Abstract

Abstract This paper describes a novel web portal, which has been created for the North Sea area to meet the need for a knowledge base of reservoir and engineering data targeted towards exploration and production professionals to assist them in evaluating prospects and projects, assessing development risks, and measuring prospects against other opportunities in their company portfolios. Operators in the deepwater Gulf of Mexico have found a similar service an invaluable resource when researching analog fields, as reservoir assessment and benchmarking are at the heart of good appraisal, sanction and development decisions. Through utilizing analogous data, decision makers can evaluate assumed data based on its statistical place in similar fields and geological regions. When analytics are performed in this manner, uncertainty risk can be reduced. The North Sea knowledge base features innovative applications, including a GIS interface and a set of analytical tools, and is maintained and supported by a team of engineers and geologists who provide analysis, case studies, and statistics on key data and fields. Directed towards exploration, appraisal and development teams in the North Sea area, the knowledge base contains coverage of all productive sands discovered, reservoirs either currently in production or sanctioned for development. The service provides regularly updated reservoir metrics and analogs, and offers a unique combination of reservoir engineering, geological, production, facilities and economic data analysis, together with regional knowledge. Users may also leverage the public domain information and analysis in the knowledge base by deploying secure servers in-house to store, manage, and compare proprietary data with the data and data analysis stream provided. This model leverages internal security systems to keep client data safe, while providing their engineering, geologic, and other subsurface technical staff with a single stop for current asset status, up-to date analogs, play and regional data, and both internal and external best practices, case studies, and literature, etc. With an extendable data model to manage structured and unstructured data, this solution provides a framework to ensure that exploration and asset teams can access all data of immediate interest, and also highlights other key knowledge related to specific prospect, appraisal and or development evaluation needs.

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