Ranking and Evaluating the Coal Seam Mechanization Based on Geological Conditions

Reza, Mikaeil; Gharahasanlou, Ehsan Jafarnejad; Jafarpour, Amir

doi:10.1007/s10706-020-01200-0

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…For this purpose, the replacement of definitive values with fuzzy values has resulted in different fuzzy approaches. Consequently, the results of each approach have become more consistent with real-world conditions, and the efficiency of the approach has increased [49].…”

Section: Methodsmentioning

confidence: 96%

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Jafarpour

Najafi

2022

Mathematical Problems in Engineering

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Geological studies are very important at different steps of mining activities. Different uncertain geological criteria and factors show a significant impact during the underground mining operations and mineral extraction process. The current study reports on the evaluation and classification of coal seams for methane drainage-ability (MDA) through a fuzzy hybrid approach. This problem was investigated due to the importance of uncertain geological factors in the process of MDA and the necessity to evaluate safety operations in underground coal mines. The important criteria involved are depth, thickness, and uniformity of coal seam, joints and cleats conditions, roof quality, coal seam gas content, underground water condition, and permeability of coal seam. The two-stage fuzzy classification approach was used to analyze the effectiveness of the uncertain geological criteria. Also, fuzzy cognitive map (FCM) method was used to calculate weights for geological criteria. The used FCM method is based on the Hebbian algorithm and metaheuristic methods. The Hebbian learning algorithm is made from a hybrid learning algorithm of nonlinear heuristics and differential evolution. In addition, fuzzy intervals of criteria were calculated based on technical reports and other scientific studies. Then, the rank of each coal seam calculates by fuzzy T-norms. The proposed system was employed to classify the coal seams for MDA in Parvadeh coalfield, Iran. The results showed that the C1, C2, B2, B1, and D coal seams were classified in the “very good,” “good,” “moderate,” “poor,” and “very poor” categories, respectively. The proposed fuzzy hybrid approach provides a new logical tool in the selection of coal seam for methane drainage operation and can reduce the risk of methane drainage projects in underground coal mines.

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Section: Methodsmentioning

confidence: 96%

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Jafarpour

Najafi

2022

Mathematical Problems in Engineering

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“…Step 2: In this step, fuzzy numbers ( ) obtained from the consensus of experts’ judgments are calculated as follows [ 37 – 39 ]: In the above equations, represent the judgment of k th expert about the importance of criterion and is the number of experts. Based on triangular fuzzy numbers (TFNs) logic, experts' judgments' maximum and minimum values are regarded as upper and lower bounds, respectively.…”

Section: The Proposed Methodologymentioning

confidence: 99%

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Shahabi

Basiri

Qarahasanlou

et al. 2022

Int. J. Fuzzy Syst.

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Investment in mineral industries always deals with various economic, political, technical, and environmental risks. Not paying enough attention to such risks increases the possibility of investment failure. Accordingly, in this study, the risk criteria for investing in mineral industries and sub-criteria for risk assessment according to the type of industries, including mineral exploration, exploitation, and processing projects, have been identified and prioritized. In this regard, a methodology is presented based on multi-attribute decision-making methods, including Fuzzy Delphi, DEMATEL, and ANP methods to identify and analyze the risk criteria and evaluate sub-criteria. The results indicate that financial and commercial, technical, HSE, infrastructural considerations, geological, political, security, and legal risks are the main risk measures affecting investment in mining projects with different priorities. From the viewpoint of investment risk assessment in mineral processing and exploration projects, technical, financial and commercial, and geological risk criteria are the most significant, respectively. Generally, all risk criteria must be considered to make a reasonable investment in the mining sector, especially those more important.

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Resilience estimation of critical infrastructure systems: Application of expert judgment

Mottahedi

Sereshki

Ataei

et al. 2021

Reliability Engineering & System Safety

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Ranking and Evaluating the Coal Seam Mechanization Based on Geological Conditions

Cited by 3 publications

References 12 publications

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Selection of Compatible Coal Seam for Methane Drainage Operation Based on Uncertain Geological Conditions: A Hybrid Fuzzy Approach

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Resilience estimation of critical infrastructure systems: Application of expert judgment

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