Water Control in High-Water-Cut Well Using Cutting-Edge Polymers: Production Optimization Methodology Applied in Burgan Field, Kuwait

2020 ◽  
Author(s):  
Wuroud Al-Fadhli ◽  
Ravi Kurma ◽  
Kutbuddin Bhatia ◽  
Alaa Alboueshi ◽  
Amr Abdelbaky
2017 ◽  
Author(s):  
Ibrahim Al-Hulail ◽  
Muzzammil Shakeel ◽  
Ahmed Binghanim ◽  
Mohamed Zeghouani ◽  
Raed Rahal ◽  
...  

2021 ◽  
Author(s):  
Saransh Surana

Abstract Reservoir uncertainties, high water cut, completion integrity along with declining production are the major challenges of a mature field. These integrated with dying facilities and poor field production are key issues that each oil and gas company is facing these days. Arresting production decline is an inevitable objective, but with the existing techniques/steps involved, it becomes a cumbersome and exorbitant affair for the operators to meet their requirements. In addition, incompetent and flawed well data makes it more challenging to analyze mature fields. Although flow rate data is the most easily accessible data for mature fields, the absence of pressure data (flowing bottom-hole or wellhead pressure) remains a big obstacle for the application of conventional production enhancement and well screening strategies for most of the mature fields. A real-time optimization tool is thus constructed by developing a hybrid modelling technique that encapsulates Kriging and Fuzzy Logic to account for the imprecisions and uncertainties involved while identification of subsurface locations for production optimization of a mature field using only production data. The data from the existing wells in the field is used to generate a membership function based on its historical performance and productivity, thereby generating a spatial map of prospective areas, where secondary development operations can be taken up for production optimization.


2011 ◽  
Author(s):  
Eusebio Alejandro Rodriguez ◽  
Juan Manuel Leon Hinestrosa ◽  
Cesar Augusto Duarte ◽  
Wilson Alexander Martinez Ardila ◽  
Alexis Ortega ◽  
...  

2010 ◽  
Author(s):  
Oscar Julian Jaramillo ◽  
Ricardo Romero ◽  
German Lucuara ◽  
Alexis Ortega ◽  
Arthur William Milne ◽  
...  

Author(s):  
Renyuan Sun ◽  
Yu Chen ◽  
Yingsong Huang ◽  
Gang Cao ◽  
Aixian Huang ◽  
...  

2013 ◽  
Author(s):  
Gao Yang ◽  
Zou Honglan ◽  
Liu He ◽  
Yan Jianwen ◽  
Yang Qinghai ◽  
...  

2017 ◽  
Author(s):  
Wenting Qin ◽  
Pingya Luo ◽  
Jigang Meng ◽  
Hongwei Li ◽  
Tiancong Mao ◽  
...  

2021 ◽  
Vol 321 ◽  
pp. 02013
Author(s):  
Miguel Asuaje ◽  
Julieth Zapata ◽  
Wilmer Arcos

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.


2009 ◽  
Author(s):  
Daniel Daparo ◽  
Luis Soliz ◽  
Eduardo Roberto Perez ◽  
Carlos Iver Vidal Saravia ◽  
Philip Duke Nguyen ◽  
...  

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