Pinned Repositories
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
Nidavellir1's Repositories
Nidavellir1/2021-07-13-scipy-pandas
Learn Python Through Data Processing in Pandas
Nidavellir1/2021_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.
Nidavellir1/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
Nidavellir1/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.
Nidavellir1/data_analytics_courses
Some notebooks around ideas of presenting data
Nidavellir1/energy_markets_forecasting
Forecasting in Energy Markets: Approaches, tools and resources for aspiring analysts
Nidavellir1/geothermal-cookbook
Python methods for geoscientists, geochemists and reservoir engineers working in geothermal resources.
Nidavellir1/glowing-waffle
SPE Calgary Data Science Mentorship program 2021
Nidavellir1/HDSDA_Project
Dataset from UK Oil and Gas Authority (OGA) for all Oil and Gas Production data 1975-2021
Nidavellir1/KAUST-Iraya_SummerSchool2021
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
Nidavellir1/Learning-Python
This repo is made for the Learning Python blog course. In this course, all relevant material is provided for the course. For any suggestions, feedback or doubts, feel free to contact me via LinkedIn or Gmail.
Nidavellir1/ML-in-PE
Application of Machine Learning to predict future performances, and to do sensitivity analysis in reservoir simulations, which helps to solve petroleum engineering computational problems and taking decisions in a timely manner.
Nidavellir1/north-dakota-production
Exploratory data analysis of oil and gas production in North Dakota
Nidavellir1/northern-lights
The CCS / Northern Lights hackathon project
Nidavellir1/Oil-Well-Productivity-SD
Statistical simulation and analysis of oil & gas productivity from South Dakota well-by-well production time series
Nidavellir1/Oilfield-Data-Science-Research
A comparison of Classical Analytical Techniques versus Modern Data Science Techniques in the forecasting of oil well production over the lifetime of the well
Nidavellir1/open-geoscience-repository
Open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi
Nidavellir1/Petroleum-Data-Analytics-and-Machine-Learning
Notebooks used for Course: "Petroleum Data Analytics and Machine Learning' by Petroleum From Scratch"
Nidavellir1/petroleum-data-analytics-series
Series of tutorials and codes for Petroleum Data Analytics & ML
Nidavellir1/Production-Forecasting
Forecasted the fluid production from wells using historical time series data using time series analysis and Random Forest regression
Nidavellir1/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Nidavellir1/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Nidavellir1/RystadEnergy
Nidavellir1/Skipper6931
Config files for my GitHub profile.
Nidavellir1/sktime-tutorial-pydata-amsterdam-2020
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Nidavellir1/SPE_untapped_energy
Nidavellir1/T21-Tutorial-WellTestAnalysis
Notebooks and sample data for geothermal well test analysis tutorial given during the Software Underground 2021 unconference
Nidavellir1/timeseries
MachineHack - weekend hackathon - Time Series
Nidavellir1/Unconventional_Oil_Gas
Data wrangling for no conventional wells analisis in Argentina
Nidavellir1/volve-field-data
Volve field data