petroleum-engineering

vibrationtoolbox/vibration_toolbox

Educational Vibration programs. Intended for undergraduate and early graduate students.

equinor/flownet

FlowNet - Data-Driven Reservoir Predictions

frank1010111/pywaterflood

Capacitance resistance models for waterflood connectivity

derrickturk/aRpsDCA

R package for Arps decline curve analysis.

salmansust/Machine-Learning-TSF-Petroleum-Production

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 availability of extensive amounts of historical data along with the need of performing accurate production forecasting, particularly a powerful forecasting technique infers the stochastic dependency between past and future values is highly needed. In this research, we applied machine learning approach capable to address the limitations of traditional forecasting approaches and show accurate predictions and showed comparison of different machine learning models. For evaluation purpose, a case study from the petroleum industry domain is carried out using the production data of an actual gas field of Bangladesh. Toward a fair evaluation, the performance of the models were evaluated by measuring the goodness of fit through the coefficient of determination (R2 ) and Root Mean Square Error (RMSE), Mean Squared Error (MSE) , Mean Absolute Error(MAE) and model Accuracy

aegis4048/GasCompressibility-py

Gas compressibility z-factor calculator package in Python

f0nzie/zFactor

Philliec459/Estimate-Core-Permeability-from-NMR-data-using-either-Map-Inversion-or-kNN

Estimate Core-based Permeability from NMR well log data

Philliec459/NEW-Carbonate-Characterization-Workflow-Jupiter-Notebook-Modules-with-Clerke-Arab-D-Calibration-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

FracThePermian/Reservoir-Simulation-Part-B

3D Graphical Output of well producers and injectors in oil reservoir.

LukasMosser/geo-deadlines

Repository of upcoming abstract submission deadlines for geoscience conferences

maribickpostanes/Displaying-Well-Log-Parameters--Plots-and-Animations

The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.

mwentzWW/petrolpy

Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks

derrickturk/pydca

A "simple" decline-curve analysis example in Python

Yous3ry/Python_Automated_DCA

Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells

Philliec459/Altair-used-to-Visualize-and-Interrogate-well-by-well-Production-Data-from-Volve-Field

The objective of this project is to interactively interrogate oil field production data using Altair

Philliec459/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.

frank1010111/bluebonnet

Scaling solutions for production analysis from unconventional oil and gas wells

Philliec459/Altair-used-to-Select-Samples-from-Poro-Perm-Cross-Plot-to-Display-the-respective-Pc-Curves

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

Philliec459/ChartBook-Neutron-Density-Porosity-Estimations-using-KNN

Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN

pro-well-plan/pwploads

Load cases for tubulars

volpatto/anp-data-analysis

Repo that contains an exploratory data analysis of pre-salt wells and geo data from ANP data base

Philliec459/NEW-Shaley-Sand-Log-Analysis-Tutorial-using-Combined-NMR-and-Conventional-Logs

Shaley-Sand Log Analysis Tutorial using Waxman-Smits and Dual-Water

f0nzie/rEcl

R interface to Eclipse parser of binary files

alex-kalinichenko/re

My RE (reservoir engineering) Python code

Philliec459/SKLEARN-used-to-predict-Petrophysical-Rock-Types-in-Arab-D-Carbonate

Use of Sklearn to predict Petrophysical Rock Types (PRT) in an Arab D carbonate based on Clerke's Rosetta Stone Calibration data

f0nzie/petro.One

A reproducible platform to improve paper search and selection in OnePetro

jshumway0475/Petroleum

Discounted cash flow analysis for oil and gas

maribickpostanes/Interactive-Horizon-Surfaces-Plot

This open-source code repository provides a Python implementation for generating an interactive horizon surfaces plot using Plotly. The focus of this code is to visualize the Volve horizons in a 3D surface plot.

Philliec459/Estimations-of-Mode-of-Pore-Throat-Distribution-using-Tensorflow

Utilized Tensorflow to estimate the Mode of a Pore Throat Distribution based on Carbonate Core Data

tstran155/MATLAB_modeling_two_phase_flow

Modeling two-phase flow and transport in porous media using MATLAB.

FracThePermian/FEM-Reservoir-Drainage-3D

Compares analytical/numerical results for the drainage of a single well.

maribickpostanes/Interactive-Seismic-Data-Section-Plot

This repository contains a Python script that uses the Plotly library to create an interactive web-based application for plotting seismic data sections from SEG-Y files.

maribickpostanes/Interactive-Well-Trajectory-Plot

This open-source code repository provides a Python implementation for generating an interactive well trajectory plot using Plotly. The focus of this code is to visualize the trajectory of Well 15/9-F-5 from the Volve dataset.

Philliec459/facies_classification