Geoscience Workflow Tracking by Means of RESQML Standard Format

The paper describes Eni’s implementation of a RESQML database, capable of tracking the models exchanged across different G&G applications along interpretation and modelling workflows, together with all the metadata that will allow the later identification of the right model to be re-used for future work.

The implementation is targeted at sustaining Eni’s vision of a future ecosystem of small geo-apps, each focused on performing at best a small piece of the workflow, and with the possibility of easily composing the apps into a full workflow by exchanging the RESQML models across each other. This vision must be coupled with a powerful model tracking database, capable of identifying which models were used at each step of the workflow. The paper describes the approach used by Eni for such implementation, including the capability of disaggregating RESQML models into the basic data components to avoid duplication or inconsistencies, as well as some examples of the metadata used to correctly label, store and retrieve the RESQML models within the database.