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2018-machinelearning-lectures-esa

Machine Learning Lectures at the European Space Agency (ESA) in 2018

2020ducdatathon

Datathon Repo

2021-07-13-scipy-pandas

Learn Python Through Data Processing in Pandas

2021_gtxdatathon

Repurposing oil and gas wells for geothermal energy production to generate value from abandoned wells across the world and dramatically improve geothermal economics. By identifying sites from thousands of wells and millions of data points and combine oil and gas with geothermal data, to generate the necessary and actionable insights to help solve this in identifying prospects.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

5daygeostats_dataanalytics

5-day course on Geostatistics, Data Analytics and Machine Learning

ai-course-at-eumetsat

amueller.github.io

apmc

Time Series Analysis of the APMC and Monthly Mondi Data

article.eikonapi.python.lng.arbitrage

In the LNG market, arbitrage can be defined as a strategy of diverting a physical cargo from one market to another which offers a higher price. Price differentials can occur between regional markets due to different pricing structures and imbalances between supply and demand which allows traders to exploit and capitalize on. In this example, we look at the key variable costs to determine if the arbitrage window to Asia is open or if it is more profitable to ship a cargo from the United States to Asia than to Europe

av-timeseries-hackathon

Analytics Vidhya conducted a hackathon on the 2nd of May for predicting Energy consumption on time series data

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

bakerhugheshackathon2022

Data Science repository for the Team A Predictive Modeling project of Power Output of a Gas Turbine (W)

blue-green-h2

Data and codes for blue-green hydrogen competition

bp-datasets

Some Data From the BP Statistical Review of World Energy

cdc-2022

Trend Analyses using Gas Emissions Data for CDC hackathon

crude-oil-price-prediction-brent-excelr-and-ai-variant-project

Oil is a commodity notorious for being able to go in the complete opposite direction after a single market event. This is because the fundamentals of oil price are rarely based on real-time data, instead, it is driven by externalities making our attempt to forecast it even more challenging. As the economy will be highly affected by oil prices. Our model will help to understand the pattern in prices to help the customers and businesses to make smart decisions.

data

Untapped Oil & Gas Datathon

data-science

Collection of useful data science topics along with code and articles

data-science-hackathon-and-competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

data-science-template

A starter template for Equinor data science / data engineering projects

data_analytics_courses

Some notebooks around ideas of presenting data

dcnn-timeseries-rul

DCNN for Machine RUL Prediction using Time-series Data

decline-curve-analysis

A simple decline curve analysis script for python

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

development-of-machine-learning-predictive-models-for-reservoir-history-matching

New approach which uses machine learning rather than reservoir simulation software to perform a history match.

directional_drilling_calculations

Use the minimum curvature method to perform the directional drilling calculations between two survey stations (Inclination / Azimuth /

dlisio-notebooks

duc-2020

Materials for the Untapped Energy DUC Datathon, held on June 30 - August 23rd, 2020.