Well Operation Task Management Interface
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Solution Overview
Problem
Coordinating tasks for well operations is difficult and time-consuming, often resulting in inaccurate timing and resource allocation, leading to unnecessary downtimes and inefficiencies.
Innovation Solution
A system that obtains and characterizes well operation parameters, determines tasks and their sequence based on these parameters, and presents a graphical user interface for visualization and user modification, allowing real-time updates and adjustments to optimize task scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual coordination of well operation tasks is used, then flexibility in task adjustment is maintained, but task coordination becomes difficult and time-consuming with inaccurate timing
Solution Approach 1:
The patent replaces manual mechanical coordination with an automated computer-based system that uses algorithms to determine task sequences and timing. The system automatically processes well operation data, determines optimal task sequences, and provides recommendations without manual intervention, thereby improving timing accuracy while reducing coordination time.
Solution Approach 2:
The system enables self-service by automatically determining task sequences and timing based on input data about well operations. The computer system autonomously analyzes operational parameters, forecasts task requirements, and generates scheduling recommendations without requiring manual coordination efforts.
2Measurement precision
If detailed tracking of well operation parameters is implemented, then task scheduling accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional computer system that handles multiple tasks: collecting operational data, analyzing parameters, determining task sequences, forecasting timing, and generating recommendations. This universal system consolidates multiple functions into a single platform, improving measurement accuracy while managing complexity through integration rather than proliferation of separate systems.
3Productivity
If automated task sequencing is implemented, then productivity is improved through efficient scheduling, but adaptability to user modifications is reduced
Solution Approach 1:
The system incorporates feedback mechanisms where automated sequencing recommendations are presented to users for review and modification. Users can provide feedback by adjusting task sequences or parameters, and the system processes these modifications to generate updated recommendations, thereby maintaining both automated efficiency and user adaptability.
Data Source
AI summary
Based on demand signals from multiple sources, the timing and amount of well tasks, such as material delivery, drilling, and/or waste removal, may be predicted. The well tasks may be organized as card elements on a graphical user interface, with the card elements being arranged based on the sequence in which the well tasks are scheduled. The sequence of the well tasks and the arrangement of the card elements on the graphical user interface may be updated automatically based on real-time data.