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    07 February 2025, Volume 41 Issue 1

    Research on the Comprehensive Utilization of Waste Resources in Integrated Ferromanganese Mining, Ore Dressing, and Smelting Enterprises

    XU Xingwei
    2025, 41(1):  1.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 001
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    During the mining, beneficiation, and smelting processes of manganese iron ore, mining waste, beneficiation tailings, smelting slag, residual heat and gas collected in closed furnaces, as well as waste disposal are a bottleneck for the high-quality development of enterprises. To overcome this challenge and a- chieve the resource recycling of waste within the factory area, as well as zero waste discharge in integrated mining, beneficiation, and metallurgy enterprises, this study focuses on optimizing the process of preparing admixtures from manganese iron ore waste. Based on existing small-scale experimental data and feedback from engineering applications, an orthogonal experimental design was used to study the blending ratio of waste materials. Range analysis and variance analysis were applied to optimize the material balance ratio for waste recycling, and engineering application verification was performed for the optimal ratio. The research results show that: 1) Under the conditions of mining waste accounting for 65% , beneficiation tailings for 20% , smelting slag for 16% , and activator for 1. 5% , the prepared admixture meets the national standard technical requirements, and the waste generated at each stage is effectively balanced in terms of disposal.

    2) Considering the limitation of the logistics radius for admixtures, the study further explores the compati- bility of primary concrete raw materials and the admixtures within the logistics radius around the enterprise. The results demonstrate that the admixtures prepared in this study exhibit good compatibility with various types of cement and admixtures. 3) The integrated mining, beneficiation, and smelting manganese ore en- terprises can achieve balanced waste disposal, enhance the overall competitiveness of the enterprise, and a- chieve zero waste discharge by applying the results of this study.

    Application of Pulsed Eddy Current Electromagnetic Technology in a Carbonate Sedimentary Facies Oilfield in Saudi Arabia

    HOU Yunling', ZHANG Wenting
    2025, 41(1):  10.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 002
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    Electromagnetic flaw detection logging technology plays a critical role in the safe operation and extended service life of wells by detecting corrosion, wear, and defects in casing, enabling effective iden- tification and localization of issues, which allows for timely interventions. Currently, the majority of next- generation electromagnetic flaw detection logging instruments primarily utilize pulsed eddy current tech- nology. This technology not only allows for precise detection of wellbore structures and identification of defects but also provides insights into the variations in the thickness of multi-layered pipe strings, espe- cially in the corrosion and damage of third to fourth layers tubing and casing. Moreover, the practical ap- plication of full-resolution electromagnetic flaw detection instruments using this technology in Saudi oil fields has demonstrated significant advantages. It saves time and reduces costs related to tubing lifting, while also minimizing the impact on well production operations and output. The instruments excel in terms of positioning accuracy, sensitivity, and responsiveness to changes, providing oilfield engineers with accurate data to develop targeted maintenance strategies. This helps reduce wellbore safety risks and failure rates. The case studies presented in this paper highlight the practical value and potential of pulsed 

    Experimental Study on Tungsten Extraction from Tailings

    YANG Zhihong, LI Yongjia, LI Yingjuan
    2025, 41(1):  16.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 003
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    The WO3 grade in the tailings of a selected gold mine is 0. 34% , with the mineral primarily existing in the form of scheelite. The effectiveness of conventional beneficiation methods for this mineral was investigated. A tungsten concentrate with a WO3 grade of 1. 37% and a recovery rate of 51. 84% was obtained using the leaching method. Flotation resulted in a tungsten concentrate with a WO3 grade of 1. 75% and a recovery rate of 66. 26%. Gravity separation yielded a tungsten concentrate with a WO3 grade of 1. 33% and a recovery rate of 46. 07% . The results showed that leaching, flotation, and gravity separation methods had similar efficacy in separating the mineral components. Considering factors such as cost-effectiveness and environmental impact, gravity separation was ultimately selected for the preliminary enrichment of tungsten resources in the mineral. Through closed-circuit experiments encompassing the en- tire gravity separation process, a tungsten concentrate with a WO3 grade of 1. 36% and a recovery rate of 46. 40% was achieved, resulting in approximately four times the initial grade. This demonstrates a prom- ising approach for the effective utilization of similar resources.

    Multi-objective Optimization of Stope Structural Parameters Based on Combined Weighting and Membership Functions

    DENG Liang
    2025, 41(1):  22.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 004
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     In order to optimize the selection of mining stope structural parameters, indicators were select- ed from the perspectives of safety, technology, economy, and environmental protection to construct an optimization indicator system for mining stope structural parameters. The fuzzy membership approach was used to comprehensively optimize the structural parameters of mining stopes, considering multiple objec- tives such as safety, technology, economy, and environmental protection. To accurately calculate the weights of each indicator in the optimization process, the subjective weights of the selected indicators were calculated using the GI theory based on expert subjective experience. Additionally, the entropy weight method was employed to calculate the objective weights of the optimization indicators based on the infor- mation derived from the mining stope structural parameters. The combination of subjective and objective weights was then applied to assign comprehensive weights to the optimization indicators. The multiple at- tributes embedded in the indicator values were processed using membership functions. Ultimately, the optimal combination of mining stope structural parameters, taking into account safety, technology, and e- conomy, was selected. The results demonstrate that the combination weighting method, along with fuzzy optimization, can achieve a multi-objective scientific optimization of mining stope structural parameters, selecting the combination with the best comprehensive benefits for mining enterprises.