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CIC seminar March II

Date: March 23, 2017

Time: 12.30 - 2.00pm

Location: Graduate School of Business, Function Room, Ground Floor, 78 Murray Street, Perth

Speaker: Dr Shastri Nimmagadda

Title: On Big Data Guided Digital Ecosystems and Technologies (DEST) and their Knowledge Management

RSVP: Please register via Eventbrite at this link by COB Thursday 16 March, 2017

 

Abstract:

In many industries, the data sources are largely heterogeneous and multidimensional. They are characterized by multiple volumes and varieties. As an example, oil and gas upstream has such Big Data volumes and varieties in multiple domains. By virtue of varying geographies and complex topographies, petroleum data sources in multiple domains have periodic and geographic dimensions. In addition, business rules in these industries change quickly because of fast changing business, geologic and geophysical scenarios. To demonstrate Big Data concepts in the resource business, various petroleum systems are considered from petroleum provinces. For sustainable business and diverse operations in these regions, as a part of digital ecosystems and technologies (DEST) approach, design and development of petroleum management information system (PMIS) and digital petroleum ecosystem (DPE) are articulated, simulating a robust and holistic integrated framework. Big Data tools and technologies that drive this framework offer modelling and integrated solutions with improved understanding of systems’ connectivity. Other artefacts in the framework are data mining, visualization, data analysis and interpretation that add values to DPE and its associated projects. New knowledge is obtained on petroleum exploration & production (E&P) to make future forecast of resources in the hugely spread petroleum provinces.

The purpose of this seminar is to explore for new Big Data opportunities in the oil & gas upstream businesses. The Big Data hype motivate us to develop a design science information system (DSIS), which is articulated by an integrated framework. This framework caters the data modelling, data warehousing and mining artefacts using volumes and varieties of data sources, associated with petroleum systems of large-scale sedimentary basins. The real hype of Big Data depends on the size and type of basin or groups of basins, petroleum systems and oil & gas fields described in such hierarchies. Data sources of elements and processes of petroleum systems that describe structural, stratigraphic and strati-structural events need a robust and holistic ontology based heterogeneous and multidimensional data warehouse repository with constructs’ modelling, data mining, and visualization and interpretation artefacts. Big data tools facilitate the generalized conceptualization, from global scale to specialization, local scale events as simulated in digital ecosystems’ scenarios. Big data has power of connecting various ecosystems of sedimentary basins. The DPE approach is a digital oil field solution in various application development domains such as conventional and unconventional petroleum systems, carbon emission ecosystems and even for turbulent resources management.

 

Bio:

Dr Shastri Nimmagadda is a Certified Petroleum Geophysicist. With dual qualifications in Information Systems and Petroleum Geophysics, Dr Nimmagadda has extensive experience in upstream oil and gas; seismic data processing, interpretation and knowledge management; including data analysis and modelling skills.