Oilfield Service Selector Using Standardized Data Structures
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Solution Overview
Problem
Current oilfield service management systems lack the ability to efficiently analyze and recommend optimal services based on real-time data from oilfield operations, leading to suboptimal resource allocation and increased costs.
Innovation Solution
A method and system that utilize a database of individual data structures to analyze information associated with oilfield services, recommending additional services by processing data through a processor-executable framework, enabling real-time decision-making and optimizing service operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional oilfield service management systems are used, then system simplicity is maintained, but operational efficiency and service optimization capability deteriorate
Solution Approach 1:
The system segments oilfield services into distinct data structures with standardized attributes, allowing individual service components to be analyzed and recommended independently. This segmentation enables the complex system to process specific service types (drilling, completion, production, etc.) separately while maintaining overall system manageability.
Solution Approach 2:
The patent introduces an intermediary recommendation system that acts as a mediator between raw service data and decision-making processes. This intermediary layer processes information through standardized data structures and algorithms, transforming unstructured service information into actionable recommendations without requiring direct complex interactions between all system components.
2Measurement precision
If real-time data analysis is implemented, then service recommendation accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining standardized data structures and service attributes before actual service execution. By establishing the framework of what data to collect and how to structure it in advance, the system enables faster real-time processing without sacrificing analysis depth or recommendation accuracy.
Solution Approach 2:
The patent changes parameters by transforming raw service data into standardized formats with specific attributes and weights. This parameter transformation allows the system to process diverse service types uniformly, improving processing speed while maintaining the precision needed for accurate recommendations through consistent data representation.
3Productivity
If comprehensive service data is collected, then resource allocation optimization is improved, but information management complexity increases
Solution Approach 1:
The system implements universality by creating a multi-functional standardized data structure that can accommodate various oilfield service types (drilling, completion, production, workover, etc.) within a single framework. This universal structure reduces management complexity by providing consistent attributes and formats across all service types while enabling comprehensive data collection for optimized resource allocation.
Solution Approach 2:
The patent uses copying by creating standardized templates and data structure models that can be replicated across different service types and operations. Instead of managing unique complex data schemas for each service, the system copies and adapts the standardized structure, simplifying information management while maintaining comprehensive data collection capabilities.
Data Source
AI summary
A method can include receiving information associated with an oilfield service; analyzing at least a portion of the information based at least in part on an oilfield services database that includes individual data structures that characterize individual oilfield services; and, based at least in part on the analyzing, outputting at least one additional oilfield service as a recommended oilfield service.