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Do you find yourself or your team turning to Excel to incorporate more detailed downtime schedules and curtailment into your Short-Term Production Forecasts? Do you struggle with incorporating downtime or capacity changes and quickly see how those changes impact your short-term production forecasts? If the answer is yes, then this webinar is for you.
It is a common problem for companies to have to maintain external spreadsheets to model curtailment or daily downtime in their field which can be extremely time consuming and error prone. In this webinar, Michael Horne will show you a powerful workflow to take your existing PDP base and Growth production data and run it through a constrained flow network to apply downtime and curtailment inside of Enersight. The resulting curtailed well forecasts can be returned to Val Nav providing a more realistic production forecast not to mention saving hours of Excel manipulation, painful reconciliation and avoid costly errors. Michael will also show you how this time saved can be redirected into looking at ways of further optimizing your downtime schedules and build simulations to test uncertain events that may further impact your production to prepare risk mitigation strategies in advance.
Michael Horne is a Solution Architect for the Canadian region at Aucerna and is responsible for helping clients design and implement their asset planning solutions and workflows. Previously, Michael worked at an upstream services company in a drilling optimization role providing analytics and execution solutions for the Canadian drilling market. Michael holds a Bachelor of Science in Oil and Gas Engineering from the University of Calgary.
45 minutes
Do you find yourself or your team turning to Excel to incorporate more detailed downtime schedules and curtailment into your Short-Term Production Forecasts? Do you struggle with incorporating downtime or capacity changes and quickly see how those changes impact your short-term production forecasts? If the answer is yes, then this webinar is for you.
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