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Contributing Wells — Using Novi Production Modeler Software to See Which Wells Contributed to the Prediction

Using Prediction Engine to Evaluate Whiting’s Undrilled Acreage

Impact of delay-and-infill strategy on recoveries and returns :: Parsley – Jagged Peak acreage

Using game theory and confidence interval outputs from a machine learning model to risk adjust oil well returns

Iterating and optimizing completion designs across NBL’s entire Delaware DUC inventory in minutes

Given sub-$30 wti strip, how can NBL maximize returns on their DUC inventory?

Changing plans on a dime: analyzing QEP’s Midland asset given sub-$30 WTI strip with Novi Prediction Engine

Deriving a regional subsurface model in a day from logs and tops – Novi Subsurface data extraction workflow

AAPG Explorer article “Is the Next Oil Production Breakthrough Already Here?” featuring Novi President Jon Ludwig

Prediction Engine Version 2 Software Demonstration

SHELL iSHALE® COLLABORATES WITH NOVI

JPT Article Featuring Novi – Rapid Evaluation of Development Ideas Has Engineers Thinking: What If?

Novi / Range Resources SPE-191796-18ERM-MS: Integrating Big Data Analytics Into Development Planning Optimization

Co-Develop vs. Infill – A Complex Question

Barclays Bank "Frac to the Future" Analyst Report (rel: January 2020)

Evaluating PV10 acquisition scenarios using Novi Cloud outputs in Spotfire

Using Novi Prediction Engine to evaluate Parsley Energy’s acquisition of Jagged Peak

Novi AAPG ACE 2019 Paper – Production and Subsurface Machine Learning Model for Predicting Hydrocarbon Recovery

Picking the Best Statistical Approach for Modeling Hydrocarbon Systems

5 Ways to Prevent Over-Engineered and Overpriced Wells