Research On Test Method For Magnetoelectric Geophone's Dynamic Characteristics

At present, the seismic exploration is one of most commonly used methods on petroleum exploration, comparing with several other petroleum prospecting method (drilling, synthesis transformation searches and so on), its cost is relatively lower and the reliability is relatively higher. The geophone is a kind of vibration sensor, in the part of information acquisition in the seismic survey, it is used as an instrument for the first step, and it is responsible to gather the seismic signal, it develops along with the development of physical prospecting technology, the materials science and information technology. Today the most commonly used geophone is the magnet-electrical velocity geophone, also called the moving-coil geophone, moving-coil geophone is one of important link in the seismic exploration.This article has studied many test method which is based on many kinds of moving-coil geophone, including the direct-current excitation, signal sine sweeping, vibration platform and so on, and I Proposes my own opinion after Comparing with the good and bad points of each method. The tester using direct-current excitation method test quickly and is convenient to carry, easy to scene test, but the sensitivity test value must be lower than the traditional Vibration platform due to the process of using direct-current excitation method to test detector parameter needs to survey the peak value of response voltage. so, this article introduces genetic algorithm in detector test technology, it needn't to survey the peak value of response voltage, and obtain detector's characteristic parameter through multi-spot gathering detector's response voltage and using Fuzzy Self-adaptability Genetic Algorithm.This article has made the improvement to the Fuzzy Self-adaptability Genetic Algorithm, When normalize the algorithm's input, it solves the question that the result change is not obvious owing to Denominator grows smaller with the method that use the initial population's date as Denominator during the normalization process, accelerates the algorithm convergence rate and avoids falling into partially most superior.Finally, this article compares the tradition test method which introduces Fuzzy Self-adaptability Genetic Algorithm. The test result shows that Fuzzy Self-adaptability Genetic Algorithm can test detector's parameter quite accurately, and can substitute for the existing method.