizational and functional structure of the information-analytical management system, which should be the basis for creating an information platform for the management of construction and wracking waste streams, environmental and information risk assessment. Practical value. Implementation within the information-analytical management of environmental damage assessment (as part of the efficiency assessment of the construction waste streams) and information risk assessment (as a tool of logistical approach) will provide the ability to predict key system indicators, make optimal decisions aimed at maximum inclusion of construction waste streams in the system as a potential secondary raw material, a sufficient level of economic and environmental efficiency with the optimal level of logistics costs.
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Marhany, Khaled. "An Integrated Risk Assessment Approach andApplication to Dynamic PositioningSystem." Port-Said Engineering Research Journal 19, no. 1 (March 1, 2015): 82–89. http://dx.doi.org/10.21608/pserj.2015.36754.

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Labeau, P. E., C. Smidts, and S. Swaminathan. "Dynamic reliability: towards an integrated platform for probabilistic risk assessment." Reliability Engineering & System Safety 68, no. 3 (June 2000): 219–54. http://dx.doi.org/10.1016/s0951-8320(00)00017-x.

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Jame, Y. W., and H. W. Cutforth. "Crop growth models for decision support systems." Canadian Journal of Plant Science 76, no. 1 (January 1, 1996): 9–19. http://dx.doi.org/10.4141/cjps96-003.

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Studies on crop production are traditionally carried out by using conventional experience-based agronomic research, in which crop production functions were derived from statistical analysis without referring to the underlying biological or physical principles involved. The weaknesses and disadvantages of this approach and the need for greater in-depth analysis have long been recognized. Recently, application of the knowledge-based systems approach to agricultural management has been gaining popularity because of our expanding knowledge of processes that are involved in the growth of plants, coupled with the availability of inexpensive and powerful computers. The systems approach makes use of dynamic simulation models of crop growth and of cropping systems. In the most satisfactory crop growth models, current knowledge of plant growth and development from various disciplines, such as crop physiology, agrometeorology, soil science and agronomy, is integrated in a consistent, quantitative and process-oriented manner. After proper validation, the models are used to predict crop responses to different environments that are either the result of global change or induced by agricultural management and to test alternative crop management options.Computerized decision support systems for field-level crop management are now available. The decision support systems for agrotechnology transfer (DSSAT) allows users to combine the technical knowledge contained in crop growth models with economic considerations and environmental impact evaluations to facilitate economic analysis and risk assessment of farming enterprises. Thus, DSSAT is a valuable tool to aid the development of a viable and sustainable agricultural industry. The development and validation of crop models can improve our understanding of the underlying processes, pinpoint where our understanding is inadequate, and, hence, support strategic agricultural research. The knowledge-based systems approach offers great potential to expand our ability to make good agricultural management decisions, not only for the current climatic variability, but for the anticipated climatic changes of the future. Key words: Simulation, crop growth, development, management strategy
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Adedigba, Sunday A., Faisal Khan, and Ming Yang. "An integrated approach for dynamic economic risk assessment of process systems." Process Safety and Environmental Protection 116 (May 2018): 312–23. http://dx.doi.org/10.1016/j.psep.2018.01.013.

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Panasenko, Nataliia, Olha Myrna, and Alla Svitlychna. "Integrated assessment of the corruption level in the world." Economic Annals-ХХI 191, no. 7-8(1) (August 10, 2021): 4–15. http://dx.doi.org/10.21003/ea.v191-01.

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The methodology of assessing the level of corruptibility of the society occupies an important place in the strategic programs of anti-corruption activities. The obtained rating indicators reflect the dynamics of corruption in the country, and the change of the state’s position in the ranking show the efficiency of anti-corruption policy. Since the data of obtained ratings differ significantly, the urgent scientific problem is to combine them in a single integral assessment. The authors have developed a methodology of integral assessment of the level of corruption in the country and evaluated the influence of different social and economic factors on it. Integral assessment was carried out on the basis of initial indicators Corruption Perception Index, Index of Economic Freedom, World Government Indicator, Doing Business, Political Risk Services International Country Risk Guide. We have used the method of modified principal component to determine gross coefficients of the above indicators in the integral assessment. The following indicators were found to have a significant impact on the level of corruption: human development index, education index, GDP per capita, coefficient of human inequality, employment to population ratio, unemployment. A multi-factor model has been developed that makes it possible to evaluate the efficiency of anti-corruption measures taken.
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Dissertations / Theses on the topic "Principle of Integrated Dynamic Risk Assessment"

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Picoco, Claudia. "Integrated Framework for Representing Recoveries Using the Dynamic Event Tree Approach." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu155550242815033.

