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Jupyter Notebook
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Created over 4 years ago
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Philliec459

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

View-Thin-Section-Images-from-a-Porosity-Permeability-Cross-Plot-using-Python-Altair

This is some very simple python code to view thin sections from a porosity vs. permeability cross plot using python's Altair and Pane

Jupyter Notebook

Jupyter-Notebooks_for-Characterization-of-a-New-Open-Source-Carbonate-Reservoir-Benchmarking-Case-St

We have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for reservoir characterization, uncertainty quantification and history matching.

Jupyter Notebook

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

Estimate Core-based Permeability from NMR well log data

Python

Semantic-Segmentation-of-Petrographic-Thin-Sections-using-Keras

This repository was inspired from Divam Gupta's GitHub repository on Image Segmentation Keras

Python

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

Jupyter Notebook

Marine-ObjectDetection-and-InstanceSegmentation-using-Detectron2-developing-our-own-Training-Weights

Nautical Object Detection using Detectron2 for Instance Segmentation Trained on Nautical Objects (buoys, ships and land).

Jupyter Notebook

Simple-Neural-Network-to-Estimate-Carbonate-Rock-Types

We have developed a simple, 1 layer neural network to estimate Rock Types

Jupyter Notebook

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

Jupyter Notebook

Geolog-Python-Loglan-use-of-Altair-to-Interrogate-Log-Analysis-data

The objective of this repository is take advantage of Geolog's powerful python loglan capabilities to interrogate Petrophysical well log data using python's interactive Altair in Geolog. The use of python in Geolog will allow us to leading-edge data science techniques in Geolog to process, interrogate and interpret out logs.

Jupyter Notebook

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.

Jupyter Notebook

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

Jupyter Notebook

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

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

Jupyter Notebook

Geolog-Project-with-Interactive-Pickett-Plot-and-Lithology-Optimization-Using-Python-Loglans

This repository includes a Geolog Project with Interactive Picket and Lithology Optimization performed within Geolog using python loglans

Python

Comprehensive-Petrophysical-Characterization-workflow-for-a-Carbonate-Reservoir

We have developed a comprehensive Petrophysical Characterization Workflow for a carbonate field, and to demonstrate it, we have created a Jupyter Notebook on GitHub. Our workflow comprises several steps, and we have used chatGPT3 to refine our python coding.

Jupyter Notebook

Create-Thin-Section-Image-Labels-for-Semantic-Segmentation-Training

This is an example of creating labeled images to be used in Keras image-segmentation training

Python

Carbonates-Estimate-Petrophysical-Rock-Types-PRT-from-normalized-core-data-using-KNN

Predict Petrophysical Rock Types (PRT) using KNN

Jupyter Notebook

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

Jupyter Notebook

Geolog-Used-to-Automate-the-Characterization-Workflow-using-Clerkes-Rosetta-Stone-calibration-data

Geolog used to automate the Carbonate characterization workflow using Clerke’s Arab D Rosetta Stone calibration data. This technique provides for a full pore system characterization with modeled Capillary Pressure saturations for an Arab D complex carbonate reservoir.

HTML

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

Lasso

Altair-used-to-Assess-Rock-Typing-Techniques-Comparing-to-Winland-r35-and-Amaefule-FZI-RQI

This repository is aimed at comparing the most dominant pore throat distribution from core data and relating this to what is estimated from Winland's r35 and Amaefule's FZI

Jupyter Notebook

Geolog-Project-Notebook-for-a-Comprehensive-Interactive-Petrophysical-Analysis-Workflow

This repository has all of the python code and methods for a Comprehensive interactive petrophysical analysis workflow using python’s Panel and Param for both Jupyter Notebooks and as python loglans in a Geolog project.

Jupyter Notebook

Geolog-Used-to-Model-Thomeer-Parameters-from-High-Pressure-Mercury-Injection-Data

This repository provides a Geolog Project that is used to model SCAL High Pressure Mercury Injection (HPMI) core data

Calculate-Archie-Water-Saturations-after-Fine-Tuning-Electrical-Properties-to-Pickett-and-Buckles-Pl

Calculate Archie Water Saturations after Fine-Tuning Electrical Properties to Pickett and Buckles Plots using Python’s Panel Library

Jupyter Notebook

NMR-Log-Echo-Train-Inversion-in-Geolog-using-Scipy-Optimization

This repository employs NMR log echo train inversion using Scipy optimization with Tikhonov regularization, which adds a penalty term equal to the sum of the squares of the parameters. This project has both a Jupyter Notebook as well as a Geolog project.

Jupyter Notebook

Panel-used-to-Create-Relative-Permeability-Curves-using-the-Corey-Technique

The Corey relative permeability technique is a widely used empirical approach to model the relative permeability curves of two-phase flow in porous media.

