The task of geophysical signal processing and interpretation is very complicated in its nature. Usually, the explorationists explain geophysical data not only based on information contained in the geophysical data, but also on other related geological knowledge. Knowledge and expertise play very important roles. Altough it is extremly difficult to extablish an automatic geophysical data intepretation system, much effort has been made to introduce the technology of pattern recognition, neural network and expert system to geophsical signal processing and interpretation in the oil-well fissure position for the relatively simple model we use. In order to expose the possibility and effectiveness of exploiting pattern recognition techniques in the field of exploration ofoil field and the oil-well fisuure geophysical information, a tentative geophysical signal interpretation OFPS (Oil-well Fissure Position System) has been developed by author, which contains from the beginning of oil-well geophysical data acqusition hardware to the late software to deal with the data and gives the interpretation This system consists of four parts, for the following purposes: (1) Hardware of oil-well fissure geophysical data acquisition using wireless communication ; (2) LMS adaptive filter apply to the OFPS data ; (3) Pattern recognition of the P wave and S wave and interpretation; (4) Research on the BP neural netwok application in the Pattern recognition of the P wave and S wave. Parts of the OFPS has been put in use in the Zhongyuan Oil field, puyang, Henan province for about half year. From the experimental results we may conclude that the pattern recognition technique and neural network will provide explorationists with some effective means in reducing their labor intensities and improving the quality of interpretation.
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