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On new emerging concepts of petroleum digital ecosystem

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Abstract Petroleum‐bearing sedimentary basin is an emerging digital ecosystem. Petroleum system and its elements are narrated for each and every oil and gas field in each and every petroleum‐bearing sedimentary basin. A new concept of ecosystem and its digitization are emerging within the generic petroleum system. The Significance of this concept comes with an ability to establish connectivity among petroleum subsystems, for example, Albertine Graben (Western Uganda), through attributes of their components and their contextualization and specifications. Unless the phenomenon of integration of elements and processes among subbasins in the context of digital representation, visualization, and interpretation are understood, the existence of petroleum system (both at local and global scales) and its survival, the phenomenon of ‘interconnectivity’ among ecosystems cannot be well explained. Its value cannot be added in terms of petroleum accumulations and volumes, unless these phenomena are made explicit. Authors propose ontology‐based data warehousing and data mining technologies in which conceptualization and contextualization of multiple data dimensions' are modeled (elements and processes of petroleum system), besides their integration (within data warehouse environment) and data mining of interpretable emerging petroleum digital ecosystem. Multidimensional data warehousing and mining facilitate an effective interpretation of petroleum ecosystems, minimizing the ambiguities involved during structure and reservoir qualifications and quantifications, especially during reserve computations. © 2012 Wiley Periodicals, Inc. This article is categorized under: Fundamental Concepts of Data and Knowledge > Data Concepts Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Visualization

Entities/dimensions and attributes analyzed for ontology models.

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Data mining views demonstrating interconnectivity among fractured zones and concept of petroleum ecosystems.

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Data mining views extracted from relationships built among production and other spatial data attributes.

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Data mining views extracted from relationships constructed between reservoir and other spatial data attributes of petroleum digital ecosystem warehouse.

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Visualization addressing data issues.

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Multidimensional data views of exploration metadata.

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Visualization of fault and fracture (structure) attributes of petroleum system.

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Calibration, correlation, and integration of multidimensional data.

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An ontology model depicting the connectivity among data instances for mapping and modeling multiple dimensions.

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Knowledge building model.

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Representation of petroleum subsystems data organization of Albertine Graben within a data cube.

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A multidimensional model for depicting the hierarchy of data attributes.

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Temporal data attributes relationships and building an ontology model.

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An integrated framework for warehousing spatiotemporal metadata.

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Various database architectures proposed for organizing and analyzing data structures of Albertine Graben metadata (petroleum digital ecosystem).

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Facts identification process.

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Genetic classification of petroleum system of Albertine Graben, Western Uganda.

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Technologies > Visualization
Fundamental Concepts of Data and Knowledge > Knowledge Representation
Fundamental Concepts of Data and Knowledge > Data Concepts

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