Kristian Bendiksen 03236ee737 Python: Redesign ORIONEVENTS grammar as version 2.0 with typed declarations
Replace the 1.0 grammar with a version 2.0 designed to be easier to parse
and easier to write. Variables are now typed: DATE, DURATION (whole days)
and WELL alias declarations replace the untyped SET, and using a variable
of the wrong type produces an error citing both the use and declaration
site. Well blocks open with an explicit WELL keyword (alias or
double-quoted literal name), quoting is double quotes throughout, and
date arithmetic accepts signed chains of integers and DURATION variables
such as @START + RAMP - 2. ORIONEVENTS 1.x headers are rejected with a
migration message.

FILTER and PERFID are no longer parse errors; any KEY=VALUE attribute
parses and the applier warns and ignores the not-yet-supported keys
(FILTER, PERFID, DSHIFT) while still applying the rest of the event.

The parser now recovers per line and reports every error in one pass via
OrionParseError.errors, unknown variables, event types and keywords get
difflib-based did-you-mean hints, and a stdlib-only validator CLI runs as
python3 -m rips.orion_events <file>. The eager orion_events import in
rips/__init__.py is replaced by a PEP 562 lazy import so the -m entry
point does not trigger runpy's double-import warning.

Update the shipped sample file and example script to the 2.0 syntax and
extend the test suite from 27 to 55 tests covering typed declarations,
offset arithmetic, alias resolution, multi-error diagnostics and the CLI.
2026-08-07 14:34:35 +02:00
2024-10-04 13:25:20 +02:00
2024-10-31 15:39:52 +01:00
2026-08-06 09:14:53 +02:00
2013-04-19 08:58:57 +02:00

ResInsight

ResInsight is an open source, cross-platform 3D visualization and post-processing tool for reservoir models and simulations.

Key Features

  • Specialized Visualizations: Tailored for efficient interpretation of reservoir simulation data with visualizations of properties, faults, and wells
  • Performance-Oriented: Exploits multi-core CPUs and GPUs for highly responsive operation
  • Statistical Analysis: Handles large numbers of realizations with built-in statistical calculations
  • Python Integration: Enables powerful result manipulation and computations with two-way data exchange
  • GNU Octave Integration: Enables powerful result manipulation and computations with two-way data exchange
  • Extensible Framework: Supports additional data sources and visualization methods (solvers, seismic data, CSEM, geomechanics)
  • Eclipse Integration: Supports export to Eclipse input formats for simulation cycles and parameter studies

Supported Input Formats

  • Eclipse binary output (*.GRID, *.EGRID files with corresponding *.INIT, *.XNNN, and *.UNRST files)
  • Selected Eclipse input file sections
  • Grid information with cell property data sets

Technology Stack

ResInsight utilizes:

  • Equinor/resdata and OPM/opm-common libraries for Eclipse result file access
  • Qt for the application framework
  • Qwt for plotting functionality
  • vcpkg for dependency management

Platform Support

ResInsight is cross-platform with automated testing on:

  • Red Hat Enterprise Linux (RHEL)
  • Ubuntu
  • Windows 11

Documentation

Development

Source Code

git clone git://github.com/OPM/ResInsight.git

Minimum Requirements

  • gcc 13
  • clang 19
  • CMake 3.15
  • MSVC 2022 17.4

These requirements are defined by used features in c++23 like std::stacktrace and std::expected.

Dependencies

Most dependencies are managed using vcpkg as defined in vcpkg.json

Contributing

Contributions are welcome! Please:

  • Use the dev branch for contributions and pull requests
  • Note that the master branch is kept stable and updated only for releases
  • See Spell Checking Guide for information on automated spell checking

Building

See the Build Instructions for detailed setup information.

License

ResInsight is co-developed by Equinor ASA, Ceetron Solutions AS, and Ceetron AS. The software is copyrighted by Ceetron and Equinor and licensed under GPL 3+. See the COPYING file for details.

S
Languages
C++ 88.7%
ECL 4.9%
TypeScript 3%
Python 1.5%
CMake 0.6%
Other 1.1%