Sami Elkurdy's repositories

MLSeistoLog

Transform seismic segy to logs using Machine Learning

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DepthConversion

Seismic Depth Conversion using Quadratic Functions

seisattrib2log

Build ML model from seismic attributes and well logs to convert segy to pseudo logs

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SeismicVelocityAnalysis

Fit quadratic functions to seismic velocities for depth conversion with probabilities

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HHTAttributes

Generate attributes from Hilbert Huang Transform (aka Empirical Mode Decomposition)

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HorizonMachineLearning

Machine Learning Horizon Guided attributes for reservoir properties prediction

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iip-machine-learning

In this notebook, we will learn the step-by-step procedures on how to preprocess and prepare image datasets to extract quantifiable features for a machine learning algorithm. Functions like morphological operations and regionprops will be used.

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PhaseAttrib

Phase attribute that correlates with gamma ray logs to detect depositional sequences

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WellTDFunctions

Compute Time-Depth functions to be later used for depth conversion by mapping function coefficients

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adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

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BootstrapBayesErrorAnalysis

Any model prediction error analysis using bootstrap and bayesian approaches, then applying correction

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Econstants

Computation of elastic constants and anisotropy from logs

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giotto-time

Time series analysis suite

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MLattrib

Building ML models for any data set

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PorosityProbabilityfromAI

Computing probabilities from well xplot of porosity vs AI for a segy AI volume generating P10, P50, & P90 segy

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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PseudoGR

Generate pseudo gamma ray logs from crossplotting acoustic vs shear impedance

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PyTorch-Tutorial

Build your neural network easy and fast

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VTI_AVO

Modeling impact of VTI on AVO

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2016-ml-contest

Machine learning contest - October 2016 TLE

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BackInterpolate

Use xyz list from a grid to find values at well locations

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bokeh

Interactive Web Plotting for Python

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catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

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docopt

Pythonic command line arguments parser, that will make you smile

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interpret

Fit interpretable models. Explain blackbox machine learning.

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keras_extensions

A collection of small extensions to Keras (RBM, momentum schedule, ..)

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MarkdownViewerPlusPlus

A Notepad++ Plugin to view a Markdown file rendered on-the-fly

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materials

Bonus materials, exercises, and example projects for our Python tutorials

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ML2023INTRO

Material for Intro to ML course in 2023

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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