Skip to main content

📚 User documentation

What is fmu-sim2seis?

Calculates synthetic seismic from reservoir simulation model, together with a petro-elastic model.

fmu-sim2seis can be run either from command line, or from ERT, the latter being the preferred option.

Installation

To install fmu-sim2seis, run

pip install fmu-sim2seis

ERT jobs

fmu-sim2seis is divided into a series of separate jobs:

  • sim2seis_seismic_forward
  • sim2seis_relative_ai
  • sim2seis_observed_data
  • sim2seis_map_attributes
  • sim2seis_cleanup

There exists also a forward model for running petro-elastic modelling, defined in fmu-pem.

In the ERT-file for running fmu-sim2seis, necessary arguments are shown in this example ERT setup.

Beware of hardcoded directory names - they should be replaced by your project path/name.

cd ./ERT
ert gui run_sim2seis.ert

fmu-sim2seis (and fmu-pem) are controlled by a series of .yaml-files which you find in examples of here.

The files modelled_data_intervals and observed_data_intervals.yml are used to define zones/intervals for estimating seismic attributes. sim2seis_config contains all configuration parameters for all parts of fmu-sim2seis workflow, except for observed seismic data, which has its own configuration file - obs_data_config.yml.

Tests

fmu-sim2seis has tests that use the tests/data structure, which contains the necessary input data files.

pytest tests

User interface

Users can visit https://equinor.github.io/fmu-sim2seis/ in order to get help configuring the fmu-sim2seis input data.

Developing the user interface can be done by:

cd ./documentation
npm ci  # Install dependencies
npm run create-json-schema  # Extract JSON schema from Python code
npm run docs:dev  # Start local development server

The JSON schema itself (type, title, description etc.) comes from the corresponding Pydantic models in the Python code.

Metadata

Release files for fmu-sim2seis 2.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fmu-sim2seis 2.0.0
File Size Uploaded
fmu_sim2seis-2.0.0.tar.gz 18.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for fmu-sim2seis 2.0.0
File Interpreter ABI Platform
fmu_sim2seis-2.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 18.1 MB

Release files / fmu_sim2seis-2.0.0.tar.gz

Download URL fmu_sim2seis-2.0.0.tar.gz
Size 18.0 MB
Tags Source
SHA-256 checksum
How to use checksums
80ef5974933576fed6d44fe3695371a1f2520fa3130068f5de878e9cf1086623
BLAKE2b-256 checksum
How to use checksums
e00bca0cdf691572d133b4c89b3b1c3ac513f66270aeb09841eec5d996225014
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

Transparency log

Release files / fmu_sim2seis-2.0.0-py3-none-any.whl

Download URL fmu_sim2seis-2.0.0-py3-none-any.whl
Size 75.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
72db08de789b14ca8872e56a5361fd3a9a6ad3d365bbf01898501b3cf8cf231d
BLAKE2b-256 checksum
How to use checksums
7a2c11ffc262dbf841be375b1fea41c31a857b857da5a7e30814728a4bd216c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

2.0.0 This release

2 release files

1.0.1

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

1 release file

0.0.1

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page