Wellbore Equipment Control Using Real-Time Distributed Decisions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing well system control technologies rely on incomplete and inaccurate representations of the well system and reservoir, as they operate in isolation without real-time updates from ongoing operations, leading to suboptimal equipment performance.
Innovation Solution
A distributed decision framework using physics-based processing principles to generate and update equipment control parameter values in real-time, incorporating initial geological and geographical attributes, real-time data, and confirmation from various sources during wellbore operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software tools operate using isolated algorithmic processes, then equipment control settings can be generated, but the control accuracy and equipment efficiency deteriorate due to incomplete and inaccurate representations of the well system and reservoir
Solution Approach 1:
The patent combines multiple isolated algorithmic processes into a single integrated system that simultaneously considers geological data, reservoir data, real-time operational data, and equipment data. This merging allows the system to generate equipment control settings based on a comprehensive and accurate representation of the well system and reservoir, thereby improving both measurement precision and equipment efficiency.
Solution Approach 2:
The system implements continuous feedback loops where real-time operational data and equipment data are fed back into the integrated algorithmic processes. This feedback mechanism allows the system to continuously update and refine its representation of the well system and reservoir, maintaining high measurement precision while optimizing equipment control settings for maximum efficiency.
2Adaptability or versatility
If software tools generate control settings based on initial attributes only, then the control process can be initiated, but the adaptability and performance deteriorate due to failure to receive updates from ongoing operations
Solution Approach 1:
The patent establishes continuous data collection and processing operations that run throughout the wellbore operation. The integrated algorithmic processes continuously receive and process real-time operational data and equipment data, ensuring that control settings are continuously adapted to current conditions. This continuous action eliminates gaps in adaptability while maintaining rapid response times through automated real-time processing.
Solution Approach 2:
The system transitions from static control settings based on initial attributes to dynamic control settings that automatically adjust in real-time. The integrated algorithmic processes continuously modify equipment control settings based on current operational conditions, providing the adaptability needed for changing wellbore conditions while maintaining rapid response through automated dynamic adjustment.
3Device complexity
If algorithmic processes operate in isolation from other processes, then the system complexity can be reduced, but the control quality deteriorates due to incomplete representations of the wellbore operation
Solution Approach 1:
The patent segments the complex control system into distinct functional modules: data collection modules for real-time operational data and equipment data, an integrated processing module that combines multiple algorithmic processes, and a control settings generation module. This segmentation allows the system to manage complexity through modular architecture while maintaining high control reliability through the comprehensive integration of multiple data sources and processing algorithms.
Data Source
AI summary
Aspects of the present disclosure relate to projecting control parameters of equipment associated with forming a wellbore, stimulating the wellbore, or producing fluid from the wellbore. A system includes the equipment and a computing device. The computing device is operable to project a control parameter value of the equipment using an equipment control process, and to receive confirmation that the projected control parameter value is within an allowable operating range. The computing device is also operable to adjust the equipment control process based on the confirmation, and to control the equipment to operate at the projected control parameter value. Further, the computing device is operable to receive real-time data associated with the forming of the wellbore, the stimulating of the wellbore, or the producing fluid from the wellbore. Furthermore, the computing device is operable to adjust the equipment control process based on the real-time data.