估算东西伯利亚矿床水文地质条件的系统模型分析

L. Auzina
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It involves the use of the principal component analysis and ends with the compilation of a classification table of standard objects (thoroughly studied in geological and hydrogeological terms) in accordance with the earlier identified most significant indirect indicators but easily accessible ones. The second stage is recognition or forecast. It includes attribution of analogous objects (with poorly or unstudied geological and hydrogeological conditions) to certain classes determined at the first stage. When solving this problem, the programs implementing cluster and multiple regression analyses are used. As a result, the analogous objects are classified in accordance with the task set. Results. 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摘要

相关性。东西伯利亚复杂的结构和构造环境、矿藏地质和水文地质勘探的不充分和不平衡,决定了优化水文地质工程和降低其实施成本问题的相关性。目标确定一些易于定义的间接指标,这些指标可预先确定有希望钻探水文地质井的地点选择。方法。为提高项目工作的效率,采用了两阶段系统模型分析方法。第一阶段是培训。它包括使用主成分分析法,最后根据先前确定的最重要但容易获得的间接指标,编制标准对象分类表(在地质和水文地质方面进行了深入研究)。第二阶段是识别或预测。它包括将类似物体(地质和水文地质条件较差或未经研究)归入第一阶段确定的某些类别。在解决这一问题时,需要使用聚类分析和多元回归分析程序。结果,类比对象按照任务集进行了分类。结果。所开发的方法有多种用途:伊利姆-勒拿河高原与东西伯利亚主要铁矿相关的结构水文地质分区;根据工程水文地质条件的复杂程度对勒拿河金矿地区的冲积矿床进行分类;确定东西伯利亚石油和天然气综合体油田中水量增加的地点。根据研究结果,建议在水文地质研究实践中广泛采用该方法。在不同规模的水文地质结构区划下开发排水和供水系统时,有必要优化矿床特殊工程的类型和数量,以确定最富水区。此外,在根据环境和水文地质指标处理数据库和对象分类时,提供附加处理方法的系统 模型分析方法具有潜力,并已得到广泛应用。
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System model analysis in estimating hydrogeological conditions of Eastern Siberia mineral deposits
Relevance. The conditions of complex structural and tectonic setting, insufficiency and uneven geological and hydrogeological exploration of mineral deposits in Eastern Siberia determine the relevance of the issues of optimization of hydrogeological works and reduction of their implementation costs. Aim. Identification of a number of readily defined, indirect indicators that predetermine the selection of sites promising for drilling hydrogeological wells. Methods. The two-stage method of system-model analysis was used to improve the efficiency of the project work. The first stage is training. It involves the use of the principal component analysis and ends with the compilation of a classification table of standard objects (thoroughly studied in geological and hydrogeological terms) in accordance with the earlier identified most significant indirect indicators but easily accessible ones. The second stage is recognition or forecast. It includes attribution of analogous objects (with poorly or unstudied geological and hydrogeological conditions) to certain classes determined at the first stage. When solving this problem, the programs implementing cluster and multiple regression analyses are used. As a result, the analogous objects are classified in accordance with the task set. Results. The developed methodology is used for various purposes: for structural hydrogeological zoning of the Ilim-Lena plateau with associated main iron ore deposits of Eastern Siberia, for typification of alluvial deposits of the Lena gold ore region according to the complexity degree of engineering hydrogeological conditions, for identification of sites featuring increased water abundance in the fields of the oil and gas complex of Eastern Siberia. The results obtained make it possible to recommend the method to be widely introduced into the practice of hydrogeological research. It is necessary for optimizing the types and volumes of special works at mineral deposits in order to identify the most water-abundant zones when developing dewatering and water supply systems under different-scale structural hydrogeological zoning. In addition, the method of system-model analysis provisioned with additional processing methods has a potential and is already widely used when dealing with databases and object typification according to environmental and hydrogeological indicators.
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