METHOD AND EQUIPMENT FOR EARTHQUAKE-DATA-ERROR DETECTION

    公开(公告)号:JPH0772261A

    公开(公告)日:1995-03-17

    申请号:JP14888994

    申请日:1994-06-30

    Abstract: PURPOSE: To judge whether earthquake data frame discrepancy is within an allowance range or not by selecting the width of an image as symmetry axis, dividing data around the symmetry axis, making the first and second data sets and comparing the data sets with a preset collating reference. CONSTITUTION: The results of earthquake testing groups are stored in an outside memory 210, prepared and modified to predict the image of earthquake data with specific symmetry around the axis. After they are modified, a device 200 is activated to read one frame of the earthquake data from a device 210 into an inside memory 220. An axis detector 240 accesses to the earthquake data and selects the axis as a symmetry axis. The maximum strength position is judged by a peak detecting technique. The earthquake data frame is sent to an edge detector 250 and a data point showing discontinuity in the data is identified, stored in an edge list and sent to a dividing means 260. The second edge list and the first edge list are collated by a collating device 160.

    ERROR DETECTION IN SEISMIC DATA
    2.
    发明专利

    公开(公告)号:CA2126700C

    公开(公告)日:1999-03-02

    申请号:CA2126700

    申请日:1994-06-24

    Abstract: The present invention relates to the detection of errors in seismic data and in particular to apparatus for detecting errors in frames of seismic data that can be presented as images. Due to the techniques used for collecting seismic data, an image produced to represent that data will typically be expected to exhibit an inherent symmetry about an axis. The apparatus of the present invention comprises a storage device for storing a frame of seismic data which can be presented as an image, a selection device for selecting an axis within the image as the axis of symmetry, and a divider for dividing the data about the axis of symmetry to create first and second sets of data. Further it includes a comparison means for comparing the sets of data according to preselected matching criteria to determine, based on the degree of matching, whether the extent of mismatch in the frame of data is within a predetermined tolerance.

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