Study on the Methods of Layer Adjustment in Gas Dynamic Reserve Measurement

2013 ◽  
Vol 671-674 ◽  
pp. 142-145
Author(s):  
Yi Zhang ◽  
Bang Hua Liu ◽  
Qing Min Gan ◽  
Hai Xia Shi ◽  
Jun Feng Liu

To get the accurate gas pool dynamic measurement is the one of the basic work of oil field development. The geologic conditions, one of the aspects, limited the gas pool. It often appears reshooting another layer to commingled production or block off the seriously water producer in layer adjustment, calculation of reserves depends on the alteration of the model condition. Through the material balance and its further work, set the gas pool reserves calculation methods under the layer adjustment condition. The closed constant volume gas pool, its drawdown curve becomes the transition with the adjustment of the layer. Through the original formation pressure with two different slope straight lines before and after adjustment, Using linear extrapolation can get the reserves before and after adjusted.

2002 ◽  
Vol 1 (2) ◽  
Author(s):  
Yvan J. Túpac ◽  
Marley Maria B.R. Vellasco ◽  
Marco Aurélio C. Pacheco

This paper presents a Genetic Algorithm application for selecting the best alternative for oil field development under certainty. The alternatives in this study are related to the arrangement of wells in a known and delimited oil reservoir and serve as a basis for calculating the net present value, which is used to assess the optimization process: the optimal alternative is the one that maximizes the Net Present Value of the field. The results obtained have revealed that the Genetic Algorithm model was able to find good alternatives for the oil field development, achieving good results for the Net Present Value.


2002 ◽  
Vol 1 (2) ◽  
pp. 51 ◽  
Author(s):  
Yvan J. Túpac ◽  
Marley Maria B.R. Vellasco ◽  
Marco Aurélio C. Pacheco

This paper presents a Genetic Algorithm application for selecting the best alternative for oil field development under certainty. The alternatives in this study are related to the arrangement of wells in a known and delimited oil reservoir and serve as a basis for calculating the net present value, which is used to assess the optimization process: the optimal alternative is the one that maximizes the Net Present Value of the field. The results obtained have revealed that the Genetic Algorithm model was able to find good alternatives for the oil field development, achieving good results for the Net Present Value.


2021 ◽  
Author(s):  
Vil Syrtlanov ◽  
Yury Golovatskiy ◽  
Ivan Ishimov

Abstract In this paper the simplified way is proposed for predicting the dynamics of liquid production and estimating the parameters of the oil reservoir using diagnostic curves, which are a generalization of analytical approaches, partially compared with the results of calculations on 3D simulation models and with actual well production data.


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