Python library for reading and writing well data using Log ASCII Standard (LAS) files

Analysis notebooks for the geolink well log dataset

This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enforcement (BSEE) https://www.data.bsee.gov/Main/Default.aspx with a particular focus on the Gulf of Mexico (GOM) wells. This project will study sandstone…

Import/Export LAS files to/from GEOH5 format for geoscientific data

AT&T is a multinational telecommunications holding company providing wireless and wireline telecommunications services, broadband, and digital entertainment to consumers and businesses worldwide.

ProEssentials WPF .NET 8 chart sample — wireline Variable Density Log (VDL) acoustic visualization with a contour-injection rendering technique that eliminates smearing on large datasets. Real FORGE 16A(78)-32 cement bond log data; DLIS conversion script included.

Learning whilst drilling through real-time, near-bit prediction ahead of the drill-bit, using offset well log data.

AT&T Inc. is a multinational telecommunications conglomerate providing wireless and wireline communications, broadband internet, digital TV, and business services. As a Fortune 100 company, AT&T operates one of the largest telecommunications networks in the United States and globally.

Meta-package that groups together packages for interoperability between GEOH5 and other file formats

Parse RP66 V1 (DLIS) well-log binary files — in the browser and Node.js with zero runtime dependencies.