Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks-Reference-Cited by-同舟云学术

Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks

Published:2021-03-08 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Elkatatny Salaheldin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s13369-021-05465-2.pdf

Reference31 articles.

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3. Nes, O.-M.; Fjær, E.; Tronvoll, J.; Kristiansen, T.G.; Horsrud, P.: Drilling time reduction through an integrated rock mechanics analysis. In: SPE/IADC Drill. Conf. (2005).https://doi.org/10.2118/92531-MS

4. Barree, R.D.; Gilbert, J.V.; Conway, M.: Stress and rock property profiling for unconventional reservoir stimulation. In: SPE Hydraul. Fract. Technol. Conf. (2009).https://doi.org/10.2118/118703-MS

5. King, M.S.: Static and dynamic elastic properties of rocks from the Canadian shield. Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 20, 237–241 (1983). https://doi.org/10.1016/0148-9062(83)90004-9

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