Gas Storage Monitoring With Surface–Subterranean Data Fusion
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Solution Overview
Problem
Existing gas storage monitoring systems fail to accurately integrate surface and subterranean data, leading to significant errors in reservoir characterization and safety breaches due to disjointed analysis of field conditions during injection and re-production phases.
Innovation Solution
Implementing gas storage models that correlate surface and subterranean data from probes within wells to monitor hydrocarbon reservoirs, using machine learning models for real-time updates and safety protocols, optimizing reservoir management plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If surface data and subterranean data are analyzed disjointedly, then data processing complexity is reduced, but reservoir characterization accuracy deteriorates
Solution Approach 1:
The patent integrates surface data and subterranean data into a unified analysis framework. The system combines data from multiple sources including surface seismic data, well log data, and production data to create a comprehensive reservoir model, thereby improving characterization accuracy while managing complexity through systematic integration.
Solution Approach 2:
The patent introduces a unified reservoir model as an intermediary that connects and correlates surface and subterranean data. This model serves as a mediator that synthesizes disparate data types, allowing for accurate reservoir characterization without requiring direct complex integration of all raw data streams.
2Productivity
If real-time monitoring of gas storage is implemented, then reservoir management responsiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements real-time monitoring systems that continuously collect data from probes and sensors throughout the reservoir. This feedback mechanism provides ongoing information about pressure, temperature, and fluid movement, enabling dynamic adjustment of injection and production strategies to optimize reservoir management.
Solution Approach 2:
The patent employs multi-functional monitoring systems that can simultaneously track multiple parameters (pressure, temperature, fluid composition) using integrated sensor networks. This universal approach allows the system to perform multiple monitoring functions through a single coordinated infrastructure, reducing overall system complexity.
3Quantity of substance
If injection rates are increased to enhance gas storage, then storage capacity is improved, but pressure changes and stability risks increase
Solution Approach 1:
The patent employs dynamic injection rate adjustment based on real-time reservoir conditions. The system continuously monitors pressure changes and reservoir response, automatically modulating injection rates to optimize storage capacity while maintaining pressure within safe operational limits, thereby preventing instability.
Solution Approach 2:
The patent utilizes parameter changes in injection strategies, varying injection pressure, rate, and timing based on reservoir characteristics and real-time monitoring data. This allows optimization of gas storage capacity while maintaining reservoir stability by adapting injection parameters to match changing reservoir conditions.
Data Source
AI summary
Methods, systems, and computer-readable storage media for receiving, from probes, probe data indicative of gas storage, the probe data being collected by probes included in operating wells and observation wells within a field, the probe data comprising surface data and subterranean data indicative of a health of a gas storage reservoir within the field. A gas storage status is determined by using a gas storage model, the gas storage model correlating the surface data and the subterranean data within the field. A gas storage assessment report including a pressure map reflecting the gas storage status within the field is provided.