Topic: well-logs Goto Github
Some thing interesting about well-logs
Some thing interesting about well-logs
well-logs,This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.
User: abhishekdbihani
well-logs,Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.
User: aifenaike
well-logs,LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.
User: andymcdgeo
well-logs,Estimation of Shear wave velocity in oil sands from other well logs
User: arjavanb
well-logs,Workflows developed for to display and interpret conventional well logs, depositional environments, sequence boundaries, heat flows, clay types, fracture intensities, and operational records
User: ayberk-uyanik
well-logs,Library for D programming language that provides tools to work with LAS (Well log ASCII Standart) files
User: beardedbeaver
well-logs,A Python implementation of integrated prediction error filter analysis (INPEFA).
User: daeiy
well-logs,LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software
User: dcslagel
well-logs,LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software
User: dcslagel
well-logs,LAS (Log Ascii Standard) web utilities in no-framework procedural php
User: dcslagel
well-logs,Raton Basin Colorado well log data collection and geothermal modeling.
User: dianaceroallard
well-logs,Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
User: dudley-fitzgerald
well-logs,[MATLAB inside] Comparative research well log prediction: Genetic algorithm vs Neural Network
User: firasisme
Home Page: https://firasisme.github.io/
well-logs,This is a program with GUI developed with python, to read well logs and model geomechanical properties.
User: geoarkadeep
well-logs,use lasio to analyze and plot digital well log files
User: hydrospanner
well-logs,Upload well LAS (log ASCII) files and view the raw logs interactively in streamlit
User: imranfadhil
well-logs,Electrofacies classification using supervised learning algortihms
User: juliocms1500
well-logs,stratigraphic machine-learning - active work moved to Predictatops
User: justingosses
Home Page: https://github.com/JustinGOSSES/predictatops
well-logs,Stratigraphic pick prediction via supervised machine-learning
User: justingosses
Home Page: https://justingosses.github.io/predictatops/html/index.html
well-logs,JavaScript for converting well-log standard .las file format to json format
User: justingosses
Home Page: https://justingosses.github.io/wellio.js/
well-logs,d3.js v5 visualization of well logs
User: justingosses
Home Page: https://justingosses.github.io/wellioviz/#introduction
well-logs,Python library for reading and writing well data using Log ASCII Standard (LAS) files
User: kinverarity1
Home Page: https://lasio.readthedocs.io/en/latest/
well-logs,Typescript/JavaScript library for parsing standard well log files (Geophysical well logs))
Organization: laslibs
Home Page: https://www.npmjs.com/package/las-js
well-logs,Python library for parsing standard well log files (Geophysical well logs)
Organization: laslibs
Home Page: https://pypi.org/project/las-py
well-logs,Identifying outliers in well logs with machine learning.
User: leocorbur
well-logs,El objetivo de este proyecto es obtener un método tal que la computadora sea capaz de realizar una interpretación de registros geofísicos de manera automática y sin intervención humana alguna dado un set de datos que contenga registros geofísicos.
User: luisteran5296
well-logs,Well logs correlation using dynamic time warping
User: luthfigeo
well-logs,Handle classification within volcanic formation using supervised learning.
User: luthfigeo
well-logs,Generating synthetic DT log
User: luthfigeo
well-logs,To check log data availability in a LAS file
User: luthfigeo
well-logs,A fast way to check and work with .dlis files.
Organization: monumentosoftware
well-logs,LAS well log file converter to various files (JSON and CSV supported) to be readable and manageable with data science approach
Organization: oilshit
well-logs,Useful code for geoscientists in the energy sector. More useful code will be added over time. Special thanks to all those coders out there that helped to pave the way.
User: pafox38
well-logs,Petroleum Data Collector
Organization: pro-well-plan
well-logs,To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.
User: ramysaleem
Home Page: https://jovian.com/ramysaleem/ml-project-machine-predicting-lithologies
well-logs,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 sandstones quality as a reservoir, the production history of the operators on the Gulf of Mexico and a well summary report to highlight any possible problem. The reservoir quality analysis will examine relationships between average values of porosity, permeability, depth, temperature, pressure, thickness, age, and play type for data files from 2009 until 2019.The porosity plotted and shown in a wide range of plots as a function of permeability and burial depth. Also, the median (P50) porosity will be plotted against depth to examine the porosity trend. Moreover, this project will investigate the companies oil and gas production in the gulf of Mexico for the last five years. Lastly, the analysis will include an investigation of well summary reports of five wells. The project will include web scrapping to collect online well summary reports to generate a word cloud. The project results can be useful for specifying realistic distributions of parameters for both exploration risk evaluation and/or reservoir modelling by machine learning algorithms in the next project.
User: ramysaleem
Home Page: https://jovian.com/ramysaleem/exploratory-data-analysis-project-16842
well-logs,Robust representations of oil wells' intervals via sparse attention mechanism
User: rogulina
well-logs,Robust representations of oil wells' intervals via sparse attention mechanism
User: rogulina
well-logs,Python custom function for plotting geological well logs
User: taiwofawumi
well-logs,Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
User: vkazei
well-logs,Python reader for Canadian Well Logging Society LAS (Log ASCII Standard) files.
User: warrenweckesser
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