Geo-ontologies and Their Role in Integrating Big Spatiotemporal Data and Knowledge Management

Managing Exploration and Production (E&P) data and establishing the connectivity between Geology and Geophysics (G&G) domains are vital in the upstream petroleum businesses. These challenges can affect the data integration during the interactive interpretation of exploration data. In addition, the E&P data are big in size and scale; new file storage systems are needed. Exploring the basin ecosystem and managing knowledge through holistic data modeling studies are innovative research strategies. A single data anomaly attributed to seismic data can yield ambiguous results. To establish the G&G connectivity, we explore geo-ontologies to motivate data modeling methodologies with a case study in the Nile Delta basin ecosystem. Data mining and interpretation artifacts are added solutions to discern data patterns and unlock latent geological knowledge. We have proposed an integrated digital petroleum ecosystem framework, collaborating with various multidimensional data schemas built from multiple domains of upstream exploration businesses. The new integrated framework can facilitate the E&P entities and accrete new prospect volumes with drillable assets, minimizing the exploration and field development risks.