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XTGeo scripts, with focus on maps from 3D grids in various ways based on XTGeo lib

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grid3d-maps

tests Python Version License: GPL v3 Code style: black

Various scripts for generating maps from 3D grid properties.

Scripts included

Script Description
grid3d_hc_thickness Make Hydrocarbon thickness maps from Eclipse and/or Roff input
grid3d_average_map Make average maps from a 3D grid parameter, Eclipse or Roff input
grid3d_aggregate_map Make aggregated maps (min/max/mean/sum) from a 3D grid parameter, Eclipse or Roff input
grid3d_migration_time Make migration time maps aimed at tracking plume migration in CCS applications

Features

  • From Eclipse files (EGRID, INIT, UNRST) and/or RMS binary ROFF make HCPV thickness maps, or make weighted average maps
    • No need to invoke RMS
    • Efficient in FMU work flows
    • HC thickness maps and average maps for property differences is supported (see examples in YAML config files)
  • Outputs PNG figures and Irap (RMS) binary maps
  • Simple configuration through a YAML file
  • Configuration from YAML can be overriden by command line options
  • From version 1.3, output via fmu-dataio_ (to sumo_) is supported. See fmu-dataio and fmu-sumo

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XTGeo scripts, with focus on maps from 3D grids in various ways based on XTGeo lib

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  • Python 98.1%
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