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Кузнєцова, Наталія Володимирівна. "Методи і моделі аналізу, оцінювання та прогнозування ризиків у фінансових системах." Doctoral thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/26340.

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Роботу виконано в Інституті прикладного системного аналізу Національного технічного університету України «Київський політехнічний інститут імені Ігоря Сікорського».
У дисертаційній роботі розроблено системну методологію аналізу та оцінювання фінансових ризиків, яка ґрунтується на принципах системного аналізу та менеджменту ризиків, а також запропонованих принципах адаптивного та динамічного менеджменту ризиків. Методологія включає: комбінований метод обробки неповних та втрачених даних, ймовірнісно-статистичний метод оцінювання ризику фінансових втрат, динамічний метод оцінювання ризиків, який передбачає побудову різних типів моделей виживання, метод структурно-параметричної адаптації, застосування скорингової карти до аналізу ризиків фінансових систем і нейро-нечіткий метод доповнення вибірки відхиленими заявками. Містить критерії урахування інформаційного ризику, оцінки якості даних, прогнозів та рішень, квадратичний критерій якості опрацювання ризику та інтегральну характеристику оцінювання ефективності методів менеджменту ризиків. Практична цінність одержаних результатів полягає у створенні розширеної інформаційної технології та інформаційної системи підтримки прийняття рішень на основі запропонованої системної методології.
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Book chapters on the topic "Principle of Integrated Dynamic Risk Assessment"

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Demichela, Micaela, and Norberto Piccinini. "Integrated Dynamic Decision Analysis (IDDA): an Advanced Tool for Risk Analysis." In Probabilistic Safety Assessment and Management, 2956–61. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_473.

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Lolli, Francesco, Antonio Maria Coruzzolo, Giulia Alessandro, Elia Balugani, Maria Angela Butturi, Samuele Marinello, and Simona Marinelli. "The Dynamic, Individual and Integrated Risk Assessment: A Multi-criteria Approach Using Big Data." In Advances in Safety Management and Human Performance, 207–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80288-2_25.

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Inoue, Hidemasa, Takashi Ito, Ömer Aydan, and Naohiko Tokashiki. "An Integrated Study on the Risk Assessment of Abuchiragama Karstic Underground Shelter (Japan) Under Static and Dynamic Conditions." In Challenges and Innovations in Geomechanics, 377–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64518-2_45.

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Dennis, M., M. Modarres, and A. Mosleh. "Framework for assessing integrated site risk of small modular reactors using dynamic Probabilistic Risk Assessment simulation." In Safety and Reliability of Complex Engineered Systems, 687–93. CRC Press, 2015. http://dx.doi.org/10.1201/b19094-94.

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Di Maio, Francesco, and Enrico Zio. "Dynamic Accident Scenario Generation, Modeling and Post-Processing for the Integrated Deterministic and Probabilistic Safety Analysis of Nuclear Power Plants." In Advanced Concepts in Nuclear Energy Risk Assessment and Management, 477–504. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813225619_0013.

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Du, Shanshan, Ye Xue*, Xiaodong Ji, Xueyu Xie, Chongyi Xue, and Huiwen Wang. "Study on integrated loss assessment of earthquake-flood disaster in Yunnan Province based on dynamic spatial panel." In Risk Analysis Based on Data and Crisis Response Beyond Knowledge, 174–81. CRC Press, 2019. http://dx.doi.org/10.1201/9780429286346-25.

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Jin, Shangzhu, Jike Ge, and Jun Peng. "A New Fuzzy Rule Interpolation Approach to Terrorism Risk Assessment." In Violent Extremism, 351–72. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7119-3.ch019.

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Terrorist attacks launched by extremist groups or individuals have caused catastrophic consequences worldwide. Terrorism risk assessment therefore plays a crucial role in national and international security. Fuzzy reasoning based terrorism risk assessment systems offer a significant potential of providing decision support in combating terrorism, where highly complex situations may be involved. Nevertheless, little has been done in developing and applying an integrated hierarchical bidirectional (forward/backward) fuzzy rule interpolation mechanism that is tailored to suit decision support for terrorism risk assessment. This paper presents such an integrated approach that is capable of dealing with dynamic and insufficient information in the risk assessing process. In particular, the hierarchical system implementing the proposed techniques can predict the likelihood of terrorism attacks on different segments of focused attention. The results of an experimental investigation of this implemented system are represented, demonstrating the potential and efficacy of the proposed approach.
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Inoue, H., N. Tokashiki, and Ö. Aydan. "An integrated study on the risk assessment of Abuchiragama karstic underground shelter (Okinawa, Japan) under static and dynamic conditions." In 2019 Rock Dynamics Summit, 389–94. CRC Press, 2019. http://dx.doi.org/10.1201/9780429327933-63.

