DENVER and TULSA, Okla., July 11, 2019 – A paper on predictive analytics and machine learning in oil and gas co-authored by data science experts from Jonah Energy and Stonebridge Consulting has been accepted by the Society of Exploration Geophysicists (SEG) for presentation at SEG19, the association’s annual conference.
The paper, titled “Predicting Gas Production Using Machine Learning Methods: A Case Study,” presents the findings of an extensive data modeling exercise conducted by a joint Jonah-Stonebridge team.
The team used data from an active Jonah gas field to compare multiple machine-learning algorithms and determine the most suitable future drilling scenarios. Jonah has integrated the team’s findings into multiple processes, from completion reviews to assessing future well locations.
The paper’s authors include Thomas Burgett, Colleen Donegan and Taylor Ward from Jonah, and Tania Mukherjee and Telha Ghanchi from Stonebridge.
Burgett, Mukherjee and Ghanchi will present the team’s findings at SEG19, Sept. 15-20 in San Antonio. SEG’s annual meeting is a premier oil and gas industry event. Last year’s conference was attended by more than 4,000 people from 70 countries.
About Jonah Energy LLC
Jonah Energy LLC was created in 2014 with the acquisition of producing assets within the Jonah Field in Sublette County, Wyoming. It is one of the largest privately-held natural gas producers in the US.
About Stonebridge Consulting, LLC
Stonebridge Consulting provides business advisory and technology services for next-gen oil and gas. We serve the oil and gas industry exclusively. Our industry expertise, proven methodologies, and extensive project IP and solution accelerators enable us to deliver projects faster, generating measurable improvements in operational efficiency and saving project time and costs by as much as 50 percent. More information about Stonebridge is available at www.sbconsulting.com.
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