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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

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 er ror. (More)

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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; ISSN 2184-2809, SciTePress, 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},
issn={2184-2809},
}

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
IS - 2184-2809
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
PB - SciTePress