GB2624954A - Transient electromagnetic rapid tunnel prediction method - Google Patents

Transient electromagnetic rapid tunnel prediction method Download PDF

Info

Publication number
GB2624954A
GB2624954A GB2311850.8A GB202311850A GB2624954A GB 2624954 A GB2624954 A GB 2624954A GB 202311850 A GB202311850 A GB 202311850A GB 2624954 A GB2624954 A GB 2624954A
Authority
GB
United Kingdom
Prior art keywords
tunnel
transient electromagnetic
resistivity
model
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
GB2311850.8A
Other languages
English (en)
Other versions
GB202311850D0 (en
Inventor
Shen Fengli
Tang Rongjiang
Gan Lu
Li Fusheng
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yangtze River Delta Research Institute of UESTC Huzhou
Original Assignee
Yangtze River Delta Research Institute of UESTC Huzhou
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yangtze River Delta Research Institute of UESTC Huzhou filed Critical Yangtze River Delta Research Institute of UESTC Huzhou
Publication of GB202311850D0 publication Critical patent/GB202311850D0/en
Publication of GB2624954A publication Critical patent/GB2624954A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/08Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Electromagnetism (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Geophysics And Detection Of Objects (AREA)
GB2311850.8A 2022-11-30 2023-08-02 Transient electromagnetic rapid tunnel prediction method Pending GB2624954A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211534973.4A CN115826059A (zh) 2022-11-30 2022-11-30 一种瞬变电磁快速超前预测方法

Publications (2)

Publication Number Publication Date
GB202311850D0 GB202311850D0 (en) 2023-09-13
GB2624954A true GB2624954A (en) 2024-06-05

Family

ID=85544800

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2311850.8A Pending GB2624954A (en) 2022-11-30 2023-08-02 Transient electromagnetic rapid tunnel prediction method

Country Status (2)

Country Link
CN (1) CN115826059A (zh)
GB (1) GB2624954A (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116859478B (zh) * 2023-09-05 2023-11-28 中国地质大学(武汉) 一种基于瞬变电磁法成像的地下水模拟方法及系统
CN118465853A (zh) * 2024-07-15 2024-08-09 吉林大学 基于长短期记忆网络的航空瞬变电磁二维反演方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116859470A (zh) * 2023-07-07 2023-10-10 电子科技大学长三角研究院(湖州) 隧道超前预测电磁观测系统及探测方法

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116859470A (zh) * 2023-07-07 2023-10-10 电子科技大学长三角研究院(湖州) 隧道超前预测电磁观测系统及探测方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
IEEE Geoscience and Remote Sensing Letters, Qin et el, "Fast Resistivity Imaging of Transient Electromagnetic Using ANN", Sept. 2019 *

Also Published As

Publication number Publication date
CN115826059A (zh) 2023-03-21
GB202311850D0 (en) 2023-09-13

Similar Documents

Publication Publication Date Title
Zhou et al. Dynamic prediction for attitude and position in shield tunneling: A deep learning method
Callens et al. Using Random forest and Gradient boosting trees to improve wave forecast at a specific location
GB2624954A (en) Transient electromagnetic rapid tunnel prediction method
Wang et al. A hybrid intelligent approach for constructing landslide displacement prediction intervals
Qin et al. An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine
Mao et al. Subsurface velocity inversion from deep learning-based data assimilation
Tan et al. Multi-node load forecasting based on multi-task learning with modal feature extraction
Gu et al. Health and safety situation awareness model and emergency management based on multi-sensor signal fusion
Lee et al. Cultural heritage and the intelligent internet of things
Zhang et al. A new type of dual-scale neighborhood based on vectorization for cellular automata models
Li et al. Research on robustness of five typical data-driven fault diagnosis models for nuclear power plants
Raihan A comprehensive review of the recent advancement in integrating deep learning with geographic information systems
Ling et al. Multi-nuclide source term estimation method for severe nuclear accidents from sequential gamma dose rate based on a recurrent neural network
Wenxiang et al. Optimization of deep learning model for coastal chlorophyll a dynamic forecast
Meng et al. Physical knowledge-enhanced deep neural network for sea surface temperature prediction
Hao et al. A prediction model of significant wave height in the south china sea based on attention mechanism
Liu et al. Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning
Zheng et al. Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2. 5 concentration long-term prediction
Bao et al. Application of lightning spatio-temporal localization method based on deep LSTM and interpolation
Zhang et al. Deep learning for large-scale point cloud segmentation in tunnels considering causal inference
Giaremis et al. Storm surge modeling in the AI era: Using LSTM-based machine learning for enhancing forecasting accuracy
Li et al. A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method
Xu et al. Detection method of tunnel lining voids based on guided anchoring mechanism
Naeini et al. A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region
CN109102102A (zh) 基于多变量相空间重构和svr的光伏出力短期预测方法