Jupyter Notebook

Characterization-in-Geolog-of-a-New-Open-Source-Carbonate-Reservoir-Benchmarking-Case-Study-by-Costa

We have used the new Hierarchical carbonate reservoir benchmarking case study created by Jorge Costa Gomes for reservoir characterization, uncertainty quantification & history matching.

HTML

Carbonate-Characterization-Jupiter-Notebook-Workflow-Modules-with-Clerkes-Arab-D-Calibration-Data

This repository uses Jupyter Notebooks to demonstrate a tried and proven workflow with the techniques as described by Phillips(1) et al. used in the characterization of most Arab D reservoirs in Saudi Arabia. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated in this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s(2) Arab D Rosetta Stone core analysis database is used as the calibration data.

Jupyter Notebook

Older-Combined_NMR_Conventional_Logs-Shaley-Sand-Analysis-using-PetroGG

Mihai's PetroGG modified to be used with our shaly-sand Gulf Coast NMR data.

Jupyter Notebook

Utilize-Continuous-Core-Images-to-Calibrate-Borehole-Image-Logs

Take continuous high-resolution digital core images of the reservoir rock and process these images to define sand vs. shale for Borehole Imagelog calibration and Sand Count

Pytorch-SSD-for-Marine-Objects-JP4.3

In this repository we use @dusty-nv pytorch-ssd example but with this repository we train for marine objects

Python

Altair-used-to-Interrogate-Petrophysical-Well-log-data

In this repository we interrogate petrophysical log data using Python's Interactive Altair

Jupyter Notebook

Clastics--Assess-Depth-Interval-from-NMR-log-to-Generate-Thin-Sections-and-Pc-Curves-using-KNN

Assess discrete depth interval to estimate the Petrophysical properties for that interval

Jupyter Notebook

Thomeer-Used-to-Model-High-Pressure-Mercury-Injection-Core-Data

In this repository we provide the python code used to Closure correct and model HPMI data employing the Thomeer hyperbola for up to two pore systems.

Jupyter Notebook

Philliec459

This is my personal GitHub repository to contain my READMD.md file

NMR-Echo-Train-Inversion-to-created-a-typical-NMR-log

This repository contains the python code for NMR Echo Train Inversion to created a typical NMR log T2 distributions and NMR log outputs.

Python

Science-and-Technology-Society-Use-of-NASA-STELLA-Q2-Spectrometer

The NASA STELLA-Q2 can make 18 different measurements from violet/blue portions of the electromagnetic spectrum out to near infrared regions (beyond our range of vision). STELLA instruments are portable low-cost do-it-yourself (DIY) instruments that support science education.

Jupyter Notebook

Altair-Used-to-Evaluate-Core-Data-Showing-Thin-Section-Photomicrographs-for-Selected-Samples

We are using python Altair to evaluate Core Data showing Thin Section photomicrographs for select samples

Jupyter Notebook

Semantic-Segmentation-Keras-per-Divam-Gupta-with-kMean-clusters-as-presented-by-Vidhya

kMean clusters used for final labeling of segments

Python

Carbonates--Generate-Representative-Thin-Sections-and-Pc-Curves-from-normalized-core-data-using-KNN

Generate a Representative Thin Sections and Capillary Pressure Curves from any poro-perm combination using normalized core data with kNN backed by the Rosetta Stone Arab D Carbonate core database as calibration data.

Jupyter Notebook

Jetson-Inference-Pytorch-SSD-used-to-Detect-Marine-Objects-using-JP4.4

We are using @dusty-nv jetson-inference repository with pytorch-ssd written for JP4.4 modified for marine object detection.

Python

Methods-to-to-solve-for-Klinkenberg-Permeability-from-Permeability-to-air

Methods to to solve for Klinkenberg Permeability from Permeability to air using Newton-Raphson and SciPy Optimization

Jupyter Notebook

Launchpad-for-STS-Processing-of-STELLA-Spectrometer-Landsat-and-PACE-Ocean-Data

Launchpad for Sarasota Science and Technology Society (STS) Processing of STELLA Spectrometer, Landsat and PACE Ocean Data

Jupyter Notebook

STS-Software-to-Download-and-Process-NASA-PACE-Ocean-Ecosystem-hyperspectral-data

We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code.

Jupyter Notebook

STS-STELLA-Spectrometer-Readings-on-Various-Plant-Species-with-NDVI

This is a Science and Technology Society (STS) of Sarasota-Manatee Counties that shows the data from a series of NASA STELLA-Q2 Spectrometer readings on a number of vegetative species with calculations of NDVI to differentiate species using Decision Tree logic and Knn from the mean end member data.

Jupyter Notebook

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

Philliec459

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