“What do you mean the model doesn’t use **INSERT PET GEOLOGIC VARIABLE HERE**?!” Anyone who’s built and reviewed enough machine learning models will instantly recognize the question above — some geologic variable (could be carbonate %, hydrocarbon pore volume, permeability, anything) is dropped in the feature selection process due to high correlation with another input […]
Conference Presentations
Water, water everywhere: understanding water production drivers and improving forecasts in the Williston Basin
Editor’s note: after URTeC, this paper was featured in JPT. Click through to learn more. How often does an engineer dash off a simple water forecast, doing something like applying a flat WOR to their oil prediction? It’s easy to ignore water, but unexpectedly high production can damage well economics, or–in the worst cases–force shut-in […]
The Changing Impact of Completions Through Time: URTeC Preview
“Upsizing completions increases production 37.5%*!!!” Sure, but when? Where that asterisk lands will have a huge impact on the returns of any completions decision. If it’s Peak Rate, that might shorten payback. If it’s EUR — now you might have a real valuable well. Machine learning models can be trained to predict a time series […]
Building Unbiased Benchmarks with Machine Learning :: URTeC Preview
90% of American drivers say they’re better than average, and 90% of Shale focused Operators have “peer-leading” breakevens, returns and well production forecasts. Suuuure they do! How do you cut through Investor Relations fluff to identify top-performing operators to learn from — or underperformers to acquire? Simply looking at raw production numbers without the context […]
Join Us at SPE HFTC 2020
The SPE Hydraulic Fracturing Technology Conference showcases existing and new hydraulic fracturing technologies, using experiences from fracture-stimulated wells, and the application of global learnings.
Takeaways from URTeC 2019
The second year of URTeC in Denver saw record-breaking attendance, clearly signaling the growing importance and hunger in the oil & gas industry to bring geoscience and engineering together under one roof to discuss the technical trends that are sustaining the shale revolution.
Recap of Novi’s AAPG Ace Talk
On May 22 Novi’s chief geophysicist Kiran Sathaye gave a technical presentation at AAPG ACE 2019 in San Antonio on leveraging AI to predict hydrocarbon recovery.