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.)
Reservoir simulator in Python language
Machine learning framework for reservoir simulation
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
My RE (reservoir engineering) Python code
CAPTAS is a program for the interpretation and simulation of pressure tests in wells.
3D Graphical Output of well producers and injectors in oil reservoir.
Python library to quickly estimate pressure dynamic and CO2/H2 storage capacity of petroleum fields and aquifers + many useful tools
Web App to apply EOR methods Screening
This is a simple code to carry out MonteCarlo Simulation for Reservoir Estimation developed using Visual Basic for Applications (VBA).
Geoscience and petroleum engineering open-source programs in Python
This R Notebook project illustrates how Artificial Neural Network can be applied to Reservoir Characterization dataset. It illustrates the relationship between a dependent variable and several independent variables using ANN.
During my internship experience I learned how to perform some code in Fortran 90 and learn how foam is feasible and if can be useful as an Enhanced Oil Recovery EOR method to efficiently manage oil production in naturally fractured reservoirs.
Simulação de reservatório de petróleo utilizando MRST
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.
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.
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