Research Article | OPEN ACCESS
The Horizontal Well Drilling Parameter Optimization Design Research
1, 2Wang Yan, 1Li Hui, 3Wang Juan, 3Luo Zhongming and 4Xu Tao
1College of Earth Science and Resources, Chang’an University, Xi’an 710064
2College of Materials and Chemistry and Chemical Engineering, Chengdu University of Technology, Chengdu 610051
3Research Institute of Petroleum Exploration and Development, Chuanqing Oilfield Company, Chengdu 610051
4Engineering Technology Research Institute in Sinopec North China Petroleum Bureau, Zhengzhou 450006
Research Journal of Applied Sciences, Engineering and Technology 2013 9:1534-1537
Received: November 08, 2012 | Accepted: January 05, 2013 | Published: July 15, 2013
Abstract
Extended-reach drilling technology has rapidly developed during the past three decades. It requires improved new models and technology. This study has created a rapid optimum method to design the horizontal well drilling parameters. Genetic Algorithm is applied in this method to optimize the parameters such WOB, RPM. According to practical situation, the suitable fitness function and value of operators of GA are given and reasonable convergence delay-independent conditions are set. Based on the intelligence and global quick search of GA and the convergence of GA, the design parameters can be globally optimized quickly and accurately. An example is taken to prove that the application of GA in the field of drilling parameters is successful. This optimization method based on GA can provide guide for field design.
Keywords:
Drilling parameters, GA, horizontal well, nonlinear optimization,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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