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Zuo, Yanjun, and Wen-Chen Hu. "Trust-Based Information Risk Management in a Supply Chain Network." In Supply Chain Optimization, Management and Integration, 181–96. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-135-5.ch013.

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Information risk management is crucial for an organization operating in an increasingly integrated and intensively communicated environment to mitigate risks and ensure core business functions. Given the open and dynamic nature of a supply chain network, information risk management is challenging and various factors must be considered. This article introduces a trust-based approach to facilitate supply chain participants to perform effective risk management. The major components of the proposed framework include supply chain member trust evaluation, data classification, and trust-based decision making. The major purpose of the framework is to control and mitigate information risks that a participant faces in a supply chain network (e.g., risks to information confidentiality, privacy, and integrity). We apply the principle of transitive trust for trust evaluation and use several decision tools for risk analysis and mitigation.
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Lobnikar, Branko, Catharina Vogt, and Joachim Kersten. "Roadmap Towards an Integrated European Response to Domestic Violence." In Improving Frontline Responses to Domestic Violence in Europe. University of Maribor, University Press, 2021. http://dx.doi.org/10.18690/978-961-286-543-6.19.

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The main goal of the IMPRODOVA project was to find ways to optimise domestic violence intervention and prevention. We found that effective cooperation of front-line responders comes from a common understanding of the problem. When trying to understand the phenomenon thoroughly, we realised that cross-national comparison of domestic violence definitions is a complex undertaking, as different countries use varied definitions. Intimate partner violence, domestic violence and family violence are used across all countries to describe the phenomenon. However, we can observe primarily gender-based definitions in all three front-line responders sectors. One of the promising findings of our analyses is that international standards are relatively well implemented in all the partner countries. For better cooperation of all stakeholders, we developed a training platform on domestic violence and supported it by analysing the possibilities of using the digital communication platform for inter-agency collaboration to address domestic violence adequately. Multidisciplinary cooperation across the sectors in risk assessment and case documentation was mentioned by many countries as a favourable objective, resulting in more dynamic and comprehensive risk assessment processes. That leads to developing a risk assessment tool – the Domestic Violence Risk Assessment Integration Module to achieve a more integrated European response to domestic violence.
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Conference papers on the topic "Principle of Integrated Dynamic Risk Assessment"

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Chorney, Terris, and Denise Hamsher. "The Evolution of Risk Management at Enbridge Pipelines." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-100.

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1999 marks an important anniversary for Enbridge Pipelines Inc. of Canada and its U.S.-based affiliate, the Lakehead Pipe Line Company Ltd.: for 50 years we have been the primary link between the large oil production areas of western Canada and major market hubs in the U.S. midwest and eastern Canada. In retrospect, this strong history of success is chiefly due to thorough and logical planning and choice selection in all aspects of company endeavors. At Enbridge, as in countless other firms in a wide-range of industries, decision making was often the product of expert consensus and years of solid experience in dealing with similar situations. This approach has worked well for Enbridge and our stakeholders for five decades, as evidenced by the reliability, efficiency, and safety record of our pipeline system. However, as the millenium nears, we are increasingly finding formalized processes that integrate quantitative models and qualitative analysis helpful in planning and execution for both the short- and long-term. Several broad trends at the root of this movement include the heightened pace of change; the increasingly complex web of relevant factors; the growing magnitude of the consequences associated with sub-optimal decisions; the need for thorough documentation; and the apparent benefits of a framework that enables objectivity and consistency. In short, an approach that completely and systematically evaluates the multitude of dynamic factors that affect the ultimate outcome of the matter at issue is necessary. Although the term “risk management” is now often used to describe this process, Enbridge — along with many other responsible firms in the pipeline operating and other industries — has always practiced the underlying principles. This paper addresses the background of “risk management” in both the Canadian and U.S. pipeline industry, as well as accepted theory. It also encompasses the progression of risk management at Enbridge Pipelines, up to and including current initiatives. The usefulness of risk analysis, risk assessment, and risk management tools will be discussed, along with the overriding necessity of a well thought-out process, firm corporate commitment, and qualified expertise. Much of the focus will address the ongoing evolution and maturity of a comprehensive and well-integrated risk management program within the Enbridge North American business units. The criticality of maintaining focus on the core business function — in this case, pipeline operations — will also be addressed. In addition, past learning’s as well as future opportunities and challenges will be reviewed.
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Oloke, David. "Improving Structural Safety in the Alteration and Refurbishment of Old Buildings." In IABSE Workshop, Helsinki 2017: Ignorance, Uncertainty, and Human Errors in Structural Engineering. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2017. http://dx.doi.org/10.2749/helsinki.2017.051.

