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Volumn 67, Issue 1, 2015, Pages 41-45

Calibration of rebound hardness numbers to unconfined compressive strength in shale formations

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC LOGGING; FRACTURE; HARDNESS; PETROPHYSICS; ROCK MECHANICS; SHALE; WAVE PROPAGATION;

EID: 85010414346     PISSN: 01492136     EISSN: None     Source Type: Journal    
DOI: 10.2118/0115-0041-jpt     Document Type: Article
Times cited : (8)

References (7)
  • 1
    • 84927585057 scopus 로고    scopus 로고
    • New application of rebound hardness numbers to generate logging of unconfined compressive strength in laminated shale formations
    • Minneapolis, Minnesota, USA, 1-4 June
    • Lee, J.S., Smallwood, L., and Morgan, E. 2014. New application of rebound hardness numbers to generate logging of unconfined compressive strength in laminated shale formations. Paper No. 14-6972 in Proceedings of the 48th US Rock Mechanics/Geomechanics Symposium, Minneapolis, Minnesota, USA, 1-4 June.
    • (2014) Paper No. 14-6972 in Proceedings of the 48th US Rock Mechanics/Geomechanics Symposium
    • Lee, J.S.1    Smallwood, L.2    Morgan, E.3
  • 2
    • 0018105755 scopus 로고
    • New dynamic method for hardness testing of metallic materials
    • Leeb, D.H. 1978. New dynamic method for hardness testing of metallic materials. VDI Report. 308:123-128.
    • (1978) VDI Report , vol.308 , pp. 123-128
    • Leeb, D.H.1
  • 3
    • 13044294426 scopus 로고    scopus 로고
    • Improving the prediction of the UCS, by equotip readings using statistical and neural network models
    • Meulenkamp, F. 1997. Improving the prediction of the UCS, by Equotip readings using statistical and neural network models. Memoirs of the Centre for Engineering Geology in the Netherlands, 162:127.
    • (1997) Memoirs of the Centre for Engineering Geology in the Netherlands , vol.162 , pp. 127
    • Meulenkamp, F.1
  • 4
    • 0032997179 scopus 로고    scopus 로고
    • Application of neural networks for the prediction of the unconfined compressive strength (UCS) from equotip hardness
    • Meulenkamp, F. and Grima, M. 1999. Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness. Int. J. RockMech. Min. Sci. 30:29-39.
    • (1999) Int. J. RockMech. Min. Sci. , vol.30 , pp. 29-39
    • Meulenkamp, F.1    Grima, M.2
  • 6
    • 85042988474 scopus 로고    scopus 로고
    • Copyright Switzerland
    • Proceq S.A. 2014. Equotip. Copyright Switzerland.
    • (2014) Equotip
    • Proceq, S.A.1
  • 7
    • 84927620171 scopus 로고    scopus 로고
    • Rock and aggregate test procedures
    • Geotechnical Laboratory DGM. Thimphu, Bhutan
    • Verwall, W. and Mulder, A. 2000. Rock and aggregate test procedures. Rock and Aggregate Laboratory Manual. 13-14. Geotechnical Laboratory DGM. Thimphu, Bhutan.
    • (2000) Rock and Aggregate Laboratory Manual , vol.13-14
    • Verwall, W.1    Mulder, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.