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machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

machinelearning_faciesclassification

My attempt to try different ML algorithms to classify rock facies from well log data

malenov

Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks

mannvillegroup_strat_hackathon

stratigraphic machine-learning - active work moved to Predictatops

matplot-well-log

Simple well log plotting using Python and matplotlib

mcmurray-wabiskaw-preprocessed-datasets

McMurray/Wabiskaw preprocessed datasets + code for getting packaged

meanderpy

Simple model of meander migration

misc

portable python miscellany

missingno

Missing data visualization module for Python.

ml-and-ds-geoscience-papers

A collection of published papers, abstracts, and introductory articles of Machine Learning and Data Science related to applications on Geoscience and Hydrocarbon exploration.

ml-lithology-competition

ml-seg-contest-facies-classification

ml_well_log

The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.

montepetro

Monte Carlo estimation of reservoir reserves.

mplstereonet

Stereonets for matplotlib

mrst_shale

Shale gas simulation environment

nanscaler

Use sklearn.preprocessing scaler classes with nan values!

object-oriented-programming-using-python

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

oil-and-gas-data-analysis

oil_volume_calculator

Probabilistic volumetric calculator for oil and gas resources during exploration

open-geoscience-repository

Open geoscience computing of open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi

openselfsup

Self-Supervised Learning Toolbox and Benchmark

osv

Automatic fault interpretation with optimal surface voting

ozmachine_python

A lithology interpretation game based on wireline logs. A recreation of Geoff Bohling's Oz Machine in python.

pandas-cookbook

Recipes for using Python's pandas library

pandas-videos_0

Jupyter notebook and datasets from the pandas Q&A video series

particlepack

Simulate the formation of three-dimensional packings of spherical and non-spherical (regular and irregular) particles with prescribed size distributions.

pca-on-attributes

In order to reduce the dependency of the statistical attributes, the PCA approach was implemented.

pca-on-logs

The PCA was applied on multiple well logs to increase the accuracy of the WtWc process