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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.