scholarly journals Optimization of Vertical Well Placement for Oil Field Development Based on Basic Reservoir Rock Properties using a Genetic Algorithm

2012 ◽  
Vol 44 (2) ◽  
pp. 106-127 ◽  
Author(s):  
Tutuka Ariadji ◽  
◽  
Pudjo Sukarno ◽  
Kuntjoro Adji Sidarto ◽  
Edy Soewono ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Oil Field ◽  
Reservoir Rock ◽  
Rock Properties ◽  
Well Placement ◽  
Vertical Well ◽  
Field Development ◽  
Oil Field Development

scholarly journals SELECTION OF ALTERNATIVES FOR OIL FIELD DEVELOPMENT BY GENETIC ALGORITHMS

2002 ◽  
Vol 1 (2) ◽  
Author(s):  
Yvan J. Túpac ◽  
Marley Maria B.R. Vellasco ◽  
Marco Aurélio C. Pacheco
Keyword(s):  
Genetic Algorithm ◽  
Net Present Value ◽  
Oil Field ◽  
Oil Reservoir ◽  
Present Value ◽  
Field Development ◽  
Oil Field Development ◽  
The One ◽  
Genetic Algorithm Model ◽  
Selection Of

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.

scholarly journals SELECTION OF ALTERNATIVES FOR OIL FIELD DEVELOPMENT BY GENETIC ALGORITHMS

2002 ◽  
Vol 1 (2) ◽  
pp. 51 ◽  
Author(s):  
Yvan J. Túpac ◽  
Marley Maria B.R. Vellasco ◽  
Marco Aurélio C. Pacheco
Keyword(s):  
Genetic Algorithm ◽  
Net Present Value ◽  
Oil Field ◽  
Oil Reservoir ◽  
Present Value ◽  
Field Development ◽  
Oil Field Development ◽  
The One ◽  
Genetic Algorithm Model ◽  
Selection Of

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.

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