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Managing Asset Decommissioning

Managing Asset Decommissioning

Presented by Paul Allan, Vice President Consulting, Aucerna.

By attending this webinar, you will learn how a portfolio modeling approach based on linear programming provides an ideal tool for managing the complex decision networks required for decommissioning analysis.  Portfolio modeling provides a means of assessing value at multiple levels of the problem – including maximization of value at the asset, hub, entity, or JV levels.  This webinar outlines the fundamental elements of this model and demonstrates the value differential between application of this approach and use of more conventional roll-up, ranking, or incremental evaluation techniques.

What will you learn?

Paul will demonstrate a basic structure for a decommissioning model, including:

  • Considerations of cessation of production (COP) timing at both the asset and hub levels, demonstrating the value in applying a holistic analysis across entities.
  • Tax considerations (application of prior losses) and the impact these may have on decisions.
  • A comparison between portfolio optimization (at an aggregate level) and asset level assessment or ranking

This webinar will provide attendees with a robust example of the ways in which portfolio analysis and modeling can assist in gaining insights into complex systems.

About the presenter
Paul Allan

Paul Allan

Vice President Consulting

Available recordings

Each recording contains the same content aside from the Q&A session specific to each region.
North America & Europe
Thursday, May 7, 2020. 8:30 AM MDT | 9:30 AM CDT | 3:30 PM CET

About this webinar

This is a Recording from
  • May 7th (North America & Europe)
Presented by
Paul Allan, Vice President Consulting
duration

45 Minutes

description

The capital obligations, multiple-party interests, and shared infrastructure utilization that characterize many assets, significantly complicates decisions around asset decommissioning. This webinar will provide an overview of the ways in which portfolio modeling and linear optimization can simplify analysis of complex systems.

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