4 Ways AI Is Making Upstream Planning and Scheduling Faster, Smarter, and More Cost-Effective

Upstream teams are being asked to do more with less. Prices swing, capital is tight, and most planning still lives in scattered spreadsheets that don't talk to each other. When conditions change, the schedule falls apart and the team is back to firefighting —with no fast way to test what a different decision would have meant.

This session is about fixing that. Join Wesley Schumacher and Michael Pendleton to see how upstream teams are bringing planning, scheduling, and execution into one connected view they can actually trust, so they can make confident decisions even when the market doesn't sit still. 

We'll walk through four real challenges:

• Stretching every dollar: See how smarter onshore well delivery scheduling, from spud to first production, helps you get more out of tight capital budgets.
• Keeping complex operations safe: Learn how offshore scheduling handles SIMOPS and multi-crew coordination to keep high-stakes operations on track.
• Maximizing production uptime: Discover how workover scheduling prioritizes the right programs to get the most from your existing wells.

• Scaling up with confidence: See how asset development planning aligns capital spend, production forecasts, and infrastructure in one view.

Across all four, you'll see AI automatically build and refine schedules against your own goals, and how scenario analysis enables you to test "What if?" changes before they happen, so your team spends less time reacting and more time deciding.

This is a live look at Decision Support and Optimization (DSO) software, purpose-built to bring planning, scheduling, and execution together for upstream oil and gas teams.

Who should attend: Planners, schedulers, drilling and completions engineers, asset managers, and anyone responsible for capital efficiency and production targets.

Speakers:

Wes Schumacher Senior Solution Engineer,    Prometheus Group

Michael Pendleton Senior Solution Engineer, Prometheus Group