E3S Web Conf.
Volume 321, 2021XIII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2021)
|Number of page(s)||6|
|Published online||11 November 2021|
Development of a Virtual Metering System Application for High Water Cut Wells with Electric Submersible Pumps (ESPS) – a Case Study for Quifa Field
Frontera Energy, Operations Technology Department, Calle 110 # 9 – 25, Bogota, Colombia
* Corresponding author: firstname.lastname@example.org
Well surveillance is a mandatory requirement for reservoir characterization and production optimization that every asset must aim for. To guarantee constant monitoring of a single well, installing conventional multi-phases flow meters systems is necessary. As an alternative way, this paper presents a Virtual Metering System (VMS) developed to estimate flow rates in oil wells with high water cut operating with electric submersible pumps as artificial lift systems. The VMS starts from a mathematical model based on production variables, well data, and pump performance curves to estimate fluids flow rates and water cut using a Newton Raphson Multivariate Method. The VMS was implemented in 11 wells in Quifa Field, Colombia. The VMS is constantly feeding by data from the PI System. The VMS results show a deviation of less than 3% in calculating the fluid flow rate and less than 5% in estimating the water cut.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.