Research progress on intelligent rock mass detection method based on drilling parameters

doi:10.12143/j.ztgc.2024.05.009

Home > Archive>Volume 51, Issue 5, 2024 >77-84. DOI:10.12143/j.ztgc.2024.05.009

Research progress on intelligent rock mass detection method based on drilling parameters
DOI:
                        10.12143/j.ztgc.2024.05.009
                    
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Author:
                        BAI Jun1,2BAI Jun
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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WANG Sheng1,2WANG Sheng
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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LAI Kun1,2LAI Kun
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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XU Shiyi1,2XU Shiyi
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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ZHANG Jie1,2ZHANG Jie
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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ZHANG Jie1,2ZHANG Jie
College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
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Affiliation:1.College of Environmental and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;2.State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu Sichuan 610059, China
Clc Number:P634.9
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Abstract:

Under the dual influence of the extremization of drilling construction conditions and the industrial transformation brought about by the development of new-generation information technologies， the intelligence of drilling technology has become an inevitable trend in the development of drilling technology. Intelligent drilling， in line with the needs of the Fourth Industrial Revolution， utilizes the theories and methods of information technology to transform and enhance traditional drilling models and technical systems， achieving digital empowerment and digital transformation of drilling projects， thereby becoming the core driving force for the development of drilling technology. In this context， this paper focuses on the critical issue of intelligent rock mass recognition based on real-time drilling key parameters， providing a comprehensive overview of non-core sampling in-situ rock mass testing technology based on the drilling process. Finally， it offers an outlook on the intelligent development of drilling engineering. By reviewing the latest technologies and research progress in this field， a new recognition system for deep fusion of process-physical multimodal information during drilling is proposed， aiming to realize intelligent identification of rock and soil masses during the drilling process and improve the quality and efficiency of major infrastructure engineering investigation.

Key words:intelligent drilling;real-time key parameters;intelligent rock mass recognition;physical information fusion;multimodal fusion;engineering investigation

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Received:July 20,2024
Revised:August 05,2024
Adopted:August 06,2024
Online: October 08,2024
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