Evaluation methods of man-machine-environment system for clean and safe production in phosphorus mines: A case study

Dong, Longjun; Zhou, Ying; Deng, Sijia; Wang, Mei; Sun, Daoyuan

doi:10.1007/s11771-021-4890-8

Cited by 17 publications

(6 citation statements)

References 34 publications

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“…Moreover, by applying the UM theory, Zhou et al [29] established a 100% accurate and comprehensive optimal unascertained combination model, the P-CW-CIP, for the estimation of coal burst hazards with the parabolic function, synthetic weights, and the credible identification principle. Other valuable resources [30][31][32][33][34][35] are worth being referred to for a deeper understanding of the application in other industries based on the UM theory. One noticeable application in carbon capture utilization and storage (CCUS) for the oil and gas industry is from Zhan et al [36], who proposed a novel CO 2 geological sequestration suitability evaluation model with the aid of the UM theory, which was validated by evaluating tectonic units in the Songliao Basin, China, with about an 83% consistency compared with previous studies.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Waterflooding Effect Evaluation Methodology for Carbonate Fractured–Vuggy Reservoirs Based on the Unascertained Measure–Mahalanobis Distance Theory

Su,

Gao,

et al. 2024

Processes

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The waterflooding effect evaluation of carbonate fractured–vuggy reservoirs constitutes a comprehensive multiple-information decision-making process involving quantitative unascertained measure theory. This paper establishes a novel comprehensive methodology to evaluate the waterflooding effects of carbonate fractured–vuggy reservoirs for the first time. A new evaluation grading criteria is proposed using the Mahalanobis distance method based on the multi-index comprehensive unascertained measure theory derived from a modified five-scale analytical hierarchy process–entropy weight method. The actual field data from the carbonate fractured–vuggy reservoirs and the nine evaluation indices are specifically applied to demonstrate the calculation process for the construction of the grading system model on the waterflooding effects and to verify the accuracy of the Mahalanobis distance method by comparing the calculation results with the Minkowski and Euclidean distance methods. The proposed methodology facilitates the effective evaluation of the waterflooding strategies implemented in carbonate fractured–vuggy reservoirs with three categories; the ones with outstanding performance usually demonstrated favorable index characteristics, with substantial contributions to the enhanced oil recovery, manifesting with complete well patterns, a balance in the injection–production dynamics, excellent waterflooding utilization, and control competence. In contrast, fractured–vuggy units with fair waterflooding performance revealed limitations in the enhanced oil recovery. It can also be inferred that the mediocre waterflooding performance of the fractured–vuggy units is associated with incomplete well patterns, an imbalance in the injection–production dynamics, low waterflooding utilization, and a negligible waterflooding effect. The results in this study show that this newly proposed integrated model can effectively assess the waterflooding effects quantitatively and provide a more precise scientific basis for evaluating the waterflooding effects in carbonate fractured–vuggy reservoirs, with potential applicability in other fields.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Waterflooding Effect Evaluation Methodology for Carbonate Fractured–Vuggy Reservoirs Based on the Unascertained Measure–Mahalanobis Distance Theory

Su,

Gao,

et al. 2024

Processes

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“…The original mine data must be sorted and transformed into safety information that ts the mine production scenario and further interpreted based on the experience of safety managers to render it suitable knowledge for safe production and a source for evidence-based intervention and decision-making. (5) In the risk pre-control mode under the prevention mechanism, safety managers will adopt different intervention methods to carry out safety management activities based on the results of the risk identi cation and risk evaluation; using SBD technology to obtain safety information, they do not need to know "why", as long as they know "how to". This can overcome irrational decision-making concepts.…”

Section: Safety Big Data and Safety Evidencementioning

confidence: 99%

Risk pre-control mechanism of mines based on evidence-based safety management and safety big data

Wang,

Guo

2023

Environ Sci Pollut Res

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The overexploitation of mineral resources and the heavy use of mineral resources have caused serious environmental damage. The growing problem of mine safety also directly threatens the personal safety of the surrounding population and hinders the development of the local economy. Evidence-based safety eliminates the reliance on intuition and unsystematic aspects of traditional safety management systems by taking into account the actual production situations on site, making safety decision-making activities more scienti c. However, there is frequently a lag in the transformation and feedback of evidence information, which obstructs the realization of effective safety decision-making activities. From the perspective of process safety management risk analysis and the transformation of safety big data and safety evidence, this paper proposes a new mine risk pre-control mechanism. First and foremost, based on process safety management, evidence-based safety is successfully applied to mine risk control.Secondly, from the perspective of information transformation, a mine risk pre-control mechanism based on evidence-based safety management and safety big data is established. Finally, taking mine open area monitoring as an example, the application analysis of the mine risk pre-control mode constructed above is carried out. The risk pre-control mechanism proposed in this paper provides a new idea for the practice of mine risk management.

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“…Compared with other machine learning methods, this method has high identification accuracy. In addition, Dong L et al [31] proposed the LM-CAG-CDR method and recommended 16 combined methods to evaluate the level of clean and safe production of phosphate rock, which improved the development level of the clean and safe mining of phosphate rock.…”

Section: Cross-validationmentioning

confidence: 99%

Optimization of the Process Parameters of Fully Mechanized Top-Coal Caving in Thick-Seam Coal Using BP Neural Networks

Liang

et al. 2022

Sustainability

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The method of fully mechanized top-coal caving mining has become the main method of mining thick-seam coal. The process parameters of fully mechanized caving will affect the recovery rate and gangue content of top coal. Through numerical simulation software, the top-coal recovery rate and gangue content, under different fully mechanized caving process parameters, were simulated, and the influence law of different fully mechanized caving process parameters on top-coal recovery rate and gangue content was obtained. A decision model for top-coal caving process parameters was established with a BP neural network, and the optimal top-coal caving parameters were obtained for the actual situation of a working face. On this basis, a in-lab similarity simulation test of the particle material was carried out. The results show that the top-coal recovery rate and gangue content were 86.56% and 3.45%, respectively, and the coal caving effect was good. A BP neural network was used to study the decisions optimizing fully mechanized caving process parameters, which effectively improved the decision-making efficiency thereabout and provided a basis for realizing intelligent, fully mechanized caving mining.

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Evaluation methods of man-machine-environment system for clean and safe production in phosphorus mines: A case study

Cited by 17 publications

References 34 publications

Integrated Waterflooding Effect Evaluation Methodology for Carbonate Fractured–Vuggy Reservoirs Based on the Unascertained Measure–Mahalanobis Distance Theory

Integrated Waterflooding Effect Evaluation Methodology for Carbonate Fractured–Vuggy Reservoirs Based on the Unascertained Measure–Mahalanobis Distance Theory

Risk pre-control mechanism of mines based on evidence-based safety management and safety big data

Optimization of the Process Parameters of Fully Mechanized Top-Coal Caving in Thick-Seam Coal Using BP Neural Networks

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