Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
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Updated
Aug 16, 2019 - Python
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Proof-of-concept of code to make the FracFocus chemical disclosures into a usuable database.
Reformat fracking production numbers from West Virginia to a format more useful to GIS
Jupyter notebook to reformat Ohio Oil&Gas production numbers to a version for easier GIS use.
Code to convert Kansas's injection well data to a different format
Code to translate Oklahoma's state data on injection wells to a different format
Wireline Log Visualization/Plotting with Matplotlib in Python
NLP Article Trend Analysis (Oil & Gas)
3D Graphical Output of well producers and injectors in oil reservoir.
Compares analytical/numerical results for the drainage of a single well.
Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
A powerful python selenium based bot to download files using multi threading and OOPS concept.
Library to convert .eywa files (proprietary format of Antea S.r.l.) to .ifc files, written during my internship at Antea S.r.l.
Calculate directional survey metadata points along the wellbore.
Machine Learning to predict share prices in the Oil & Gas Industry. In a nutshell, this is a quick introduction to understand the potential of data science and machine learning used in the oil industry. I have chosen to work with the stock price of a few oil companies (or oil service company) and the oil price data set as an example.
Applications of NLP in the Oil and Gas Industry
NTNU TEP4240 System Simulation, final project
NTNU Master Thesis, Energy and Process Engineering Department, Specialization: Industrial Process Technology
In this code, RGB spectrum is generated using Arduino
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