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Building alteration and refurbishment continue to dominate the construction activities in the UK and many developed economies. This is because the need to upgrade older buildings to achieve better functional usage and energy (or even) structural performance standards are continuously required. However, due to the fact that in many cases, such older buildings usually have very little information available on the as-built (or historical modification) status; there is a need to plan the proposed works effectively to ensure that health and safety is not compromised in any way. Structural safety must be assessed before, during and after the works and the need to incorporate this into the work programme is highly essential. This research examines some recent projects in the UK where the author was consultant structural engineer and researcher. It explores the methods used to ensure that structural safety is achieved throughout the works. These principles were incorporated into the project cycles involving the: brief, initial assessment, initial design, initial strip out, construction stage 1, complementary designs, construction stage 2 and project completion and hand over. This strategy is innovative as it facilitated an integrated and systematic approach to the use of risk assessment for structural safety in the light of the dynamic nature of construction refurbishment sites. Key learning points are discussed with a view to contribute to knowledge and engender wider debate in the development of current Guides and Approved Codes of Practice. Issues for further research are also highlighted.
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Du, Shanshan, Ye Xue, Yaolong Liu, and Chenchen Song. "Regional Seismic-Flood Disaster Integrated Risk Assessment Based on Dynamic Spatial Panel." In 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/rac-18.2018.7.

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Fu, Cai, Jihang Ye, Li Zhang, Yunhe Zhang, and Han LanSheng. "A Dynamic Risk Assessment Framework Using Principle Component Analysis with Projection Pursuit in Ad Hoc Networks." In Trusted Computing (UIC/ATC). IEEE, 2010. http://dx.doi.org/10.1109/uic-atc.2010.42.

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Babaleye, Ahmed, Mahdi Khorasanchi, and Rafet E. Kurt. "Dynamic Risk Assessment of Decommissioning Offshore Jacket Structures." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78635.

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The need to develop an integrated dynamic safety and risk analysis model for decommissioning offshore jacket structures is driven by the risky, expensive and complex nature of the operation. Many of the existing risk analysis techniques applicable to offshore assets failed to recognise and capture evolving risks during different stages of the decommissioning operation. This paper describes risk-based safety model to conduct quantitative risk analysis for offshore jacket decommissioning failure. First, a bow-tie technique is developed to model the accident cause-consequence relationship. Subsequently, a Bayesian belief network is used to update the failure probabilities of the contributing elements and thus, provides a more case-specific and realistic safety analysis when compared to the static nature of a bow-tie. This paper also presents the application of experiential learning in the dynamic safety analysis. The proposed technique is tested using a real-life case study from the Shell Brent Alpha platform. An algorithm to limit the effect of generic failure data was also developed. It is observed that the proposed technique helps to identify hazards shortly before they occur and sensitivity analysis revealed the most critical elements of the operation that must be managed to prevent catastrophe and consequently, reduce associated costs of remediation.
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Mustafa, M. Azlan, Siti Syareena M Ali, M. Hamzi Yakup, and Chee Phuat Tan. "Integrated 2-Way Fully Coupled Reservoir Dynamic-Geomechanical Modelling Approach for CO2 Storage Risk Assessment in a Malaysian Carbonate Field." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22685-ms.

