After six years of building machine learning models for unconventional development, we have learned a HUGE amount about what it takes to build analytics-ready datasets. It’s not easy: messy tables, multiple sources, industry-specific challenges, and complicated transformations to get the data right.
We have put all of our experience and (and custom data-processing algorithms) in your hands with Data Engine. Anyone working in Data Science of Machine Learning will attest that building the input dataset is the most time-consuming, error-prone part of the dataset. Data Engine makes it quick, easy, painless, and repeatable to build analytics-ready datasets.
Latest Resources
[SPE Denver 2023] Deciphering the DJ Basin: A machine learning-driven analysis and comparison with the Permian
November 22, 2023
[SPE Denver] Deciphering the DJ Basin: A Technical Exploration and Comparative Analysis with the Permian This presentation provides an in-depth analysis of the unconventional Niobrara ...
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[Ft. Worth O.I.L Library] AI Basics for Oil and Gas
November 8, 2023
A.I Basics for Oil & Gas Explore the intersection of machine learning and onshore oil and gas development. Learn practical implementations, key concepts, and pitfalls ...
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[SPE Austin 2023] Midland Basin Performance & Inventory Analysis
November 7, 2023
[SPE Austin] Midland Basin Performance & Inventory Analysis Permian Basin well performance has been a hot topic in the industry since 2022 saw the first ...
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