On Geo-informatics Ecosystem Framework for Energy Resources Management in the Frontier Sedimentary Basins

Abstract

Data heterogeneity and multidimensionality are major challenges when dealing with the integration of exploration data sources in the frontier basins. We took advantage of the fact that the geology and geophysics (G & G) do not have boundaries either with the continents or their associated countries. Frontier basins may have generated enormous digital-data on geological structures and reservoirs in areas where the continents and their tectonic plates drifted. The digital data are indeed in Big Data scale, characterized by volumes and varieties in spatial dimensions that may have emerged in the form of conceptualization and contextualization attributes. The frontier basin research thus needs knowledge-based ecosystems, with entities, dimensions and their logical data models interpreted in geo-informatics focus. An integrated framework is proposed, generating a multidimensional metadata structure for meta-knowledge. The meta-knowledge derivable from metadata models can immensely be useful in interpreting the connectivity between G & G events and assessing the hydrocarbon potential of frontier basins. The metadata models are made so flexible as to be extended and implemented in worldwide super basins.