| Summary: | In the current upstream business environment, we
examine the risk involved in the petroleum exploration
and field development. Many sedimentary basins
worldwide possess hundreds of petroleum systems with
thousands of oil and gas fields, geographically scattered.
A significant amount of unstructured heterogeneous and
multidimensional data are locked up in many industrial
applications and knowledge domains. Our objective is
to bring the relevant data together, integrate and
visualize for adding values to the existing interpretation.
We simulate a Big Data guided digital petroleum
ecosystem (DPE) approach, a digital oil field solution, a
new direction in the analysis of a total petroleum system
(TPS), in which multiple sedimentary basins may have
been grouped, inheriting an interconnectivity between
the systems. The DPE is articulated in a framework,
organizing variety of data associated with the elements
and processes of complex petroleum systems and
integrating their data dimensions and attributes. We
develop an ontology based data warehousing and mining
artefacts. We present warehoused metadata, with slicing
and dicing of data views for visualization of new
prospects in the investigating area. We further
investigate the risk of exploratory drilling campaigns
and how the integrated framework, with visualization
and interpretation artefacts can holistically support the
delivery of high-quality products and services.
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