Transforming In-House Legacy Application to Leverage New Capabilities, Lessons Learn on Subsurface Modeling

After four decades of building our In-House application to deliver a unified environment for developing high-value workflows, the emergence of Artificial Intelligence and Machine Learning has forced us to adapt the platform to support new processes. To achieve this, we focused on two main initiatives. First, we created REST API services that access the same data as our legacy system and expose business objects for new processes, helping to prevent data duplication and unnecessary transfers. Second, we established an independent messaging service to enable seamless communication between the monolithic application and the broader global ecosystem. We will discuss the lessons we learned throughout this transformation, the challenges we encountered, and, most importantly, the benefits we gained as a result.