Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
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Updated
Sep 27, 2020 - Jupyter Notebook
Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
Machine learning framework for reservoir simulation
Reservoir simulator in Python language
Curated from repositories that make our lives as reservoir engineers and geoscientists easier or just more awesome
Python methods for geoscientists, geochemists and reservoir engineers working in geothermal resources.
Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells
3D Graphical Output of well producers and injectors in oil reservoir.
Geoscience and petroleum engineering open-source programs in Python
My RE (reservoir engineering) Python code
Discounted cash flow analysis for oil and gas
ReservoirFlow: Reservoir Simulation and Engineering Library in Python
The Corey relative permeability technique is a widely used empirical approach to model the relative permeability curves of two-phase flow in porous media.
CAPTAS is a program for the interpretation and simulation of pressure tests in wells.
Screening CO2 storage potential in petroleum reservoirs on the Norwegian Continental Shelf
This Python script creates a Streamlit web application for a quick IPR Calculation for both an oil and gas reservoir. It collects user input test data and with it performs a curve fitting using scipy.optimize, fitting the Inflow Performance Relationship curve to the data.
3D 3-Phase Black-Oil Reservoir Modelling and Simulation in Python.
Python library to quickly estimate pressure dynamic and CO2/H2 storage capacity of petroleum fields and aquifers + many useful tools
🌍 Optimize CO₂ storage in geological formations using advanced algorithms for safe and efficient carbon dioxide injection and management.
Leveraging Data Science for the Energy Sector: A comprehensive portfolio of Python and SQL solutions driving efficiency in exploration, production, and asset optimization.
Practicum by Yandex Project 8: In this project, we would apply machine learning in business. We are to develop a model that would predict the volume of reserves in new wells, pick the region with the highest total profit, and optimize well placement.
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