A Major Shift In Reservoir Management Strategies And Best Practices In A Mature Reservoir To Overcome The Current Reservoir Challenges: Case Study

2020 ◽  
Author(s):  
Alaa Alshalabi ◽  
Haitham Al Saadi ◽  
Flavien Maire ◽  
Tony Thomas ◽  
Talla Gueye ◽  
...  
2014 ◽  
Author(s):  
O.. Espinola ◽  
M.. Rocha ◽  
N. C. Alvarez ◽  
J.R.. R. Ramirez ◽  
A.. Solis ◽  
...  

Abstract The integrated asset modeling has gained popularity in the last years because it has a positive impact on field development, optimization and reservoir management. Especially it has become a must be to properly analyze the interaction between a reservoir and its production facilities or to predict the behavior of several fields sharing a common surface production facility (Ghorayeb, k. 2005). As a result of the strategic development plan, PEMEX Veracruz Asset has been discovering dry gas fields which must be produced through shared production facilities in order to be economic. This poses a complex operational scenario that demands the use of technology that enables the analysis of the whole system and the interrelation of its elements to support the reservoir management strategies. This paper describes a case study in which four reservoir models were coupled with a production network model, with the objective to maximize the recovery factor, identify operational problems along the exploitation, and also evaluate the water production impact, through the Integrated Asset Modeling (IAM) enabling the design of different exploitation strategies including compression stages and evaluate them both technically and economically. Besides it includes a full description of the modeling process with all the assumptions, constraints, solving method and results obtained. This methodology has been successfully implemented adding value to the asset due to a proven improvement in the reservoir management, operational plans and decision making process.


1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.


Sign in / Sign up

Export Citation Format

Share Document