在多个煤层的重复开采中对表面沉降规律和预测模型的研究
Shuai Guo1,2, Shouyuan Qiu3,4, Dongjie Zhang1,5
1School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology, BaoTou, 014000, China.
Scientific reports
|September 1, 2025
概括
煤炭深度开采导致地表沉降. 这项研究开发了多层采矿的预测模型,通过现场数据验证,显示了表面结算的小预测错误.
科学领域:
- 地质工程
- 采矿工程
- 地球科学
背景情况:
- 全球煤炭开采扩展到更深层.
- 不断挖掘多个煤层会导致表面沉降.
- 了解和预测这种沉降对于安全和环境管理至关重要.
研究的目的:
- 在重复开采多个煤层时,研究沉积模型和表面沉降规律.
- 在多层采矿场景中开发和验证表面沉降的预测模型.
- 分析影响表面沉降的因素,包括岩石质量行为和采矿深度.
主要方法:
- 理论分析以确定采矿参数与沉降之间的关系.
- 数字模拟模型层的运动和表面变形.
- 现场监测和与模型预测进行比较以验证.
- 基于概率积的预测模型的开发.
主要成果:
- 在破碎岩石膨胀,煤层深度/厚度和最大沉降之间发现了线性关系.
- 表面沉降盆地的大小与采矿深度有线关系.
- 数字模拟显示了类似于单采矿的沉降趋势,后期分布不对称.
- 与现场测量相比,开发的预测模型显示出高精度,平均误差低于5%.
结论:
- 这项研究提供了一个验证的模型,用于预测多层采矿中的表面沉降.
- 理论和数值发现与工程应用一致,证实了模型的合理性.
- 精确的沉降预测是可以实现的,有助于减轻与深层多层煤炭开采相关的风险.
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