Application of machine learning in the prediction of compressive, and shear bond strengths from the experimental data in oil well cement at 80 °C. Ensemble trees boosting approach-Reference-Cited by-同舟云学术

Application of machine learning in the prediction of compressive, and shear bond strengths from the experimental data in oil well cement at 80 °C. Ensemble trees boosting approach

Published:2022-01 Issue: Volume:317 Page:125778
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Nyakilla Edwin E.,Jun Gu,Kasimu Naswibu A.,Robert Edwin F.,Innocent Ndikubwimana,Mohamedy Thamudi,Shaame Mbarouk,Ramadhani Ngata Mbega,Mabeyo Petro E.

Funder

China University of Geosciences, Wuhan

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference70 articles.

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3. A study of cement/mudcake/formation interfaces and their impact on the sealing quality of oilwell cement;Plank;IADC/SPE Asia Pacific Drilling Technology Conference,2014