Title
Optimization of the Water Alternating Gas Injection Strategy in an Oil Reservoir Using Evolutionary Algorithms
Date Issued
28 September 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Centro Federal de Educação Tecnológica
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The majority of the countries use oil as the main source of their energetic matrices. Techniques of Enhanced Oil Recovery (EOR) have been widely used with the aim of increasing oil and gas recovery trapped in oil reservoir, as 011 as improving the sweep and displacement efficiency. The use of tertiary (or advanced) recovery techniques such as Water Alternating Gas (WAG) injection has been considered promising to attend the expectations of improving the oil recovery, at the same it contributes with changes in some chemical properties of the reservoir that facilitate its exploitation. This paper describes the optimization of a water alternating gas injection strategy in an oil reservoir taking into account techniques of Evolutionary Computing used for maximizing the Net Present Value (NPV) of the field in analysis. It was created a program, developed in JAVA, that performs the optimization through the use of the custom evolutionary algorithm implemented and also uses the commercial software GEM®, which executes the numerical simulation and deliver important data to the optimizer.
Language
English
OCDE Knowledge area
Ciencias de la computación
Subjects
Scopus EID
2-s2.0-85056272847
Resource of which it is part
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
ISBN of the container
9781509060177
Conference
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
Sources of information:
Directorio de Producción Científica
Scopus