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ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

brittleness-predicition-using-machine-learning

Brittleness is known to be an important reservoir property in hydraulic fracturing. Under a certain level of differential stress, brittle rocks fail creating planes of weakness that are kept open by the injected proppant, causing secondary permeability in the rock. This repo contains python scripts to estimate brittleness using elastic and mineral

carbon-capture-and-storage

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

computational-geophysics

Python implementations in geophysical methods: seismic and gravity

daslab

Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

deep-seismic-fav-docs

Papers related to Deep Learning, GANs, applied to seismic

faultnet

fault picking with 3D-UNets

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

formation-evaluation

Python utility for formation evaluation and petrophysical analysis support

ga_mineral_model

Code for defining mineral model input matrix using a GA and application of tuned matrix for mineral predictions.

machine-learning-competition-2020

SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis

ml-facies-classification

mplbm-ut

Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)

mudrocknet

MudrockNet is a deep learning SEM image segmentation model for mudrocks to identify pores and silt size grains, and is based on Google’s DeepLab-v3+ architecture implemented with TensorFlow.

ongc_training

Facies Classification and Synthetic Curve Generation in Well Logs using AI/ML Based Data Science Workflow

open-geoscience-repository

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

osv

Automatic fault interpretation with optimal surface voting

petropy

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

pyreservoir

Python utilities for reservoir engineering calculations

python-bootcamp-for-geoengineers

Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

reservoir-geomechanics

Worked solutions of Prof. Mark Zoback's Reservoir Geomechanics course (StanfordOnline: GEOPHYSX0001) homeworks implemented using Python in ipynb notebooks

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

synthetic-well-logs-using-neural-networks

A workflow to generate synthetic well logs using Artificial Neural Networks

synthetic_log_generator

Generate synthetic well logs based on a simple Earth model.

synthetic_well-log_polynomial_regression

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.

volve-machine-learning

Exploration of machine learning in the Volve field dataset

well-log-visualization-and-interpretation

Basic oil and gas well logs visualization and interpretation