Automated decision support expedites the identification and management of candidates for well intervention. Available on-premises, and in the cloud, these AI and workflow automation solutions deliver a breakthrough in proactivity by dramatically reducing the time and effort spent on well reviews with insights that enhance decision accuracy and quality.
Expedited screening, at scale
The traditional well review process is slow, manually intensive, and inefficient, resulting in a reduced impact to release production potential. A lack of standardization contributes to low confidence in decision making, with a high probability that information and models are not fully synchronized. Bespoke processes and engineering bias makes comparing opportunities difficult.
The approach to addressing these challenges begins by consolidating data across systems and sources—from reservoir properties to production data and well schematics. Automated decision support is provided through an integration of engineering best practices with advanced data science and use of historical data for the identification of workover, reactivation and behind casing opportunities.
