Fuzzy Hierarchical Failure Mode and Effect Analysis

Pokorádi, László; Koçak, Sinan; Tóth-Laufer, Edit

doi:10.1109/sisy52375.2021.9582523

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The screening standard of CO 2 flooding reservoirs in lowpermeability reservoirs in the Daqing Oilfield is established (Chai et al, 2021;Pokoradi et al, 2021;Sun, 2021). When calculating the evaluation value of enhanced oil recovery by CO 2 flooding, because the reservoir data are complex and the units of different factors are different, the geological data of the field should be normalized (Gao et al, 2021;Moreira et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Using the Multiple Linear Regression Method for CO2 Flooding Evaluation in the Daqing Oilfield

et al. 2022

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CO2 flooding and burial efficiency can be improved by establishing a standard for screening suitable CO2 flooding reservoirs for the Daqing Oilfield. Moreover, the influencing factors of CO2 flooding can be classified into geological factors, fluid properties, and development factors. An evaluation index system and hierarchical structure are created based on the importance of multiple factors. The subjective analysis error of human beings is quite large when establishing the evaluation index system, especially in the fitting curves that are drawn by different analysts. Based on the geological characteristics of block Bei14 in the Daqing Oilfield, a typical CMG model is presented in this article. A total of 15 factors in the 72 models are used as independent variables, and the recovery factor is used as a dependent variable for multiple linear regression calculations. In addition to sensitivity tests based on how much significance is indicated by the t value in the results, a unique result can be calculated using standard statistical methods when analyzing the calculation results of the multiple linear regression model. The results of the screening standard evaluation system are consistent with the production history of the oilfield based on the mathematical understanding of multiple factors of CO2 flooding. Around the high-score well group, oil saturation decreases significantly, and the cumulative production is generally higher than that of the low-score well group. The calculation results of block Bei 14 show that 74% of well groups have an evaluation value greater than 0.50, and 72% of well groups have an annual oil exchange ratio above 40%, which means that over 70% of well groups can benefit from CO2 flooding. Thus, CO2 flooding can be applied in the Daqing Oilfield, and multiple linear regression can provide effective guidance for the Daqing Oilfield’s development.

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Section: Introductionmentioning

confidence: 99%

Using the Multiple Linear Regression Method for CO2 Flooding Evaluation in the Daqing Oilfield

et al. 2022

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“…In this study, [0,1] interval is used proportionally due to later calculations. Fuzzy sets representing CoF, PoF and DoF values are illustrated in Fig.1[17].…”

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confidence: 99%

Similarity Measure Supported Fuzzy Failure Mode and Effect Analysis

Laufer

2024

ACTA POLYTECH HUNG

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Nowadays in the various engineering fields quality requirements are continuously increasing. There is also a need to develop flexible and highly adaptive systems to meet current requirements. At the same time, it is also essential to predict possible system failures and to address the arising problems appropriately. A widely used approach for predicting and preventing system failures is the Failure Mode and Effect Analysis (FMEA), which accompanies the entire development process and is able to adapt to changes in the system. The conventional method can be improved if fuzzy logic is incorporated into the evaluation. In this way the often arising subjectivity and uncertainty can be handled to ensure a more reliable result. In this paper, the author proposes a Fuzzy-FMEA (F-FMEA) based approach supported by similarity measures, for the system level. In the evaluation fuzzy arithmetic operations are applied to determine the Probability of Failure for the different failure codes. In addition to the single-expert F-FMEA system, the evaluation method that takes into account the opinions of multiple experts is also presented.

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Safety and Cybersecurity Assessment Techniques for Critical Industries: A Mapping Study

Babeshko

Giandomenico

2023

IEEE Access

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Fuzzy Hierarchical Failure Mode and Effect Analysis

Cited by 3 publications

References 6 publications

Using the Multiple Linear Regression Method for CO2 Flooding Evaluation in the Daqing Oilfield

Using the Multiple Linear Regression Method for CO2 Flooding Evaluation in the Daqing Oilfield

Similarity Measure Supported Fuzzy Failure Mode and Effect Analysis

Safety and Cybersecurity Assessment Techniques for Critical Industries: A Mapping Study

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