How to use the segyio.TraceSortingFormat function in segyio

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github microsoft / seismic-deeplearning / interpretation / deepseismic_interpretation / segyconverter / utils / create_segy.py View on Github external
print(f"\tinlines: {len(spec.ilines)}")
    print(f"\tcrosslines: {len(spec.xlines)}")

    with segyio.create(filename, spec) as f:
        # one inline consists of 50 traces
        # which in turn consists of 2000 samples
        step = 0.00001
        start = step * len(spec.samples)
        # fill a trace with predictable values: left-of-comma is the inline
        # number. Immediately right of comma is the crossline number
        # the rightmost digits is the index of the sample in that trace meaning
        # looking up an inline's i's jth crosslines' k should be roughly equal
        # to i.j0k
        trace = np.linspace(-1, 1, len(spec.samples), True, dtype=np.single)

        if sorting == segyio.TraceSortingFormat.INLINE_SORTING:
            # Write the file trace-by-trace and update headers with iline, xline
            # and offset
            tr = 0
            for il in spec.ilines:
                for xl in spec.xlines:
                    if masklambda(il, xl):
                        f.header[tr] = {segyio.su.offset: 1, segyio.su.iline: il, segyio.su.xline: xl}
                        f.trace[tr] = trace * ((xl / 100.0) + il)
                        tr += 1

            f.bin.update(tsort=segyio.TraceSortingFormat.CROSSLINE_SORTING)
        else:
            # Write the file trace-by-trace and update headers with iline, xline
            # and offset
            tr = 0
            for il in spec.ilines:
github equinor / segyviewer / src / segyviewlib / slicedatasource.py View on Github external
def sorting(self):
        return segyio.TraceSortingFormat.CROSSLINE_SORTING