North by Northwest, LLC

Oil and Gas Data Science and Analytics

Rigorously quantifying the risk and return of upstream oil and gas drilling investments.

Learn more
North by Northwest, LLC

Oil and Gas Data Science and Analytics

Rigorously quantifying the risk and return of upstream oil and gas drilling investments.

Learn more
North by Northwest, LLC

Oil and Gas Data Science and Analytics

Rigorously quantifying the risk and return of upstream oil and gas drilling investments.

Learn more
About Us

Dean Sergent

Dean founded North by Northwest in 2019 and has directed the development of artificial intelligence techniques and analyses to evaluate the profitability of wells to be drilled in shale and resource plays located throughout the continental United States. Much of his career in oil and gas has been focused on statistics and risk analysis as applied to mergers and acquisitions as well as exploratory and development drilling projects. Prior to founding North by Northwest, Dean was a Managing Partner at Canaan Resource Partners where he lead the development of statistical models in the evolving US shale and resource plays. He began his career as a reservoir engineer with Tenneco Oil Company in 1985, and held subsequent positions in technology research and management at Devon Energy during the early stages of horizontal well development drilling in the Barnett Shale. He earned a Bachelor of Science in Petroleum Engineering from Marietta College (1985), and an MBA from the University of Texas (1991).

Our Services

Oil and Gas Data Analytics

Investing in upstream oil and gas drilling projects is a risky venture. Significant aspects of risk include the uncertainty and variability of initial production rates and declines, product prices, well costs, and shut-in times post-completion. With the advent of Big Data and more efficient computing capabilities, these inherent risks can be rigorously quantified, even without the luxury of proprietary production or geological information. Publicly available production databases are used to supply the regression models with the data necessary to make unbiased predictions for all of the major resources plays. Models are validated and optimized, and the output is used to calculate confidence intervals within a portfolio of investments framework. It is with this information that companies and institutions investing in oil and gas drilling projects can target higher portfolio returns while at the same time assuming less risk.

Get Started

Are you ready to find out how we can help you or your team?

Contact Us