resdata

Result file reader

Software for reading and writing result files from reservoir simulators.

Software for reading and writing the result files from the Eclipse reservoir simulator.

GitHub

103 stars
24 watching
94 forks
Language: C++
last commit: almost 2 years ago
Linked from 1 awesome list

ceclipsehacktoberfestopmpythonreservoir

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
equinor/segyioA fast Python library for reading and writing seismic data formats494
equinor/pyvdsA Python library for reading VDS files with syntax similar to segyio.5
equinor/pyzgyA Python wrapper around Schlumberger's OpenZGY package to read and write ZGY files with a familiar syntax.7
equinor/webviz-subsurfaceProvides web-based visualization tools for subsurface data in the oil and gas industry.58
sertit/eoreaderA Python library to read and process satellite imagery from various sensors, handling optical and SAR data in a sensor-agnostic way.295
airbus-cert/regrippyA Python-based framework for reading and extracting forensics data from Windows registry hives188
benmack/eo-boxA toolbox for processing earth observation data with Python.14
epurdom/coboltAnalyzes and integrates multimodal single-cell sequencing data from different modalities19
eyurtsev/korAn open-source wrapper around LLMs to extract structured data from text1,638
remotesensinginfo/eodatadownAutomates the download and processing of Earth Observation data to create a monitoring system.6
senbox-org/snap-engineA software platform for remote sensing data analysis and visualization, supporting various Earth observation missions.190
equinor/seismic-zfpA Python library for compressing and decompressing seismic data in a format that enables efficient storage and retrieval of sub-volumes.67
johntruckenbrodt/pyrosarA framework for processing SAR satellite data from various sources514
frontierdevelopmentlab/sat-extractorAutomates satellite image extraction and storage from public constellations at scale.76
nrcan/ricordeSoftware that generates gridded water depth estimates from flood inundation data using machine learning and algorithms.3