Machine-learning

Published on
February 6, 2024
Comparing geologic maps and large language models: All models are wrong, some are useful
AI machine-learning open-ai geology bot nlp experiments side-projects llm web application post-mortem map field-trips lagdal
A post mortem on a prototype web application that generates geology field trip statements for point locations. Plus, thoughts on how LLMs can improve geologic maps.
Published on
March 30, 2023
On Large Language Models and Roadside Bot Geologists
AI machine-learning open-ai geology bot nlp experiments side-projects
Learnings from an experiment to see if a large language model could be used to generate geologic descriptions of arbitrary point locations around the world.
Published on
December 11, 2019
Using Machine-Learning to Reuse Metadata: Poster at AGU 2019
nasa metadata machine-learning NLP open-data open-source catalog AGU poster F.A.I.R.Descriptions text
Creating New Metadata from Old Metadata Using Machine-Learning: A Poster Presentation at American Geophysical Union Conference 2019
Published on
August 10, 2019
Stratigraphic pick prediction via supervised machine-learning: Predictatops
machine-learning features open-data open-source geology presentation python,LAS well-logs stratigraphy tops prediction evaluation
Stratigraphic pick prediction via supervised machine-learning: Predictatops
Published on
January 24, 2019
Geoscience to Data Science Starter Pack
geology career information developers data-science machine-learning software-engineering programmer code
This post is directed at houston-based geoscience types starting off on a month to years long process of improving their skills in data science and maybe eventually getting a job in data science. It lays out the things I’ve found myself telling people in real life.
Published on
May 17, 2018
Half-baked thoughts on predicting chronostratigraphic surfaces
machine-learning features open-data open-source geology python,LAS well-logs stratigraphy tops prediction evaluation brainstorm ideas
A collection of hypotheses, ideas, and biases related to predicting chronostratigraphic surfaces in well logs.
Published on
September 17, 2017
Using Machine-learning to Extend Stratigraphic Surfaces, a hackathon project
hackathon machine-learning features open-data open-source geology python,LAS well-logs stratigraphy tops prediction evaluation brainstorm ideas
This weekend I finally got to do a hackathon project I have been wanting to try for more than two years. It leverages machine-learning to mimic human-created stratigraphic picks.

Machine-learning

Comparing geologic maps and large language models: All models are wrong, some are useful

On Large Language Models and Roadside Bot Geologists

Using Machine-Learning to Reuse Metadata: Poster at AGU 2019

Stratigraphic pick prediction via supervised machine-learning: Predictatops

Geoscience to Data Science Starter Pack

Half-baked thoughts on predicting chronostratigraphic surfaces

Using Machine-learning to Extend Stratigraphic Surfaces, a hackathon project