Graphing Database for Oil and Gas Data Standardization
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Solution Overview
Problem
In the oil and gas industry, inconsistent or inaccessible data leads to production inefficiencies, and the increasing volume of data makes it difficult for enterprises to derive meaningful insights, complicating the delivery of valuable information to clients.
Innovation Solution
A graphing database system that processes exploration and production data by generating digital entities using entity mapping rules, assigning completeness scores, and creating graphing structures with nodes and edges to represent relationships between data sources, ensuring data is standardized and accessible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from a variety of sources to provide comprehensive insights, then the quantity and diversity of data increases, but data consistency and accessibility deteriorate
Solution Approach 1:
The patent introduces an entity mapping engine as an intermediary component that receives data from multiple sources and transforms it into standardized digital entities. This engine applies mapping rules to ensure consistency while handling diverse data inputs, effectively mediating between data quantity and reliability requirements.
Solution Approach 2:
The system changes the parameters of data representation by transforming raw data into standardized entities with consistent attributes. Mapping rules define specific parameter transformations that ensure data from different sources conform to a unified schema, maintaining reliability while accommodating large volumes of diverse data.
2Adaptability or versatility
If data from multiple sources is integrated to provide comprehensive insights, then the diversity of data sources increases, but the complexity of data processing increases
Solution Approach 1:
The entity mapping engine is designed as a universal processing component that handles multiple data sources through a single standardized interface. It applies the same mapping rules framework to diverse inputs, reducing processing complexity while maintaining adaptability to various data sources.
Solution Approach 2:
The patent segments the data processing task into distinct components: data reception, entity identification, attribute mapping, and completeness verification. This segmentation allows each component to handle specific aspects of diverse data sources independently, reducing overall processing complexity.
3Manufacturing precision
If strict mapping rules are applied to ensure data completeness, then data quality improves, but the time required for data processing increases
Solution Approach 1:
The system applies partial action by verifying mapping rules incrementally rather than requiring complete validation of all attributes simultaneously. The completeness score mechanism allows processing to proceed with partial data while continuing to verify remaining attributes, improving data quality without proportionally increasing processing time.
Solution Approach 2:
The patent performs preliminary actions by pre-defining mapping rules and entity schemas before data processing begins. This preliminary setup enables faster runtime verification since the validation criteria are already established, reducing the time penalty associated with strict quality checks.
Data Source
AI summary
Methods, apparatus, systems, and computer-readable media are set forth for providing a graphing database for exploration and/or production data, e.g., as used in the oil & gas industry. The graphing database can include multiple different entities that are defined by nodes, node edges, and properties that are generated from information collected by an exploration and/or production system. Entities can be designated as complete when the attribute data associated with those entities satisfy mapping rules for standardizing different types of entities. In this way, end users that access data from the graphing database can receive complete data that is consistently available through a variety of sources.