An optimal approach for the early-time well test analysis

摘要

In the paper,a optimal approach using genetic algorithm (GA) is proposed to analyze the early -time data of a transient test with wellbore storage and skin effects.THis is a robust way of achieving a early-time well test interpretation by combining automated type-curve matching method of nonlinear parameter estimation.The GA is used to achieve good initial estimates of reservoir parameters.The best estimates of reservoir parameters are then computed using nonlinear regression.This is a computer-aided interpretation.Using this method,the optimal values of reservoir permeability,wellbore storage coefficient and skin factor can be obtained.