Nathaniel Jones

Nathaniel Jones

Company: California Resource Company

Job title: Data Scientist


Nathaniel Jones is a geologist and data scientist at California Resources Corporation (CRC). He has a Master’s of Science in Geology from the University of Texas at Austin and has 8 years of practical industry experience using data driven analytics, machine learning, geomodelling, petrophysics, and computer programming to find and de-risk field development opportunities. He has experience driving changes to data management, architecture, and cloud adoption within CRC and building company-scale, adaptable data science processes that moves projects beyond proof-of-concept to deployment. He has attended and organized ‘hackathon’ type events, internal industry focused python classes, and has presented on data pipeline architecture and hybrid physics/machine learning approaches to drilling and workover project vetting/ranking to guide project selection, integrate data across subject matter disciplines, and augment industry professional’s workflows throughout CRC. He is a member of, an open community of data geoscience professionals and students driving the development of open source software and open, reproducible research for subsurface data science.


Deep Dive: Python Data Science that Works: Principles of Project Design to Ensure your Projects can Grow with Agility Beyond Proof of Concept 2:30 pm

A deep dive into why O&G data science projects ‘fail to scale’ following successful proof of concept studies and what you can do to stop that happening A practical look into how you set up a project so you can adapt when change comes your way How do you structure a project to be successful,…Read more

day: Day Two

Achieving Improvements in Company-scale Capital Allocation with Reduced Physics and Deep Learning to Evaluate the risk/reward of new Completions in Workovers and New Drills 10:10 am

Learn how to integrate machine learning and physics knowledge to overcome issues with limited datasets and improve risk characterization of new completion opportunities See how to use the results from data driven pipelines to high-grade opportunities and incorporate data-driven risk/uncertainty into capital planning Review case study, obstacles, and techniques for deploying data science into existing…Read more

day: Day Two

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