The Flare Catalog is the backbone of Flare’s search system allowing many sources of distributed information and data assets to be searched at once.
The Catalog uses common metadata and valid values from the Flare Taxonomies to describe each information item, whether that item is a document held within a document repository, a database view in an application, or a physical item such as a core sample held in a storage facility.
Designed for the Energy industry
Industry surveys indicate that people spend as much as 40% of their time looking for information and are often frustrated by the experience when using generic search tools. Flare’s search approach has been designed to make searching faster, easier and more productive.
By providing a single place to search based on common taxonomies and a rich set of valid values the Catalog supports the way that E&P professionals want to interact with their information. The goal is to provide a Google-like search experience.
As E&P companies and service organisations adapt to the emerging information-centric business environment, it is essential to optimise the way that intellectual capital is managed. The Catalog provides organisations with a unique, effective way to develop, preserve and exploit these critical business assets.
- Fast and easy to use – no need to search multiple times across different sources
- Greater recall – find all available information, internal or external, with a single query
- Flexible precision – search as precisely or as broadly as needed
- Ranked results – view the most relevant items first
- Provides a step-change in efficiency by reducing the time users spend looking for and collating information
- Reduces risk by leveraging organisational knowledge
- Manages corporate compliance and regulatory obligations
- Improves cross-team, departmental and geographical sharing of information
- Exploits the intellectual capital of the whole organisation Incorporates robust, industry-specific taxonomies that reflects the way the E&P business works
- Provides links between the metadata model and underlying repositories without modifying source systems
- Delivers rapid augmentation of functionality across existing repositories (e.g. Document Management and Data Systems), while minimising expensive customisation and set up
- Deploys a security system which integrates with the existing set-up. It allows separately controlled access to metadata and information content as well as contextual entitlements
- Extensive recall (e.g. understands Jurassic is a period within the Mesozoic, Bathonian is a stage of Middle Jurassic)
- Precision (e.g. understands the difference between ‘Tertiary’ referring to a geologic period and tertiary recovery as a production process)
- Result ranking (e.g. understands ‘play map’ is a common industry term, and ranks documents specifically categorized as play maps higher than documents that include those individual terms within the title or text)
- Automatically generates industry search refiners following a search (e.g. results from a search for ‘core analysis in Greenland’ can be further refined by selecting from a list of relevant basins, fields and wells)
- Secondary search capability allows tight searches to be easily expanded and ancillary information to be identified. (e.g. relevant conference proceedings or lessons learned from a previous project)
- Accepts incorrect spellings and typos (e.g. Baken, Baaken, Bakken), aliases (e.g. Well log, Wireline log, Downhole log) and format variations (e.g. well 121-3, 121_3, 121/3)
- The saved-search feature allows common queries to be saved and repeated (e.g. daily drilling reports for wells, 121-3, 121-4 & 121-5). Saved queries can be shared with colleagues or used to create a personal pseudo folder structure