Big Data Guided Unconventional Digital Reservoir Energy Ecosystem and its Knowledge Management
نویسندگان
چکیده
Abstract Background: In shale basins, petroleum systems are complex; they hold data sources in Big Data scales. The motivation of research lies with the facts exploring effective inherent connectivity between unconventional systems. energy reservoir is ambiguous within a distinctive ecosystem. Heterogeneity and multidimensionality unstructured additional challenges, precluding systematic modelling diverse their integration process, including growing demand for storage aims to establish knowledge-based through Information System (IS) articulations, visual analytics management. Method: We investigate IS guided exploration production explore forecast energy. articulate Design Science (DSIS), bring various artefacts, unify multiple domains provinces analyze associativity addition, use, reuse, effectiveness interoperability utility properties artefacts that we evaluate. implement solutions oil gas industries facilitate database management exploration. Results: simulate DSIS as an Unconventional Digital Petroleum Ecosystem (UDPE) it allows us ascertain interplay systems’ elements processes. Metadata cubes computed views visualize, interpret, articulations compute structure attribute interpreting energy-driven systems, prospect evaluation business-knowledge viable solution. Conclusions: emerges digital ecosystem innovation, demonstrating how can effectively interconnect geographically controlled Its development, reservoir-energy This beneficial practitioners who wish pursue contexts.
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ژورنال
عنوان ژورنال: Pacific Asia journal of the Association for Information systems
سال: 2021
ISSN: ['1943-7536', '1943-7544']
DOI: https://doi.org/10.17705/1pais.13101