Welly helps with well loading, wireline logs, log quality, data science

Data on energy by Our World in Data

The Korea National Oil Corporation is interested in purchasing shale gas wells from the United States and wants to predict their productions to select wells that maximize profit.

Time Series Feature Extraction using Deep Learning

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Automatic extraction of relevant features from time series:

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

Data on CO2 and greenhouse gas emissions by Our World in Data

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

Modern Time Series Forecasting with Python, published by Packt

A set of algorithms in Jupyter Notebook with datasets included

Hackathon of Gazprom Oil

An intuitive library to extract features from time series.

Geothermal site development plan completed as part of SPE GeoHackathon 2021

Task was to improve rock type prediction by using labeled core and well log data for one oil and gas field with multiple horizons. We tried using Random Forest, XGBoost, Logistic Regression and SVM…

Multiphase flow in porous media governs the recovery of subsurface energy including hydrocarbon and geothermal, and their management usually requires intensive simulation runs to quantify subsurfac…

Participated in a GeoHackathon organized by SPE in December 2021. Placed in Top Ten from 40 teams participated. Devised a development plan for a Geothermal field using subsurface and surface networ…

In the repository you can find the data to be used during the hackathon.

Hakathon on Gas and Oil + AI held in ITMO University, 05.2021

SPE public production dataset

There was a hackathon organized to predict the prices of Oil based on time series analysis.

SPE Calgary Data Science Mentorship program 2021

Optimizing Rate of Penetration in Oil Drilling, Hackathon by Petrocoder, Achieved Rank 2 in Final Round(Open & Closed Dataset).

Juan Ceballos Hackathon Oil&Gas Algoritmos de clasificación