A simple and flexible code for Reservoir Computing architectures like Echo State Networks
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Updated
May 7, 2024 - Python
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Capacitance resistance models for waterflood connectivity
simple Echo State Networks integrated with scikit-learn
Hybrid CNN-LSTM Encoder Decoder algorithm for multi-step reservoir storage volume forecasting
Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells
Qgis provider for Civil Engineering tools
A Python module to apply sequential 2D multiple-point simulation with conditioning data
The aim of this research is to develop an effective numerical method that can be used to efficiently compute surges in pipes due to valve connecting two reservoirs being rapidly opened, using a computer program developed in the Python environment.
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.
Simple modular python package for physical reservoir computing. Use your own experimental data.
GUI: Import Excel spreadsheet and convert rate and volume from metric to imperial.
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