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Actenum Announces Release of DSO Version 7.0 Scheduling Software (Its Advanced Oil & Gas Upstream Operations Scheduling Software)
Monday, April 3, 2023Company Profile | Follow Company
Vancouver, BC, April 3, 2023--(T-Net)--Actenum Corporation announced today that Version 7.0 of Actenum DSO, the company's advanced Oil & Gas upstream operations scheduling software, has been released to customers.
Version 7.0 incorporates significant new capabilities that enhance schedule management and review across an entire organization, with advanced permission-based collaboration and editing features.
Users who are responsible for specific collections of data related to any schedule are now able to manage that data directly and ensure that up-to-the-minute changes are applied and available to all stakeholders. Critical decisions about operational issues may now be made more rapidly, based on accurate assessment of their impact.
The enhanced emissions capabilities available in this release enable upstream energy companies to accurately forecast, manage, and report on their greenhouse gas emissions.
Numerous other new features are also included in DSO 7.0, that enhance usability and productivity.
"We worked with several of our customers to prioritize features to be incorporated into Version 7.0, and also conducted an Early Access Program with early versions of the software, to gather valuable feedback," says Paul Maurer, Actenum's CEO. "Emphasizing more collaborative scheduling, and enabling teams to access schedule data when they need it, from anywhere, will improve operations efficiency, minimize schedule conflicts, and lower costs."
About Actenum Corporation
Actenum's scheduling software is used to plan and optimize a wide variety of mining and upstream Oil & Gas operations including construction, drilling, fracturing, facilities and pipeline, workovers, well integrity servicing, and general maintenance. We create business value by increasing operational efficiency, reducing cycle times, and improving project team collaboration. Deep knowledge of scheduling best practices, combined with an AI-powered decision support and optimization engine, results in measurable improvements to corporate performance.
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