loading
Documents

Research.Publish.Connect.

Paper

Authors: María Hallo 1 ; Byron Jaramillo 2 ; José Aguilar 3 ; Hector Lozada 4 and Edgar Camargo 5

Affiliations: 1 Escuela Politécnica Nacional, Ecuador ; 2 NOUX C.A., Ecuador ; 3 Escuela Politécnica Nacional and Universidad de los Andes, Ecuador ; 4 Universidad de los Andes, PDVSA and Línea de Servicio AIT, Venezuela ; 5 PDVSA and Línea de Servicio AIT, Venezuela

ISBN: 978-989-758-263-9

Keyword(s): Genetic Programming, Electro Submersible Pump Efficiency, Identification Problem, Well Production.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Components for Control ; Intelligent Control Systems and Optimization ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Systems Modeling and Simulation

Abstract: This paper presents an approach to get a mathematical model for describing the production of an Electro Submersible Oil Pumping System (ESP). The determination of this mathematical model considering the variables of the process, is a very hard task. In this case, we propose the determination of this model using a data approach, in order to exploit the large quantity of data about the process obtained from its sensors. Our approach based on data uses the genetic programming techniques for the identification of the mathematical model, which follows an evolutionary process to solve the problem. Our approach has been implemented using an extension of R program. The training data were collected from an oil well. This paper presents the results of the training phase and of the generated models after several iterations. Additionally, the paper analyses the differences between the generated models, according to the number of variables considered, the complexity of the expressions, and the err or. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.84.139.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hallo, M.; Jaramillo, B.; Aguilar, J.; Lozada, H. and Camargo, E. (2017). Developing a Mathematical Model of Oil Production in a Well That Uses an Electric Submersible Pumping System.In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-263-9, pages 230-237. DOI: 10.5220/0006421202300237

@conference{icinco17,
author={María Hallo. and Byron Jaramillo. and José Aguilar. and Hector Lozada. and Edgar Camargo.},
title={Developing a Mathematical Model of Oil Production in a Well That Uses an Electric Submersible Pumping System},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2017},
pages={230-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006421202300237},
isbn={978-989-758-263-9},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Developing a Mathematical Model of Oil Production in a Well That Uses an Electric Submersible Pumping System
SN - 978-989-758-263-9
AU - Hallo, M.
AU - Jaramillo, B.
AU - Aguilar, J.
AU - Lozada, H.
AU - Camargo, E.
PY - 2017
SP - 230
EP - 237
DO - 10.5220/0006421202300237

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.