Context Data Engine for Oilfield Search Relevance
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Solution Overview
Problem
Current oilfield operations face challenges in effectively searching and utilizing both structured and unstructured data, leading to information overload and impractical retrieval of relevant information, with limited access to unstructured data and inefficient search results that do not align with the domain and workflow of the energy industry.
Innovation Solution
A method and system that extracts context information from host applications associated with oilfield projects, sorts it into relevant dimensions, generates search profiles, performs searches, and adjusts operations based on the search results, using a context data engine and appliances to provide relevant data items for optimizing oilfield operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If comprehensive data collection from multiple sources is performed, then data completeness is improved, but information overload and search efficiency deteriorate
Solution Approach 1:
The patent segments data into multiple dimensions (spatial, temporal, project, user, workflow) and creates separate search profiles for each dimension. This segmentation allows the system to manage comprehensive data without overwhelming users, as searches can be focused on specific dimensions rather than searching through all data simultaneously.
Solution Approach 2:
The patent introduces a context data engine as an intermediary between raw data and users. This engine extracts context information, sorts it into dimensions, generates search profiles, and retrieves relevant data items. The intermediary processes and filters data before presentation, preventing information overload while maintaining data completeness.
2Measurement precision
If domain-specific search capabilities are implemented, then search relevance is improved, but system complexity increases
Solution Approach 1:
The context data engine serves multiple functions: extracting context information, sorting data into dimensions, generating search profiles, and retrieving data items. This multi-functional approach consolidates complexity into a single universal component rather than requiring separate complex systems for each function.
Solution Approach 2:
The patent adds dimensional organization (spatial, temporal, project, user, workflow dimensions) as another layer of data organization. This dimensional approach simplifies search by providing structured frameworks rather than requiring complex search algorithms to handle unstructured data relationships.
3Measurement precision
If context information extraction and sorting is performed, then data retrieval relevance is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-extracting context information and pre-sorting data into dimensional categories. Search profiles are generated in advance based on these pre-processed dimensions, so when searches are executed, the system can quickly retrieve relevant data without performing extensive real-time processing.
Data Source
AI summary
The invention relates to a method of performing an oilfield operation. The method steps include extracting context information from a host application associated with an oilfield project, sorting the context information into a plurality of dimensions of relevance, generating at least one search profile for each of the plurality of dimensions of relevance, requesting a plurality of searches using the at least one search profile, receiving one or more oilfield data items resulting from the plurality of searches, and selectively adjusting the oilfield operation based on one or more oilfield data items.