An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas

Wang, Qianlin; Diao, Xiaoxu; Zhao, Yunfei; Chen, Feng; Yang, Guoan; Smidts, Carol

doi:10.1016/j.energy.2020.119570

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Methods used in studies are diverse both in their fields of application and in the tools employed for calculations. For instance, biogas release is observed via Event Tree Analysis (Stolecka-Antczak and Rusin, 2021), and functional failure risk is measured with the help of fuzzy logic (Wang et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Risks Analysis of the Implementation of Sustainable Solution for the Oil and Fat Industry Waste Recycling

Gutman,

Nochevkina,

Brazovskaia

2023

IJTech

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This article expands on the problem of oil and fat industry waste recycling via biogas plants. Authors assess the risk level of the proposed solution implementation, taking into account externalities of the industry in the Rostov Region of the Russian Federation submitted by the stability of centralized power supply, local personnel qualification, climatic peculiarities, and industry state finance support of the region. To achieve the study objective, the following methods were used: qualitative PESTEL-analysis (identified the external factors) and quantitative Fuzzy logic (assessed risk level. The result of this study shows that the risk level is predominantly below average, reflecting the preparedness of the external environment in the region. The uniqueness of the study is represented by a proposed model to assess the external environment risk level via fuzzy logic that also contributes to more qualitative subsequent studies.

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Section: Literature Reviewmentioning

confidence: 99%

Risks Analysis of the Implementation of Sustainable Solution for the Oil and Fat Industry Waste Recycling

Gutman,

Nochevkina,

Brazovskaia

2023

IJTech

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“…According to the multi-step propagation diffusion influence matrix, combined with the hypergraph model, the propagation diffusion influence value of each step of the fault mode can be obtained. Furthermore, the comprehensive influence value of the fault mode can be calculated by Equation (13), which is summarized in Table 6. As can be found from Table 6, the modes with high comprehensive influence degree at 4000 h are 101, 503, 103, 502, 601, 603, and 803.…”

Section: Comprehensive Influence Degree Of Fault Modementioning

confidence: 99%

“…Combining the functional fault identification and propagation of the system with fuzzy logic, Wang et al proposed a functional fault risk analysis method for natural gas fracturing system based on expert knowledge [13]. Wang et al improved the FMEA method and constructed a hybrid FMEA risk analysis framework by applying the cloud model, Choquet integral, and gain-loss dominance scoring method [14].…”

Section: Introductionmentioning

confidence: 99%

Risk Evaluation Method Based on Fault Propagation and Diffusion

Mu,

Zhang,

Zhang

2023

Mathematics

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The high reliability demand of the machining center emphasizes the accuracy of the fault risk evaluation. In the traditional fault risk evaluation research of the machining center, the influence of fault mode is mostly based on subjective recommendation or does not consider the propagation and diffusion of fault, which makes the risk evaluation results different from the real situation. Therefore, this paper presents a framework to evaluate the fault risk for machining center components. A certain type of machining center is considered as a case study. The fault mode frequency ratio of components is calculated by fault mode analysis. The fault rate calculation is conducted based on the Johnson method. Considering that different fault modes have different influences on fault propagation breadth and depth, the hypergraph theory is used to build a hypernetwork model. The propagation and diffusion influence degree are defined to describe the propagation and diffusion process of faults. Then, the comprehensive influence degree of fault mode is calculated. The risk evaluation is realized by considering the component fault rate, fault mode frequency ratio, and the comprehensive influence degree of fault mode. The method proposed in this paper can provide a reference for the formulation of risk strategies for the machining center.

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“…Quantitative risk analysis of functional failure in the fracturing system of unconventional natural gas was provided in [26]. Multi-objective risk analysis for a reforming reactor system was presented in [27] with the conclusion that P-graph can be used for representation of the process flow diagrams of the power plants.…”

Section: Introductionmentioning

confidence: 99%

A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty

Mimica

Urtasun

Krajačić

2022

Energy

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An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas

Cited by 7 publications

References 27 publications

Risks Analysis of the Implementation of Sustainable Solution for the Oil and Fat Industry Waste Recycling

Risks Analysis of the Implementation of Sustainable Solution for the Oil and Fat Industry Waste Recycling

Risk Evaluation Method Based on Fault Propagation and Diffusion

A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty

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