Discovery and Assessment of Existing Structural Interpretations for Seismic Analysis

The energy industry faces a critical challenge in discovering and reusing existing seismic interpretations across siloed data stores, resulting in duplicated efforts, inconsistent subsurface models, and delayed decision-making across the seismic-to-simulation workflow. This challenge is compounded by the proliferation of multiple versions of the same interpretation, often created independently across projects or teams, making it difficult to identify the most reliable or up-to-date version. This lack of documented activity context and version clarity drives unnecessary reinterpretation work or use of untrusted interpreted data, impacting downstream reservoir modeling and simulation activities.

Addressing these challenges requires combining cloud scalability with subsurface domain expertise to deliver trusted, context-rich seismic interpretation workflows that operate seamlessly across heterogeneous, multi-vendor environments. By leveraging OSDU’s activity model as a core governance mechanism, interpreters can assess existing work more efficiently, understanding not just data provenance but the complete workflow context—methodologies, quality controls, and validation approaches—that determines whether interpretations are fit-for-purpose. This approach enables operators to leverage an array of tools and workflows without losing critical workflow context and traceability, ultimately accelerating field development decisions across interpretation, modeling, and simulation teams.