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Cui, S. (2010). Some Improvements of the Genetic Algorithm and Their Applications. Master’s Degree Thesis, Hefei: University of Science and Technology of China.

has been cited by the following article:

• TITLE: Porosity Calculation of Tight Sand Gas Reservoirs with GA-CM Hybrid Optimization Log Interpretation Method

  AUTHORS: Ya-Nan Duan, Bao-Zhi Pan, Xue Han, Hai-Tao Zhang, Xiao-Ming Yang

  KEYWORDS: Porosity, Tight Sand Gas Reservoirs, Low Porosity and Low Permeability, GA-CM, Optimization, Multicomponent Explanation Model

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.2 No.3, June 13, 2014

  ABSTRACT: Tight sand gas reservoirs are our country’s fairly rich unconventional natural gas resources, and their exploration and development is of prime importance. Sulige Gas Field which located in the northern Ordos Basin is tight sand gas reservoirs. It is typically featured by low porosity and low permeability, and the error of porosity calculation by traditional methods is larger. Multicomponent explanation model is built by analyzing the thin slice data, and the objective function is got according to the concept of optimization log interpretation method. This paper puts the Genetic Algorithm and the Complex Algorithm together to form the GA-CM Hybrid Algorithm for searching the optimal solution of the objective function, getting the porosity of tight sandstone gas reservoirs. The deviation got by this method is lesser compared with the core porosity, with a high reliability.