Data Context Service for Oilfield Search Relevance

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Solution Overview

Problem

Oilfield operations face challenges in effectively utilizing both structured and unstructured data due to irrelevant search results from existing tools, leading to inefficient decision-making and operational adjustments.

Innovation Solution

A data context service method that extracts context information from oilfield projects, sorts it into relevant dimensions, generates search profiles, and provides quality-measured search results to enhance data relevance and usability within oilfield software applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If common search tools (web content search engines or EDMS) are used to search unstructured data, then search coverage is improved, but search result relevance deteriorates because the taxonomy is not relevant to the energy industry domain and workflow

Engineering Contradiction:
Improvesearch coverageVSAvoidsearch result relevance
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies local quality by implementing domain-specific taxonomies and search algorithms tailored to the energy industry. Instead of using a generic search taxonomy, the system creates specialized taxonomies that reflect energy industry terminology, workflows, and data structures, thereby improving search result relevance while maintaining broad search coverage

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the parameters of the search system by introducing industry-specific metadata schemas, classification systems, and weighting algorithms that prioritize energy-relevant factors. This transforms the search mechanism from a general-purpose tool to a domain-optimized system that delivers both comprehensive coverage and high relevance

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If a large number of variables and large quantities of data are used to analyze oilfield operations, then analysis completeness is improved, but decision-making efficiency deteriorates

Engineering Contradiction:
Improveanalysis completenessVSAvoiddecision-making efficiency
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent extracts and separates critical decision-making variables from the large dataset through hierarchical data organization. It identifies and extracts the most influential variables affecting oilfield operations, presenting them prominently while maintaining access to the complete dataset, thus enabling both comprehensive analysis and efficient decision-making

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the large volume of oilfield data into organized categories and hierarchical structures (e.g., geological data, operational data, equipment data). This segmentation allows analysts to navigate and analyze data systematically, reducing the time required to process complete information while maintaining analysis completeness

Inventive Principle:
Principle #1Segmentation

3Device complexity

If more than sixty percent of unstructured data are not managed or used, then data management complexity is reduced, but information utilization deteriorates

Engineering Contradiction:
Improvedata management complexityVSAvoidinformation utilization
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The patent implements a universal data management framework that handles both structured and unstructured data through common processes and interfaces. This multi-functional system can ingest, store, index, and retrieve various data types (documents, reports, emails, databases) using unified taxonomies and search mechanisms, increasing information utilization without proportionally increasing management complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS8156131B2Quality measure for a data context service
Publication Date: 2012.04.10 SCHLUMBERGER TECH CORP
  • US8156131B2 patent drawing
  • US8156131B2 patent drawing
  • US8156131B2 patent drawing

AI summary

The method for providing a data context service involves extracting context information from a host application associated with an oilfield project, the context information includes a current state of a user in the host application, sorting the context information into multiple dimensions of relevance, generating a search profile for each of the multiple dimensions of relevance, requesting a first set of searches using at least the search profile, receiving oilfield data items resulting from the first set of searches, obtaining a quality measure of an oilfield data item of the oilfield data items based on a pre-determined quality criterion, sending the oilfield data item as a search result to the host application after determining the quality measure exceeds a pre-determined threshold, and generating an output using the host application based on the search result, the output being used to perform an oilfield operation.