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基于钻孔综合物探的透明掘进地质导航系统构建方法.

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Title: 基于钻孔综合物探的透明掘进地质导航系统构建方法.
Alternate Title: Construction method of a transparent tunneling geological navigation system based on integrated borehole geophysical exploration.
Authors: 范 涛1,2,3 fantao4444@163.com, 刘再斌1,2,4, 程建远3,5, 李 卫1,2,5, 郝 跃1,2,5, 代振华1, 段啸风1, 刘文明1,2,4, 李贵红1,3, 高耀全1
Source: Coal Science & Technology (0253-2336). Feb2026, Vol. 54 Issue 2, p402-415. 14p.
Subject Terms: *Geophysical well logging, *Geophysical prospecting, *Digital twin, *Excavation (Civil engineering), *Geological modeling
Abstract (English): Accurate acquisition of advanced geological information and experience-based decision-making remain major challenges for intelligent coal mine excavation. This study proposes a construction method for a transparent excavation geological navigation system based on comprehensive drilling geophysical exploration. Integrating the collaborative advanced detection technology of drilling geophysical exploration, multi-source geological data fusion interpretation, and navigation route planning algorithms, the study presents an integrated "detection-guidance-excavation" architecture. The innovative breakthroughs include: A collaborative mechanism for the drilling-geophysical data chain was established. By innovatively integrating borehole transient electromagnetic stereo detection, borehole ground-penetrating radar (GPR) refined imaging, and measurement-while-drilling natural gamma lithology identification technologies, synchronous and refined multi-parameter detection of concealed water-bearing bodies, geological structures, and coal seam roof/floor undulations was achieved within a 1 000 m advance distance and 30 m radial range using a single directional long borehole. A multi-parameter joint inversion model based on the Bayesian framework and a spatiotemporal collaborative Kriging-STL data fusion algorithm were proposed, effectively solving the deep fusion problem of multi-source heterogeneous data under a unified spatiotemporal reference. A high-precision dynamic 3D geological model of the tunneling face featuring structural constraints and physical property filling was constructed, and a geological adaptive navigation strategy based on an improved A* algorithm was designed. This strategy quantifies geological risk areas such as water hazards and structures into cost functions for path searching. Combined with the mutual feedback update mechanism of the digital twin system, it realizes autonomous planning and real-time correction of excavation paths. Engineering practice has demonstrated that the transparent excavation geological navigation system based on comprehensive borehole geophysical exploration successfully identified a concealed goaf water accumulation anomaly in the 24104 working face of a certain mine. The excavation cycle of the roadway was reduced from the original 107 days to 67 days, increasing efficiency by approximately 37%. This work transcends the traditional "exploration-excavation" separation, establishing a new paradigm for safe, efficient coal mining in complex environments. It offers reliable and accurate geological assurance for the long-distance advance detection and high-precision geological navigation of rapid roadway excavation in future coal mines. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 煤矿巷道快速掘进是保障煤炭安全高效开采的关键环节, 针对煤矿智能化掘进中面临地质信 息获取精度不足与导航决策依赖经验的双重挑战, 提出基于综合钻孔物探的透明掘进地质导航系统 构建方法。采用钻孔物探协同超前探测技术、多源地质数据融合解释和导航路线规划算法相融合的 方式, 构建了"探−导−掘"一体化架构。首先, 建立了钻孔−物探数据链协同机制, 创新集成了孔中瞬 变电磁立体探测、孔中地质雷达精细成像及随钻自然伽马岩性识别技术, 利用定向长钻孔实现了对 巷道前方 1 000 m 超前距离、径向 30 m 范围内隐伏含水体、断层构造及煤层顶底板起伏的单孔多参 数同步精细化探测。其次, 提出了基于贝叶斯框架的多参数联合反演模型与时空协同克里金-STL 数 据融合算法, 有效解决了多源异构数据在统一时空基准下的深度融合问题。最后, 构建了结构约束− 物性填充的掘进工作面高精度动态三维地质模型, 设计了基于改进 A* 算法的地质适应性导航策略, 该策略将地质模型中的水害、构造等风险区域量化为路径搜索的代价函数, 结合数字孪生系统的互 馈更新机制, 实现了掘进路径的自主规划与实时纠偏。经工程实践验证, 在某矿 24104 工作面成功 识别隐伏采空积水异常区 1 处, 巷道掘进周期由 107 d 减少至 67 d, 效率提高了约 37%。该系统突 破了传统"探−掘"分离模式, 为煤矿巷道快速掘进的长距离超前探测和高精度地质导航提供了地质 数据保障。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: 基于钻孔综合物探的透明掘进地质导航系统构建方法.
– Name: TitleAlt
  Label: Alternate Title
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  Data: Construction method of a transparent tunneling geological navigation system based on integrated borehole geophysical exploration.