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Abstract A study was conducted on Field M to assess CO2 storage potential and to evaluate the risks and uncertainties based on an integrated dynamic-geomechanics modeling approach. Field M is located at north of Central Luconia Province in Sarawak Basin, Malaysia. Most of the depleted carbonate formation in Sarawak Basin undergone pore collapse at various rates during its production life. In order to consider the impact of pore collapse towards reservoir properties, a seamless coupling simulation approach between dynamic model and geomechanics model is important to generate robust storage capacity and storage containment integrity assessment. The high abandonment pressure, uncertainties caused by reservoir compaction during the production life and subsequent injection period, and the risk of CO2 leakage from the reservoir due to fault re-activation and cap-rock integrity breach by the injection operations are also evaluated. The assessment was undertaken by building the compositional dynamic model that was then history matched in standalone mode to the historical production data with a reasonable quality index. The dynamic model grid was embedded with overburden, underburden and sideburden in the geomechanics model grid, and the reservoir properties and embedment grid properties were then populated in the geomechanics model. This process was followed by another history match in 2-way fully coupled dynamic-geomechanics modeling approach whereby the reservoir production and pressure depletion, and subsidence were matched. Injection simulations were subsequently conducted to assess the impact of reservoir compaction, trapping mechanisms, fault stability and cap-rock integrity towards achieving the maximum injectivity and storage capacity. It was observed that 4.41% of porosity and 12.11% of permeability reduction associated with reservoir compaction occurred during production whilst there was limited reversal in both parameters’ reduction during injection as the rock deformation was largely irreversible plastic deformation. The simulated subsidence was matched with the actual 20-year GPS subsidence measurement data collected at platform location. This history matched 2-way fully coupled model was subsequently used as the base case for simulating the CO2 injection options. The simulations showed that Field M has the potential to store up to 2.3 Tscf until the pressure reaches the cap-rock pressure limit. The simulations also showed that all the faults and cap-rock maintained their integrity and the seabed uplifted by 0.05 ft during the end of injection period. This paper provides a detailed description on CO2 storage site assessment using a 2-way fully coupled dynamic-geomechanics modeling approach in a highly porous carbonate reservoir which addresses trapping mechanisms, fault stability and cap-rock integrity, and their impact on injectivity and storage capacity. The information may be adopted for evaluation of other CO2 storage projects in b oth carbonate and clastic reservoirs worldwide ensuring their safe long-term storage.
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Perullo, Christopher A., Dimitri N. Mavris, and Eduardo Fonseca. "An Integrated Assessment of an Organic Rankine Cycle Concept for Use in Onboard Aircraft Power Generation." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95734.

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It is well established that there are advantages in moving towards non-pneumatic engine secondary systems. Such systems are used primarily to provide pressurization, cabin climate control, and de-icing; however, as bypass ratios continue to grow and engine cores become more efficient, the engine fan diameter is increased and core size is diminished. As a consequence, pneumatic off-takes require a larger percentage of the core flow leading to larger performance penalties. One current solution is to drive the aircraft environmental control systems (ECS) with large engine driven electric compressors rather than to use high pressure air from the core. Since cores are generally less sensitive to electrical power off-takes than to pneumatic off-takes this results in a smaller performance penalty. [F1] Using electrical air compressors also ensures fresh, clean air is delivered to the ECS thereby eliminating the risk of engine bleed contaminated cabin air. This research uses the Environmental Design Space (EDS) to examine the feasibility of recovering engine core exhaust heat to perform useful work within the aircraft. EDS serves to capture interdependencies at the conceptual design level of fuel burn, emissions, and noise for conventional and advanced engine and airframe architectures [F2]. Recovering exhaust heat is accomplished through a novel concept that makes use of an organic Rankine cycle (ORC).The concept is similar in principle to heat recovery steam generators used in power plant applications to improve combined cycle efficiency [3]. The main difference is the ORC system is relatively lightweight and appropriate for use onboard an aircraft. The waste heat in this application is used to generate electricity to drive external air compressors to supply flow to the ECS. As a result pneumatic bleeds within the engine can be eliminated, thereby eliminating growing performance penalties associated with shrinking core size and increased fan diameters. An ORC is considered because ORC cycles are ideal for extracting low grade heat. As an additional benefit the ORC vapor cycle can use the fan inlet and wing leading edge anti-ice devices as a condensation heat transfer mechanism that could also allow the system to provide anti-icing capabilities, further reducing engine pneumatic off-takes. The current research focuses on the system as applied the ORC concept to a CFM56 sized engine and has analytically demonstrated from a 0.9% to a 2.5% benefit in vehicle fuel burn relative to a conventional, pneumatically driven ECS. Actual fuel burn savings are dependent on the net installation weight of the ORC cycle.
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8

Paltrinieri, Nicola, Gabriele Landucci, and Pierluigi Salvo Rossi. "Real-Time Data for Risk Assessment in the Offshore Oil and Gas Industry." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61486.

