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Coal Geology & Exploration

Abstract

Objective In China, deep coal resources hold considerable potential, exhibiting promising prospects for exploitation and utilization. Therefore, gaining a clear understanding of deep coal resources provides a prerequisite and foundation for both the national strategic planning of coal resources and the scientific development and utilization of deep coal resources. Research Thinking From the perspective of the current situation of coal resources in China, this study determined the occurrence characteristics and categories of deep coal resources. Accordingly, it proposed a philosophy and workflow for predicting the resources, followed by the prediction of deep coal resources in the Carboniferous-Permian strata of the Ordos Basin. Results and Conclusions Deep coal resources can be classified into practically recoverable and potentially recoverable categories, which can be subdivided into five subcategories. Among these, practically recoverable deep coal resources refer to coal resources that can be mined underground presently or in the near future. According to the Medium- and long-term planning for the development of deep coal resources (2025‒2035), this category can be further divided into two subcategories: deep coal resources with burial depth ranges of 1000−1200 m and 1200−1500 m (excluding 1200 m). The potentially recoverable deep coal resources refer to coal resources that can be exploited using in situ fluidized mining technology, hinging on technological breakthroughs. This category represents strategic reserves of the coal industry and can be further divided into three subcategories based on burial depths and exploitation prospects: deep coal resources with burial depth ranges of 1500−2000 m (excluding 1500 m), 2000−3000 m (excluding 2000 m), and 3000−5000 m (excluding 3000 m). Primary constraints on the prediction of deep coal resources include a limited understanding of the resource occurrence state, a lack of available information, increased difficulties with detection, and less complete mechanisms for sharing multi-source heterogeneous data. Therefore, deep coal resources should be predicted under the guidance of modern mineral resource prediction and geological theories on coalfields, centered on surveys into coal-forming processes and structural control on coal formation, and based on the exploration of the occurrence patterns of regional and shallow coal resources. It is necessary to extensively collect various data on deep parts, tap into deep drilling data and geophysical exploration data on deep parts, and highlight the integration of multi-source heterogeneous data. Furthermore, the prediction of deep coal resources should be performed progressively from regional to local ranges, from shallow to deep parts, and from large to fine scales. The prediction workflow generally involves collecting multi-source data, investigating regional geology and shallow coal resources, exploring the occurrence patterns of deep coal resources, and predicting deep coal resources sequentially, focusing primarily on acquiring parameters to be predicted and determining the prediction levels of resources. Using the proposed prediction philosophy and methodology, this study predicted deep coal resources in the Taiyuan and Shanxi formations, Ordos Basin. As a result, data on predicted resources at depths ranging from 1000 m to 2000 m were updated, and the predicted coal resources at depths ranging from 2000 m to 5000 m were obtained for the first time. The prediction results indicate that the Taiyuan and Shanxi formations across the Ordos Basin exhibit total predicted coal resources of 1883.5 billion tons at burial depths ranging from 1000 m to 5000 m. The vertical resource abundance of the formations decreases in the order of depth ranges of 2000−3000 m (excluding 2000 m), 3000−5000 m (excluding 3000 m), and 1000−2000 m sequentially. The predicted deep coal resources determined in this study are somewhat lower than the results from the national coal resource potential evaluation released in 2013. This finding is associated with the coal seam thickness and predicted area.

Keywords

deep coal resource, prediction, coal occurrence pattern, structural control on coal formation, Ordos Basin

DOI

10.12363/issn.1001-1986.26.03.0171

Reference

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