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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.
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.
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 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.