USE OF WELL LOGS FOR PREDICTION OF ROCK DRILLABILITY WITH APPLICATION TO COMPUTERIZED DRILLING CONTROL

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作者：

SOMERTON, WH

ELHADIDI, S

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MECHANICAL ENGINEERING | 1970年 / 92卷 / 12期

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TH [机械、仪表工业];

学科分类号：

0802 ;

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[1] Application of sonic logs to rock drillability and bit selection
Zhao, J.
Cai, Y.
Lin, Y.
[J]. Cejing Jishu/Well Logging Technology, 2001, 25 (04): : 305 - 307
[2] Prediction of drillability in hard rock tunnelling by drilling and blasting
Thuro, K
[J]. TUNNELS FOR PEOPLE, VOLS 1 AND 2, 1997, : 103 - 108
[3] Strength prediction and drillability identification for rock based on measurement while drilling parameters
Wang, Shao-feng
Wu, Yu-meng
Cai, Xin
Zhou, Zi-long
[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2023, 30 (12) : 4036 - 4051
[4] Drilling rate prediction of an open pit mine using the rock mass drillability index
Ataei, Mohammad
KaKaie, Reza
Ghavidel, Mehdi
Saeidi, Omid
[J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2015, 73 : 130 - 138
[5] APPLICATION OF WELL LOGS TO GEOPRESSURE PROBLEMS IN SEARCH, DRILLING AND PRODUCTION OF HYDROCARBONS
FERTL, WH
TIMKO, DJ
[J]. REVUE DE L INSTITUT FRANCAIS DU PETROLE ET ANNALES DES COMBUSTIBLES LIQUIDES, 1971, 26 (09): : 687 - &
[6] Application of Artificial Neural Networks in Prediction of Uniaxial Compressive Strength of Rocks Using Well Logs and Drilling Data
Asadi, Adel
[J]. ISRM EUROPEAN ROCK MECHANICS SYMPOSIUM EUROCK 2017, 2017, 191 : 279 - 286
[7] A modified rock physics model of overmature organic-rich shale: application to anisotropy parameter prediction from well logs
Zhang, Feng
[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING, 2019, 16 (01) : 92 - 104
[8] Application of Kruskal multidimensional scaling (MDS) to rock type identification from well logs
Matyas, Vaclav
[J]. Log Analyst, 1995, 36 (01): : 28 - 34
[9] On combined use of bed boundary logs and formation testing while drilling to estimate well productivity
Jalali, Younes
Haq, Shahid
[J]. 19th Formation Evaluation Symposium of Japan 2013, 2013,
[10] Application of Artificial Neural Network on prediction of drilling rate in deep well
Liu, Chuntian
Sun, Yuxue
Long, Anhou
Peng, Jianwei
[J]. Proceedings of the First International Conference on Information and Management Sciences, 2002, 1 : 106 - 108

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