As the industry leader in A&D and liability analysis software, XI Technologies is excited to announce a workshop to introduce the latest tool to compliment our powerful LLR Analysis Module: ARO Cost Model
Workshop: ARO vs. LLR – Getting past common government regulator oversights to understand liability costs
Estimating retirement obligation liability for a portfolio of wells/facilities or an entire company is a crucial, yet difficult aspect of scoping for A&D deals. LLR ratios and government calculated liabilities only tell half the story. This workshop details the most common oversights to government regulator LLR programs, and introduces XI’s latest addition to the A&D workflow: ARO Cost Model
This session includes guest speaker Mike Newton of Hub International, a firm dedicated to helping people understand what risk services and insurance options align with their corporate goals. ARO is a key aspect of risk management and a disciplined retirement strategy is essential for corporate financial planning. Mr. Newton has been at the forefront of liability management and has enhanced perspectives on how corporations should value their liabilities. He will address common misconceptions in the energy industry regarding ARO and the implications they create for companies.
If you are involved in M&A, A&D, business evaluations or liability management, you will not want to miss this workshop.
Register now for this complimentary Workshop: Two sessions available
February 23: 7:45 – 9:00am XI Technologies Training Centre – Morning Session
February 23: 1:15 – 2:30pm XI Technologies Training Centre – Afternoon Session
For any questions about this session, or any XI products, please contact XI Support anytime or call 403.296.0077.
About XI Technologies
XI Technologies Inc. (XI) is a privately-owned company based in Calgary, Alberta, Canada. XI creates essential research tools for the Western Canadian energy industry. Primarily focused on A&D research, drilling research, and regulatory compliance programs, XI software helps companies interpret data to make better decisions.