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Recent major accidents in the offshore oil and gas (O&G) industry have showed inadequate assessment of system risk and demonstrated the need to improve risk analysis. While direct causes often differ, the failure to update risk evaluation on the basis of system changes/modifications has been a recurring problem. Risk is traditionally defined as a measure of the accident likelihood and the magnitude of loss, usually assessed as damage to people, to the environment, and/or economic loss. Recent revisions of such definition include also aspects of uncertainty. However, Quantitative Risk Assessment (QRA) in the offshore O&G industry is based on consolidated procedures and methods, where periodic evaluation and update of risk is not commonly carried out. Several methodologies were recently developed for dynamic risk analysis of the offshore O&G industry. Dynamic fault trees, Markov chain models for the life-cycle analysis, and Weibull failure analysis may be used for dynamic frequency evaluation and risk assessment update. Moreover, dynamic risk assessment methods were developed in order to evaluate the risk by updating initial failure probabilities of events (causes) and safety barriers as new information are made available. However, the mentioned techniques are not widely applied in the common O&G offshore practice due to several reasons, among which their complexity has a primary role. More intuitive approaches focusing on a selected number of critical factors have also been suggested, such as the Risk Barometer or the TEC2O. Such techniques are based on the evaluation of technical, operational and organizational factors. The methodology allows supporting periodic update of QRA by collecting and aggregating a set of indicators. However, their effectiveness relies on continuous monitoring activity and realtime data capturing. For this reason, this contribution focuses on the coupling of such methods with sensors of different nature located in or around and offshore O&G system. The inheritance from the Centre for Integrated Operations in the Petroleum Industries represents the basis of such study. Such approach may be beneficial for several cases in which (quasi) real-time risk evaluation may support critical operations. Two representative cases have been described: i) erosion and corrosion issues due to sand production; and ii) oil production in environmental sensitive areas. In both the cases, dynamic risk analysis may employ real-time data provided by sand, corrosion and leak detectors. A simulation of dynamic risk analysis has demonstrated how the variation of such data can affect the overall risk picture. In fact, this risk assessment approach has not only the capability to continuously iterate and outline improved system risk pictures, but it can also compare its results with sensor-measured data and allow for calibration. This can potentially guarantee progressive improvement of the method reliability for appropriate support to safety-critical decisions.
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Stokmane, Maija, and Raimonds Ernsteins. "Municipal coastal governance system development: Triple governance dimensions principle." In 22nd International Scientific Conference. “Economic Science for Rural Development 2021”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2021. http://dx.doi.org/10.22616/esrd.2021.55.021.

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Integrated coastal governance (ICG) is becoming increasingly important nowadays, since the problems at coastal territories are continuously growing. The coastal zone, however, is a complex socio-ecological system which is extremely difficult to govern because it is very dynamic territory that is also very sensitive to various anthropogenic influences, as well as a lot of conflicts of interest occur there. Coastal area is characterized by a unique and diverse natural and cultural heritage as is the case with Jurmala municipality in Latvia. An integrated approach is important in the governance of such a complex socio-ecological system, but disciplinary/branch approaches are also necessary. The aim of the research was to study and evaluate the complex situation of the coastal governance at the local level, as well as to develop policy proposals for the chosen target territory – Jurmala municipality – and its main target groups. These studies included the analysis of the legislative acts and planning documents, interviews with all the main target groups in the municipality, observation studies, as well as the initial assessment of the coastal governance situation in the Jurmala municipality by using the model of three environmental governance dimensions: (1) coastal governance sectors; (2) coastal governance segments (stakeholders); and (3) coastal governance instruments.
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Li, Yan-Feng, Jian Sun, Haiqing Li, Hong-Zhong Huang, and Yu Liu. "Fuzzy Dynamic Fault Tree Analysis of Hydraulic System of CNC Machining Center." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47583.

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Fault tree analysis (FTA), as an effective reliability assessment tool, is a widely used in analyzing the risk and reliability of large scale and complex engineering systems. Dynamic fault tree analysis (DFTA) extends the static fault tree by defining additional gates to model the complicated interactions, and in most case, Markov models can be used to solve dynamic gates. In many real systems, it is quite difficult to evaluate the probability of failure events preciously due to many uncertainty factors. To account for the uncertainty resulting from the lack of sufficient data or the subjective adjustments from experts, a fuzzy dynamic fault tree model is proposed to assess the system reliability when acquiring precious probability of failure event is impossible. With the aim of obtaining the membership function of the fuzzy probability of the top event, the extension principle is employed. The proposed method and algorithm are demonstrated by a case study of the hydraulic system of a specific CNC machining center.
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