Data Integration Methodologies for Effective Management and Data Mining of Petroleum Systems of south east Asian Basins

Abstract

Exploration (including seismic) data exhibit a high degree of heterogeneity, sequence identity, structural similarity, especially a similarity in elements and processes that are unique to petroleum systems of South East Asia. Existing approaches have limitations in capturing and integrating petroleum data. An alternative method uses ontologies and does not rely on keywords or similarity metrics. Conceptual framework of Petroleum Ontology is to promote reuse of concepts and a set of algebraic operators for querying petroleum ontology instances. This ontology-base fine grained multidimensional data structuring adapts to warehouse metadata modeling. Data integration process facilitated to metadata models, which are deduced for Indonesian sedimentary basins, is useful for data mining and subsequent data interpretation including geological knowledge mapping purposes.