Blowout Preventer Soak Testing via Real-Time Data Analytics
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Solution Overview
Problem
Operating entities lack the resources and time to monitor equipment data effectively for real-time decision-making, particularly in enabling soak testing of blowout preventers, necessitating systems and methods for remote equipment monitoring and data analytics.
Innovation Solution
A real-time operations center and data analytics kiosk system that receives and analyzes operational data from equipment in real-time, performing analytics related to blowout preventer soak testing and providing graphical user interfaces to display results, utilizing processors and memory to execute instructions for remote data collection and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operating entities monitor equipment data in real-time using their own resources, then decision-making quality improves, but resource consumption and time requirements increase
Solution Approach 1:
The patent introduces a specialized monitoring system with dedicated hardware (sensors, processors, communication modules) and software infrastructure that acts as an intermediary between the blowout preventer and operating entities. This intermediary handles all data collection, processing, and analysis tasks, allowing operating entities to access processed information without directly investing in monitoring infrastructure.
2Reliability
If operating entities conduct comprehensive equipment monitoring, then operational safety improves, but time requirements increase
Solution Approach 1:
The system continuously collects and pre-processes equipment data in real-time, maintaining an updated readiness state before any actual monitoring or analysis is needed. Historical data is stored and pre-analyzed, so when operating entities need information, it is already prepared and available immediately, eliminating the time required for ad-hoc data collection and processing.
Solution Approach 2:
The system implements continuous real-time monitoring with automatic feedback loops that constantly assess blowout preventer status, pressure levels, and operational parameters. This ongoing feedback mechanism ensures safety conditions are maintained without requiring periodic manual checks or time-consuming analysis cycles, as the system self-monitors and alerts operators immediately when thresholds are breached.
3Measurement precision
If specialized data analytics infrastructure is implemented, then soak testing capability improves, but device complexity increases
Solution Approach 1:
The monitoring system is divided into distinct functional modules: sensor modules for data collection, processing modules for analysis, communication modules for data transmission, and storage modules for historical records. Each module performs a specific function independently, allowing the complex soak testing capability to be built from simpler, well-defined components that can be maintained and upgraded separately.
Data Source
AI summary
Systems and methods presented herein enable blowout preventer soak testing. In particular, the systems and methods presented herein are configured to receive operational data in substantially real-time from equipment that is located at a worksite and that is being monitored by the real-time operations center and/or by one or more auxiliary devices in proximity of the equipment, to perform data analytics remotely on the operational data during operation of the equipment, wherein the data analytics relate to soak testing of a blowout preventer, and to provide one or more graphical user interfaces to one or more computing devices, wherein the one or more graphical user interfaces illustrate results of the soak testing.