Convenience wrapper around Schlumberger's OpenZGY Python package which enables reading of ZGY files with a syntax familiar to users of segyio.
Requires openzgy package from Schlumberger, which is (for now) bundled here under Apache v2.0 license
- Wheels from PyPI:
pip install pyzgy
- Source from Github:
git clone https://github.com/equinor/pyzgy.git
import pyzgy
with pyzgy.open("in.zgy")) as zgyfile:
il_slice = zgyfile.iline[zgyfile.ilines[LINE_IDX]]
xl_slice = zgyfile.xline[LINE_NUMBER]
zslice = zgyfile.depth_slice[SLICE_IDX]
trace = zgyfile.trace[TRACE_IDX]
trace_header = zgyfile.header[TRACE_IDX]
text_file_header = zgyfile.text[0]
from pyzgy.accessors import SeismicReader
with SeismicReader("in.zgy") as reader:
inline_slice = reader.read_inline_number(LINE_NUMBER)
crossline_slice = reader.read_crossline(LINE_IDX)
z_slice = reader.read_zslice_coord(SLICE_COORD)
sub_vol = reader.read_subvolume(
min_il=min_il, max_il=max_il,
min_xl=min_xl, max_xl=max_xl,
min_z=min_z, max_z=max_z
)
import numpy as np
from pyzgy.accessors import SeismicWriter
# create a dummy 10x10x10 cube
data = np.zeros((10, 10, 10))
with SeismicWriter("out.zgy"
data.shape,
0.0, # the first sample
4.0, # the sample increment
(100, 100), # the first iline and xline labels
(1, 2), # the iline and xline increments
) as writer:
writer.write_volume(data)
The Xarray Backend engine provides lazy loading support for the volume only. Opening large datasets should be possible, with sub-volume browsing using the native xarray.Dataset.sel
method.
import xarray as xr
# read a zgy file
zgy = xr.open_dataset("int.zgy")
inline_slice = zgy.sel(iline=LINE_NUMBER)
crossline_slice = zgy.sel(xline=XLINE_NUMBER)
z_slice = zgy.sel(sample=SAMPLE_VALUE)
sub_vol = zgy.sel(
iline=range(LINE_START,LINE_END),
xline=range(XLINE_START,XLINE_END),
sample=range(SAMPLE_START,SAMPLE_END)
)
# write out to zgy file
zgy.pyzgy.to_zgy("out.zgy")