Simulate the end-to-end well drilling and completions process for hundreds of unique designs in only minutes. Discover the optimal trade-off between production, cost, cycle time, emissions, and risk.
PrePad™ has an economic optimizer built on the industry's only drilling and completions simulator, allowing operators to maximize their financial returns while minimizing GHG emissions and risks.
What used to take a team of people months to accomplish can now be performed by a single staff member in minutes.
Simulating hundreds of scenarios reveals ways to reduce emissions for the lowest cost and operational risk.
Understand the relationship between any financial metric for all simulated scenarios i.e.: free-cash-flow (FCF) vs completions cost per well.
"PrePad helped Artis discover ways to increase 2-yr free cash flow by $500k per well by enabling Artis to estimate costs and cycle times with extraordinary speed and flexibility."
-Kevin Johnson, VP Engineering - Artis Exploration Ltd.
Unlike Excel or in-house models, we allow operators to simulate the precise drilling and completions process by incorporating well pad design parameters, first principles physics models, and machine learning.
Powerful algorithms accurately simulate the end-to-end drilling and completions well manufacturing processes.
Increase collaboration among teams. High-speed processing of complex computations, remote updates, and software improvements.
The underlying algorithms are not black box, artificial intelligence; they are transparent, authentic intelligence. Designed to strike the perfect balance between power and simplicity.
By running over 10 times more iterations than practical due to highly manual and iterative tools currently available.
By exploring new hypothetical design scenarios that would otherwise not have been evaluated without the software due to limited resources.
"You can't take this tool away from me."
– Senior Well Engineer, Supermajor Oil & Gas Company
PrePad™ is a product from First Step Analytics, a company founded by a team of former Shell engineers.
Sean spent the last 11 years at Shell, leading teams in their shale oil and gas business across the Americas. He served in various roles including Strategic Supply Chain Lead, Completions Engineering Manager for Canada and Product Manager for the Shell MVP. He is a Bachelor of Science in Mechanical Engineering from the University of Manitoba and completed his MBA at Cornell University.
Brandon has been with Shell for the past 3 years, supporting multiple businesses through Shell TechWorks. He was a Senior Systems Engineer, Full Stack Software Developer for the Shell MVP and has experience as an entrepreneur in various startups. Brandon has completed both his Bachelor degree and Doctorate in Electrical Engineering at Auburn University.
Kohl has dedicated the last 9 years to building products. 6 of which have been with Aucerna, working with upstream Oil and Gas planning tools and a multitude of customers. Kohl has also been involved with startups in the FinTech and AgTech space. With a Bachelor of Science in Geophysics, Kohl brings a diverse resume to the table, integrating product management, software development, and industry experience together.
Trevor has been in Business Development and Technical Sales roles in the energy sector for the past 16 years and has experience as an entrepreneur in an energy service startup. He has a Bachelor of Science degree from the University of Saskatchewan and completed his MBA at the University of Calgary specializing in Global Energy Management and Sustainable Development.
Ryan spent the last 11 years at Computer Modelling Group Ltd. (TSE:CMG), a reservoir simulation SaaS company, most recently as CEO/Board Director leading teams across all functions. He also has experience as an entrepreneur co-founding, Acceleware (TSX:AXE). Ryan has 20 years of experience in computer software technology and consulting; he holds a B.Sc. & M.Sc. in Electrical Engineering with a Computer Engineering Minor.
It's time to take charge of your well pad planning process.