Improved Genetic Algorithm for Injection Production Parameters Optimized Design of Steam Soak Well

Autor: Jun Feng Shi, Tian Jian Sun, Lei Xu
Rok vydání: 2012
Předmět:
Zdroj: Advanced Materials Research. :435-439
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.466-467.435
Popis: He development effect of steam soak well is influenced by the combination of the following parameters: injection speed, dryness fraction of steam, cyclic steam injection volume, soaking time and bottom hole flowing pressure. Take the advantage of annealed genetic algorithm which characterize with the traits of fast search and globally optimization. Based on the mathematical model of the output of the steam soak well, and optimize injection production parameter of the steam soak well which is aimed at the cycle average daily profit maximum, and make the field application.
Databáze: OpenAIRE