Topic: lithology Goto Github
Some thing interesting about lithology
Some thing interesting about lithology
lithology,A mini dataset of lithology microscopic images. This Dataset was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. Amin Beheshti.
User: ahmadtaheri2021
lithology,A probability based approach to characterize lithology using drilling data and Random Forests
User: aifenaike
lithology,Python package for Exploratory Lithology Analysis
Organization: csiro-hydrogeology
lithology,Python scripts voor bewerken Nederlandse en Vlaamse bodeminformatie
User: died1808
Home Page: http://www.rvde.nl/
lithology,Global Scalable Paleo Landscape Evolution Model
Organization: geodels
Home Page: https://gospl.readthedocs.io
lithology,SyleFileCrator for INSPIRE
Organization: geolba
lithology,Python package for Petrophysical analysis.
User: imranfadhil
Home Page: https://quick-pp.readthedocs.io/en/latest/index.html
lithology,Analysis notebooks for the geolink well log dataset
User: lukasmosser
lithology,Calculate each facies proportion for each well in a field and plot them as bubble map distribution
User: luthfigeo
lithology,Calculate facies percentage within specific intervals
User: luthfigeo
lithology,Handle classification within volcanic formation using supervised learning.
User: luthfigeo
lithology,GebPy is a Python-based, open source tool for the generation of geological data of minerals, rocks and complete lithological sequences. The data can be generated randomly or with respect to user-defined constraints, for example a specific element concentration within minerals and rocks or the order of units within a complete lithological profile.
User: mabeeskow
lithology,We have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for reservoir characterization, uncertainty quantification and history matching.
User: philliec459
lithology,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
lithology,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
lithology,List of resources for mineral exploration and machine learning, generally with useful code and examples.
User: richardscottoz
lithology,Tools for plotting and analyzing stratigraphic data in R
User: warnuk
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