Why is Novi Labs Is Jumping Into the Data Game?     Since starting Novi Labs seven years ago, there has been a consistent strategy ...
Oil and Gas Cube Development: How Dense is Too Dense??
Of all the levers available to an operator, perhaps none has a greater impact on unit economics than wells per section. Over ...
PUD and PDP Forecast Uncertainty: Why You Need it and How Novi Delivers
Machine learning models that forecast production for Proved Developed Producing (PDP) or Proved Undeveloped (PUD) oil and gas reserves may increase accuracy, ...
Ahead of the Curve: Introducing Novi PDP Oil & Gas Forecasting
It all started as an accident. We passed early time production to a "pre-drill" Novi model. When we saw the results, we ...
What can chess teach us about artificial intelligence in oil and gas?
In case you haven’t noticed, chess has been seeing unprecedented growth around the world. A boom that started with bored lockdowners looking ...
Machine Learning Regional Profiles for Geologic Insights: Mapping Unconventional Production Drivers in the Williston Basin
What drives unconventional oil production? Of course completions, parent-child, and well spacing all play a huge role -- but it all starts ...
Investing in Shale Oil and Gas Wells: Are you the House or the Player?
We want to invest in shale oil and gas wells that operate like a casino. Why? Casinos make lots of money based ...
Analyzing Vista’s Record-Setting Vaca Muerta Wells with Oil and Gas Machine Learning Models
After the Great Coronavirus Shut-In, Vista Oil & Gas turned back on their new Vaca Muerta pad. A pleasant surprise greeted them. ...
Making sense of it all: extracting actionable core-data from pXRF using PCA and K-means cluster analysis
Editor's note: we are excited to present this work, the winner of Novi's inaugural Student Blog Contest. Many thanks to Esben and ...
Novi geoSHAP – estimating rock quality using SHAP values in machine learning models: URTeC 2020 Novi Paper Summary
"What do you mean the model doesn't use **INSERT PET GEOLOGIC VARIABLE HERE**?!" Anyone who's built and reviewed enough machine learning models ...