Abstract: Abstract：The purpose of well test parameter optimization is to get parameters which reflect the real condition of oil and gas
reservoir by optimizing the parameter of reservoir model from the well button pressure and production data. Well test analysis is
amultiplicityproblem，buttheoptimizationmethodrequirestheobjectfunctionbedifferentiableandcontinuous，andisinfected
by the initial value. This is the way to find the part optimal value. Standard differential evolutionary algorithm is improved，
combinedwithsimulatedannealingalgorithmandniche，anddevelopedintoamixeddifferentialevolutionaryalgorithm，which
guaranty global network ability and converge to optimal solution. And this algorithm is introduced to well test. An optimal
method of well test analysis based on advanced differential evolutionary algorithm is established.It is not necessary to specify
initial estimates for the parameter values and objective function continuous. The method is superior to standard differential
evolutionary algorithm. Through the comparison between the L–M method and the method mentioned in this paper，well test
data demonstrated the method is efficient.

Key words: Key words：well test analysis, automatch, optimize, differential evolutionary