PyFWI
This repository contains Python package for elastic seismic full-waveform inversion (FWI) and time-lapse FWI. Documentation of PyFWI is available here.
Installation
To install this package, run
python3 -m pip install PyFWI
on macOS or
py -m pip install PyFWI
on Windows.
The structure of PyFWI can be shown as
Citing PyFWI
@article{mardan2023pyfwi,
title = {PyFWI: {A Python} package for full-waveform inversion and reservoir monitoring},
author = {Mardan, Amir and Giroux, Bernard and Fabien-Ouellet, Gabriel},
journal = {SoftwareX},
volume = {22},
pages = {101384},
year = {2023},
publisher = {Elsevier},
doi = {10.1016/j.softx.2023.101384}
}
1 maintainer
Metadata
1 maintainer
Release files for PyFWI 0.1.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfwi-0.1.10.tar.gz | 66.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyFWI-0.1.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 136.8 kB
Release files / pyfwi-0.1.10.tar.gz
| Download URL | pyfwi-0.1.10.tar.gz |
|---|---|
| Size | 66.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
26b5a46a1bd8a3546a4dfe8e58f976fa7406b5ab9dc3fdfdfe42e6621d19dad7
|
|
BLAKE2b-256 checksum How to use checksums |
c0df0b7be82b095cdde28dd6742bf4690ebb52ce2758f3fa8e75288cddbc345b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
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 Nov 5, 2024.
Transparency logRelease files / PyFWI-0.1.10-py3-none-any.whl
| Download URL | PyFWI-0.1.10-py3-none-any.whl |
|---|---|
| Size | 70.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fde66f037cbb1d8f441a17e8258bad2bb5ab96f8d72af576610439e24611f978
|
|
BLAKE2b-256 checksum How to use checksums |
43c2e9ca77a340ffc8fdacef0a3ec197a9ddbf6eac13170118372e9cba9c8a09
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
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 Nov 5, 2024.
Transparency log
