Pinned Repositories
Advanced-Statistics-and-Data-Mining-for-Data-Science
Basic-Well-Log-Interpretation
Basic Well Log Interpretation with python, pandas, matplotlib
CNN-for-ASI
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Computational-statistics-with-Python
Resources for STA 633 class
Data-Statistics-with-Full-Stack-Python
Data Statistics with Full Stack Python, published by Packt
DeepLearning-Image
Introduction to Deep Learning for Image Recognition
DeepLearning-NLP
Introduction to Deep Learning for Natural Language Processing
dynamic-reservoir-characterization
An useful tool for pressure transient analysis.
facies_net
Software for detection of given facies
lib_PTA
Pressure and Rate Transient Analysis for Oil & Gas - Solution of Diffusivity Equation for Single Phase Problems Using Laplace Transfor
Evgeneom's Repositories
Evgeneom/Advanced-Statistics-and-Data-Mining-for-Data-Science
Evgeneom/Basic-Well-Log-Interpretation
Basic Well Log Interpretation with python, pandas, matplotlib
Evgeneom/CNN-for-ASI
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Evgeneom/Data-Statistics-with-Full-Stack-Python
Data Statistics with Full Stack Python, published by Packt
Evgeneom/DeepLearning-NLP
Introduction to Deep Learning for Natural Language Processing
Evgeneom/dynamic-reservoir-characterization
An useful tool for pressure transient analysis.
Evgeneom/MalenoV
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
Evgeneom/Oil-Output-Modeling
A close comparison of three different regions for potential oil development. Here I was tasked with taking proprietary data about three distinct regions and advising on which region would produce the highest ROI. This involved building a logistic regression model and testing the findings against bootstrapped data to ensure significantly accurate results. From this, I was able to make a recommendation on the best region for further oil development. This was project 8 of Practicum by Yandex.
Evgeneom/Machine-Learning-for-Petroleum-Engineering
Python notebooks for applications of Machine Learning algorithms in Petroleum Engineering (Reservoir, Well-Logs, Completions, etc).
Evgeneom/practical-statistics-for-data-scientists
Code repository for O'Reilly book
Evgeneom/pragmaticai
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Evgeneom/Pressure-Transient-Analysis
Evgeneom/Pressure_Transient_Analysis
Python Based Pressure Transient Analysis (PTA)
Evgeneom/PTA-in-Python
Collection of codes for Pressure Transient Analysis
Evgeneom/python-for-data-science
Осторожное введение в исследование данных / A Gentle Intro to Data Science
Evgeneom/scipy
SciPy library main repository
Evgeneom/scipy-cookbook
Scipy Cookbook
Evgeneom/scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
Evgeneom/Statistics-for-Data-Science
Statistics for Data Science, published by Packt
Evgeneom/Statistics-for-Data-Science-and-Business-Analysis
Statistics for Data Science and Business Analysis, published by Packt
Evgeneom/Statistics-for-Data-Science-Video
Statistics for Data Science by Packt Publishing
Evgeneom/Statistics-for-Machine-Learning
Statistics for Machine Learning, published by Packt
Evgeneom/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Evgeneom/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
Evgeneom/The-Applied-Data-Science-Workshop
Evgeneom/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
Evgeneom/The-Data-Visualization-Workshop
A New, Interactive Approach to Learning Data Visualization
Evgeneom/The-Pandas-Workshop
Evgeneom/The-Statistics-and-Calculus-with-Python-Workshop
Evgeneom/xlwings
xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.