Intelligent Drilling and Completion: A Review-Reference-Cited by-同舟云学术

Intelligent Drilling and Completion: A Review

Published:2022-11 Issue: Volume:18 Page:33-48
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Li Gensheng,Song Xianzhi,Tian Shouceng,Zhu Zhaopeng

Funder

China National Funds for Distinguished Young Scientists

National Key Research and Development Program of China

Ministry of Science and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference160 articles.

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3. Rommetveit R, Bjørkevoll KS, Ødegård SI, Herbert M, Halsey GW, Kluge R, et al. eDrilling used on ekofisk for real-time drilling supervision, simulation, 3D visualization and diagnosis. In: Proceedings of the Intelligent Energy Conference and Exhibition; 2008 Feb 25–27; Amsterdam, the Netherlands. Richardson: OnePetro; 2008.

4. Abughaban M, Alshaarawi A, Meng C, Ji G, Guo W. Optimization of drilling performance based on an intelligent drilling advisory system. In: Proceedings of the International Petroleum Technology Conference; 2019 Mar 26–28; Beijing, China. Richardson: OnePetro; 2019.

5. Akinsete O, Adesiji BA. Bottom-hole pressure estimation from wellhead data using artificial neural network. In: Proceedings of the SPE Nigeria Annual International Conference and Exhibition; 2019 Aug 5–7; Lagos, Nigeria. Richardson: OnePetro; 2019.

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