Vendor-Independent Workflow Architecture to Integrate Domain Applications and Accelerate R&D to Production

Real data liberation can only be achieved by substantial industrial cooperation to establish robust API standards for data transfer in to and out of the data layer. As the E&P industry moves to enable this transformation, more players are entering the software landscape providing modern and innovative solutions. A vendor-independent workflow architecture solution that allows users to connect services from different providers and internal products as part of their routine workflows has been established to ensure flexibility and to drive automation.

The solution is built predominantly in Python, with a series of microservices containerized with Docker and running in Kubernetes clusters on Google Cloud Platform (GCP), all of which is managed as infrastructure as code with Terraform. It has key important components: User interface, UI backend and logic, commend que, data abstraction service and system monitoring. The ambition is to open source some of these components and develop same functionalities in other cloud providers. So, the proposed Workflow Framework could become an industry standard to attract several services and expand this ecosystem.