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pdda-hackathon-2020

This notebook was created for PDDA Hackathon 2020

pdda-machine-learning-competition-2020

PDDA Machine learning Competition for predicting well logs

pdda-sonic-log-prediction

peg_python

Petroleum Engineering and Geosciences exercises in Python

permeability_notebooks

Jupyter Notebooks to calculate permeability of mixed siliclastic sediments (sand, silt, clays) following Luijendijk & Gleeson (2015)

petroalchemy

Open source petroleum forecasting and financial tool.

petrodc

Petroleum Data Collector

petroeval

petroflow

Well data processing and interpretation with ML and deep learning

petrogg-modified-for-shaly-sand-interpretation

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.

petroleum_production_prediction

The final project at university using machine learning and deep learning to predict oil and gas production

petrophysics

A python package with useful functions for well log interpretation.

petrophysics-python-series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

petropy

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

pge334-resgeomechanics

Webpage source for PGE 334 Reservoir Geomechanics

phd-thesis-template

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

phdthesis

Numerical Modeling of Hydraulic Fractures

plotlas

Simple plotting routine for ASCII well log data. Depends on lasio.

pore-network-generator

Pore Network Generator Written in C++11

practical_ml_tutorial_facies_examp

predict

predict-and-print-lithology

The objective is to analyse 6 datasets of oil well and predict whether the 7th well has oil or not and also to predict and print the lithology of 7th well using machine learning algorithms and print lithology in GUI.

predict-permeability-using-artificial-neural-networks-ann-

predictatops

Stratigraphic pick prediction via supervised machine-learning

prediction-of-oil-production-from-shale-well-project

This was a project submitted as part of the requirement for the course "Guide to Engineering Data Science"

presto

The Python Reservoir Simulation Toolbox

probabilistic_reserve_evaluation

proj02

pvttool

A Matlab toolbox for the PVT calculation using the cubic equations of state (EOS)

pybandpassseis

Applying BandPass filter to seismic data in a user friendly way.