Overview
Following the sale of our client’s downstream business, all relevant sub-surface technical data needed to be migrated to the buying company. E&P supported the transition process to deliver a seamless data migration to the buying company.
Objective
E&P was tasked with helping the client to problem solve and overcome several key challenges related to the transition process, including:
- Difficulty establishing the definitive models from interim non-definitive working models (other than the limited set provided in the pre-sale data room).
- Clearly understanding the licensing constraints associated with passing interpreted data and raw seismic data between different corporate entities (when only one entity has a license) and the transferability of licenses.
- Identifying key physical data (e.g., core samples or paper well logs) that needed to be passed to the new company when supporting documentation was of an inconsistent quality.
Solution
- Build a team to efficiently tackle each of the identified problems.
- Ensure license contract terms correctly interpret to avoid potential liabilities and penalties.
- Use automated tools to efficiently analyse data models to support critical business decisions for the purchasing company.
- Digitalise physical archival records to minimise physical transfer and ongoing storage costs.
Benefits
- A cross-discipline team was formed with digital domain skills to efficiently tackle each of the identified problems. This included financial incentive strategies for key personnel to remain in place, ensuring a full and successful knowledge transfer in line with the deal completion.
- Legal representation with domain experience was sourced to correctly interpret license contract terms.
- Automated scripting was used to provide first-pass analysis of data models to exclude those least likely to be candidates for transfer based on age or location.
- Physical archival records were systematically assessed against sale requirements and digitised to minimise physical transfer and ongoing storage costs.