Cloud computing offers information technology services such as data storage, network and processing power via the internet. Typical benefits are scalability, flexibility, cost reduction and significant privacy to big data management. Other potential benefits include storage of exploration, drilling and production data, real-time information monitoring and collaboration, remote access to data and services, and timely interpretation of seismic data to maintain the quality of hydrocarbons. However, migrating to a cloud platform involves data management by service providers increasing security concerns, since sensitive data is being rendered to a third party. It is challenging therefore, to create a secure cloud environment without the support of both parties. Other deterrents from storing data on the cloud are legal and regulatory issues, vendor dependency and lock-in. Cloud computing adoption in the upstream oil and gas industry therefore requires high-level guidance to make the right choices. This study has proposed a robust decision support system (DSS) incorporating algorithms and analytical tools to review and promote cloud adoption in the upstream O&G sector. Overall, DSS has a two-way communication system where the user liaises with the knowledge base and database via a user interface to achieve process optimisation.

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Decision Support System to Promote Cloud Computing Adoption in Upstream Oil and Gas Sector

  • Chike F. Oduoza,
  • Mahmud M. Lawan

摘要

Cloud computing offers information technology services such as data storage, network and processing power via the internet. Typical benefits are scalability, flexibility, cost reduction and significant privacy to big data management. Other potential benefits include storage of exploration, drilling and production data, real-time information monitoring and collaboration, remote access to data and services, and timely interpretation of seismic data to maintain the quality of hydrocarbons. However, migrating to a cloud platform involves data management by service providers increasing security concerns, since sensitive data is being rendered to a third party. It is challenging therefore, to create a secure cloud environment without the support of both parties. Other deterrents from storing data on the cloud are legal and regulatory issues, vendor dependency and lock-in. Cloud computing adoption in the upstream oil and gas industry therefore requires high-level guidance to make the right choices. This study has proposed a robust decision support system (DSS) incorporating algorithms and analytical tools to review and promote cloud adoption in the upstream O&G sector. Overall, DSS has a two-way communication system where the user liaises with the knowledge base and database via a user interface to achieve process optimisation.