Pinned Repositories
.github
dcslagel community files
alaska
AlasKA well log LAS file aliaser
Beach-Clean-Bay
Citizen science portal for recording weight of plastic collected
dcslagel
GitHub Profile README
DLISIO_Notebooks
Open source, public notebooks for working with DLISIO
las-util-c
This is an alpha-level Log Ascii Standard v3.0 header metadata parser in C-Lang.
las-util-cpp
LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software
las-util-django
LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software
lascheck
Python library for checking conformity of Log ASCII Standard (LAS) files to standards
lasio
Python library for reading and writing well data using Log ASCII Standard (LAS) files
dcslagel's Repositories
dcslagel/las-util-cpp
LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software
dcslagel/las-util-django
LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software
dcslagel/las-util-c
This is an alpha-level Log Ascii Standard v3.0 header metadata parser in C-Lang.
dcslagel/lascheck
Python library for checking conformity of Log ASCII Standard (LAS) files to standards
dcslagel/.github
dcslagel community files
dcslagel/alaska
AlasKA well log LAS file aliaser
dcslagel/Beach-Clean-Bay
Citizen science portal for recording weight of plastic collected
dcslagel/dcslagel
GitHub Profile README
dcslagel/DLISIO_Notebooks
Open source, public notebooks for working with DLISIO
dcslagel/explore-gitpages
This is a temporary repo to explore how to use GitHub pages
dcslagel/las-util-php
LAS (Log Ascii Standard) web utilities in no-framework procedural php
dcslagel/lasio
Python library for reading and writing well data using Log ASCII Standard (LAS) files
dcslagel/MarinePlasticTools
A set of tools to visualise and analyse data collected by Plastic@Bay
dcslagel/wellio.js
JavaScript for converting well-log standard .las file format to json format
dcslagel/wellioviz
d3.js v5 visualization of well logs
dcslagel/welly
Welly helps with well loading, wireline logs, log quality, data science