Machine learning framework for reservoir simulation
Educational Vibration programs. Intended for undergraduate and early graduate students.
FlowNet - Data-Driven Reservoir Predictions
Capacitance resistance models for waterflood connectivity
R package for Arps decline curve analysis.
Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availab…
Gas compressibility z-factor calculator package in Python
Estimate Core-based Permeability from NMR well log data
Carbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore system characterization with modeled saturations using Thomeer Capillary Pressure parameters for an Arab D complex carbonate reservoir
Repository of upcoming abstract submission deadlines for geoscience conferences
The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.
Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks
3D Graphical Output of well producers and injectors in oil reservoir.
A "simple" decline-curve analysis example in Python
We have used Mihai's PetroGG and modified the program to be used with our shaley-sand Gulf Coast data. In this version we are using Vshale and not Vclay, and we have added Waxman-Smits and Dual-Water saturation models appropriate for these data.
The objective of this project is to interactively interrogate oil field production data using Altair
Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells
Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN
Scaling solutions for production analysis from unconventional oil and gas wells
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