Proceedings Article10.1109/APCASE.2015.10
Intelligent Well Systems
Edgar Camargo,Egner Aceros,Jose Aguilar +2 more
- 14 Jul 2015
- pp 13-18
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TL;DR: The approach allows determining and controlling the oil or gas flow that a well can produce, taking into account the completion geometry and the reservoir potential, as well as the criteria related to the well's performance curves of oil and gas.
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Abstract: In this paper is presented an Intelligent Well Systems for the Industrial Production of Oil. Such scheme is tested for gas lift (GL) oil wells. The proposal is based on the production assessment, in the utilization of the process variables (specifically, the bottom-well and surfaces pressures), and the operational scenarios detection (in the case study, the production of the oil well), with the objective of optimizing the producing performance of the well. The proposal combines intelligent techniques (Fuzzy Classification Systems) and Mass Energy Balance. Our approach allows determining and controlling the oil or gas flow that a well can produce, taking into account the completion geometry and the reservoir potential, as well as the criteria related to the well's performance curves of oil and gas.
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Citations
A First Principles Model for Virtually Sensing Operational Parameters in an ESP Well
Egner Aceros,Edgar Camargo,Jose I. Canelon,Alexander Verde +3 more
- 28 Aug 2018
TL;DR: The proposed virtual sensor exhibits high accuracy using a model with simplified equations, which is completely suitable for direct installation in the ESP well (on a PLC or a RTU) for real-time monitoring, control and optimization.
2
Automatic Gas Well Flowrate Control System for Urengoy Gas-Condensate Field
M. Yu. Prakhova,A. N. Krasnov,E. A. Khoroshavina +2 more
- 01 Sep 2019
TL;DR: In this article, an automatic flowrate control system is proposed to complement the standard well-based parameter recorder; the system is based on a sensor that uses acoustic emissions to detect sand and condensed moisture.
Research on Multi-source DC microgrid Distributed Group Control Strategy for Pumping Well Cluste
Jiguang Yue,Zhen Sun,Haoguang Li,Wei Zhu,Fengming Li,Zhenjie Wang +5 more
- 13 Nov 2023
TL;DR: Multi-source DC microgrid distributed group control strategy for pumping well cluster effectively suppresses power peak and valley values and voltage fluctuations, reducing active power by 6% without increasing the cost of new hardware.
Development of a distributed group control strategy for pumping well groups connected by multisource DC microgrids
Jixiang Yue,Zhenhua Sun,Haoguang Li,Wenyu Zhu,Fengming Li,Zhenjie Wang +5 more
TL;DR: A distributed control strategy for multisource DC microgrid pumping unit well groups is developed using a weighted moving average algorithm, effectively suppressing power peak and valley values and voltage fluctuations, reducing active power fluctuation rate by 70% and DC bus voltage fluctuation by 80%.
References
Self-Learning Reservoir Management
Luigi Saputelli,Michael Nikolaou,Michael J. Economides +2 more
- 01 Jan 2003
44
Advanced supervision of oil wells based on soft computing techniques
Edgar Camargo,Jose Aguilar +1 more
- 01 Jul 2014
TL;DR: A hybrid intelligent model of supervision based on Evolutionary Computation and Fuzzy Systems to improve the performance of the Oil Industry, which is used for Operational Diagnosis in petroleum wells based on the gas lift (GL) method.
Hybrid intelligent supervision model of oil wells
Edgar Camargo,Jose Aguilar +1 more
- 06 Jul 2014
TL;DR: A hybrid intelligent model based on Evolutionary Computation and Fuzzy Systems is presented to improve the performance of the Oil Industry, which is used for Operational Diagnosis in petroleum wells that require gas lift.
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