Reservoir Management Competency Scoring System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hydrocarbon extraction sites face significant errors in reservoir management due to reliance on expert input, which can be biased and prone to errors, leading to inefficient operations and substantial financial losses.
Innovation Solution
A computer system using hardware-based sensors to measure physical and geological characteristics of petroleum reservoirs, establishing an objective reservoir management competency scoring system that generates ratings and controls production units based on objective criteria, providing an interactive user interface for performance indicators and allowing automated control of operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert input is used for reservoir management, then management decisions can be made based on experience and knowledge, but bias and errors are introduced leading to reduced reliability
Solution Approach 1:
The patent replaces the mechanical system of expert human judgment with an automated computer-based system that uses sensors, data processing algorithms, and machine learning models to assess reservoir management competency. This substitution eliminates human bias while maintaining decision-making capability through objective, data-driven evaluations.
Solution Approach 2:
The system enables self-service by allowing the computer system to automatically assess reservoir management competency without requiring external expert intervention. The automated system continuously monitors parameters, evaluates performance against benchmarks, and generates competency scores independently, reducing reliance on human experts while improving consistency and reliability.
2Productivity
If manual expert assessment is used, then flexibility in judgment can be applied, but time consumption and operational efficiency are reduced
Solution Approach 1:
The system performs preliminary action by pre-establishing competency frameworks, performance benchmarks, and evaluation criteria before actual reservoir management operations begin. This preparation enables rapid, automated assessment of management competency as data becomes available, eliminating the time-consuming process of manual expert evaluation while maintaining thoroughness.
Solution Approach 2:
The automated system enables continuous assessment of reservoir management competency by continuously monitoring reservoir parameters and management actions. Unlike manual assessment which occurs periodically, the system provides ongoing, real-time evaluation, significantly improving productivity and reducing the time loss associated with intermittent expert reviews.
3Measurement precision
If objective criteria are implemented, then measurement precision is improved, but device complexity increases due to multiple sensors and systems
Solution Approach 1:
The patent applies universality by designing a multi-functional computer-based system that performs multiple tasks: collecting data from various sensors, processing and analyzing reservoir parameters, evaluating management competency across multiple criteria, comparing performance against benchmarks, and generating comprehensive assessments. This single integrated system handles diverse functions that would otherwise require separate devices, managing complexity while maintaining high measurement precision through objective, standardized measurements.
Data Source
AI summary
Embodiments are directed to methods, systems and user interfaces for assessing reservoir management competency for a petroleum producing field. In one scenario, a computer system measures, using various hardware-based sensors positioned in a petroleum reservoir supplying the petroleum producing field, physical or geological characteristics of the petroleum reservoir. The computer system establishes a reservoir management competency scoring system that evaluates a specific set of objective criteria that reflect a level of reservoir management competency at the petroleum producing field, and automatically generates, according to the objective set of criteria of the reservoir management competency scoring system, a reservoir management rating for the petroleum reservoir based at least in part on data measured by the sensors placed in the petroleum reservoir. Then, based on the generated reservoir management rating, the computer system controls operation of production units configured to direct extraction operations at the petroleum producing field.