Real-Time Well Surveillance Data Integration
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Solution Overview
Problem
The oil and gas industry faces challenges in real-time data integration and analysis across multiple locations, hindering cross-correlation and timely decision-making due to data organization and security concerns, especially during the drilling and completion stages of oil well operations.
Innovation Solution
A computer-based system that integrates real-time and non-real-time data inputs to facilitate real-time displays of well performance, including hydraulic surveillance and torque-and-drag analysis, using a network of servers and communication links to provide immediate feedback and prevent drilling hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If real-time data integration and analysis are implemented across multiple locations, then decision-making speed and hazard prevention capability are improved, but data organization complexity and security management difficulty increase
Solution Approach 1:
The system segments data organization into standardized categories (well identification, drilling parameters, operational status, hazard indicators) that can be independently managed and processed. This segmentation allows multiple locations to access and analyze specific data types without overwhelming complexity, enabling real-time decision-making while maintaining manageable data structures.
Solution Approach 2:
The patent introduces a centralized data integration platform that acts as an intermediary between multiple remote locations and the well site. This intermediary consolidates data from various sources, standardizes formats, and distributes processed information to authorized users across locations, reducing the complexity each individual location would otherwise face while enabling real-time access.
2Reliability
If real-time data integration and analysis are implemented across multiple locations, then cross-correlation capability and hazard prevention are improved, but data security management difficulty increases
Solution Approach 1:
The system implements location-specific access permissions and data visibility settings, where each remote location receives only the data relevant to its function and security clearance level. This local quality approach maintains security while enabling real-time cross-correlation analysis, as each location processes and displays customized data subsets rather than requiring centralized security management for all data streams.
Solution Approach 2:
The centralized platform serves as a security intermediary that enforces access controls, authentication, and data protection protocols before distributing information to remote locations. This intermediary layer handles security management centrally, reducing the burden on individual locations while maintaining reliable hazard prevention capabilities through controlled real-time data access.
3Measurement precision
If comprehensive real-time monitoring is implemented, then drilling hazard detection capability is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts and prioritizes specific hazard-related parameters (such as torque anomalies, drag indicators, pressure deviations) from the comprehensive data stream, focusing processing power on critical measurements rather than analyzing all available data equally. This extraction approach improves hazard detection precision by concentrating on key indicators while reducing overall system complexity through selective data processing.
Solution Approach 2:
The system performs preliminary data filtering, validation, and anomaly detection at the data source before transmission to remote locations. This preliminary action reduces the complexity of real-time processing at distant sites by pre-processing data and transmitting only relevant information, while maintaining high hazard detection precision through early identification of potential issues.
Data Source
AI summary
In an embodiment, a method is performed by a computer system. The method includes integrating a series of data inputs related to a well. The series of data inputs includes at least one real-time data input and at least one non-real-time data input. The method further includes based, at least in part, on a result of the integrating, facilitating a real-time display of performance data for the well. The real-time display includes information related to at least one of hydraulic surveillance and torque-and-drag surveillance.