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  Data: <searchLink fieldCode="AR" term="%22范+涛%22">范 涛</searchLink><relatesTo>1,2,3</relatesTo><i> fantao4444@163.com</i><br /><searchLink fieldCode="AR" term="%22刘再斌%22">刘再斌</searchLink><relatesTo>1,2,4</relatesTo><br /><searchLink fieldCode="AR" term="%22程建远%22">程建远</searchLink><relatesTo>3,5</relatesTo><br /><searchLink fieldCode="AR" term="%22李+卫%22">李 卫</searchLink><relatesTo>1,2,5</relatesTo><br /><searchLink fieldCode="AR" term="%22郝+跃%22">郝 跃</searchLink><relatesTo>1,2,5</relatesTo><br /><searchLink fieldCode="AR" term="%22代振华%22">代振华</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22段啸风%22">段啸风</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22刘文明%22">刘文明</searchLink><relatesTo>1,2,4</relatesTo><br /><searchLink fieldCode="AR" term="%22李贵红%22">李贵红</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22高耀全%22">高耀全</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Coal+Science+%26+Technology+%280253-2336%29%22">Coal Science & Technology (0253-2336)</searchLink>. Feb2026, Vol. 54 Issue 2, p402-415. 14p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Geophysical+well+logging%22">Geophysical well logging</searchLink><br />*<searchLink fieldCode="DE" term="%22Geophysical+prospecting%22">Geophysical prospecting</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br />*<searchLink fieldCode="DE" term="%22Excavation+%28Civil+engineering%29%22">Excavation (Civil engineering)</searchLink><br />*<searchLink fieldCode="DE" term="%22Geological+modeling%22">Geological modeling</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Accurate acquisition of advanced geological information and experience-based decision-making remain major challenges for intelligent coal mine excavation. This study proposes a construction method for a transparent excavation geological navigation system based on comprehensive drilling geophysical exploration. Integrating the collaborative advanced detection technology of drilling geophysical exploration, multi-source geological data fusion interpretation, and navigation route planning algorithms, the study presents an integrated "detection-guidance-excavation" architecture. The innovative breakthroughs include: A collaborative mechanism for the drilling-geophysical data chain was established. By innovatively integrating borehole transient electromagnetic stereo detection, borehole ground-penetrating radar (GPR) refined imaging, and measurement-while-drilling natural gamma lithology identification technologies, synchronous and refined multi-parameter detection of concealed water-bearing bodies, geological structures, and coal seam roof/floor undulations was achieved within a 1 000 m advance distance and 30 m radial range using a single directional long borehole. A multi-parameter joint inversion model based on the Bayesian framework and a spatiotemporal collaborative Kriging-STL data fusion algorithm were proposed, effectively solving the deep fusion problem of multi-source heterogeneous data under a unified spatiotemporal reference. A high-precision dynamic 3D geological model of the tunneling face featuring structural constraints and physical property filling was constructed, and a geological adaptive navigation strategy based on an improved A* algorithm was designed. This strategy quantifies geological risk areas such as water hazards and structures into cost functions for path searching. Combined with the mutual feedback update mechanism of the digital twin system, it realizes autonomous planning and real-time correction of excavation paths. Engineering practice has demonstrated that the transparent excavation geological navigation system based on comprehensive borehole geophysical exploration successfully identified a concealed goaf water accumulation anomaly in the 24104 working face of a certain mine. The excavation cycle of the roadway was reduced from the original 107 days to 67 days, increasing efficiency by approximately 37%. This work transcends the traditional "exploration-excavation" separation, establishing a new paradigm for safe, efficient coal mining in complex environments. It offers reliable and accurate geological assurance for the long-distance advance detection and high-precision geological navigation of rapid roadway excavation in future coal mines. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 煤矿巷道快速掘进是保障煤炭安全高效开采的关键环节, 针对煤矿智能化掘进中面临地质信 息获取精度不足与导航决策依赖经验的双重挑战, 提出基于综合钻孔物探的透明掘进地质导航系统 构建方法。采用钻孔物探协同超前探测技术、多源地质数据融合解释和导航路线规划算法相融合的 方式, 构建了"探−导−掘"一体化架构。首先, 建立了钻孔−物探数据链协同机制, 创新集成了孔中瞬 变电磁立体探测、孔中地质雷达精细成像及随钻自然伽马岩性识别技术, 利用定向长钻孔实现了对 巷道前方 1 000 m 超前距离、径向 30 m 范围内隐伏含水体、断层构造及煤层顶底板起伏的单孔多参 数同步精细化探测。其次, 提出了基于贝叶斯框架的多参数联合反演模型与时空协同克里金-STL 数 据融合算法, 有效解决了多源异构数据在统一时空基准下的深度融合问题。最后, 构建了结构约束− 物性填充的掘进工作面高精度动态三维地质模型, 设计了基于改进 A* 算法的地质适应性导航策略, 该策略将地质模型中的水害、构造等风险区域量化为路径搜索的代价函数, 结合数字孪生系统的互 馈更新机制, 实现了掘进路径的自主规划与实时纠偏。经工程实践验证, 在某矿 24104 工作面成功 识别隐伏采空积水异常区 1 处, 巷道掘进周期由 107 d 减少至 67 d, 效率提高了约 37%。该系统突 破了传统"探−掘"分离模式, 为煤矿巷道快速掘进的长距离超前探测和高精度地质导航提供了地质 数据保障。 [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191788632
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        Value: 10.12438/cst.2025-0692
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      – Code: chi
        Text: Chinese
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        PageCount: 14
        StartPage: 402
    Subjects:
      – SubjectFull: Geophysical well logging
        Type: general
      – SubjectFull: Geophysical prospecting
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      – SubjectFull: Digital twin
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      – SubjectFull: Excavation (Civil engineering)
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      – SubjectFull: Geological modeling
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      – TitleFull: 基于钻孔综合物探的透明掘进地质导航系统构建方法.
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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