Drill Plan Deviation Analysis for Unplanned Event Interpretation
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Solution Overview
Problem
Drilling operations often deviate from planned well plans due to unexpected events, and there is a lack of effective communication and data capture to integrate experiential data for improving future drill plans.
Innovation Solution
A method and system for obtaining and analyzing drilling data to identify unplanned events causing deviations, calculating their impact, and modifying the drill plan to account for these events, utilizing AI for root cause analysis and visualization tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data transfer and processing methods are used, then communication between well engineers and operation engineers can be established, but the process is time-consuming and inefficient, leading to loss of time and reduced productivity
Solution Approach 1:
The patent replaces manual data transfer mechanisms with an automated electronic system that directly connects drilling operation software with well planning software. This substitution eliminates the mechanical process of manual copying and pasting of data, enabling real-time automated synchronization between actual drilling data and planned well parameters, thereby resolving the time loss while maintaining communication reliability
Solution Approach 2:
The patent introduces an intermediary automated data transfer system that acts as a bridge between drilling operations and well planning departments. This intermediary automatically extracts, transmits, and integrates data between systems, eliminating the need for manual intervention while ensuring accurate and timely communication, thus resolving the contradiction between communication effectiveness and time efficiency
2Loss of information
If manual data processing is used, then data can be transferred between departments, but the complexity of manual operations increases and productivity decreases
Solution Approach 1:
The patent implements a self-service automated system where the software automatically performs data extraction, transmission, comparison, and integration tasks without requiring manual operations. The system self-manages the entire data flow from drilling operations to well planning modifications, eliminating manual complexity while ensuring data accuracy through automated validation processes
Solution Approach 2:
The patent establishes a feedback loop where actual drilling data automatically flows back to the well planning system for real-time comparison with planned parameters. This automated feedback mechanism enables continuous refinement of well plans based on actual performance, improving productivity by eliminating manual analysis while maintaining high data accuracy through systematic validation
3Productivity
If automated deviation analysis is implemented, then productivity and accuracy are improved, but the device complexity increases due to integration of multiple software systems
Solution Approach 1:
The patent creates a multi-functional integrated system that combines drilling operation software with well planning software into a unified platform. This universal system performs multiple functions including data collection, deviation analysis, plan modification, and feedback transmission within a single integrated environment, thereby improving productivity while managing complexity through functional consolidation rather than separate interconnected systems
4Loss of time
If real-time data synchronization is implemented, then operational efficiency is enhanced, but the extent of automation increases system complexity
Solution Approach 1:
The patent implements preliminary action by pre-establishing automated data synchronization protocols and integration interfaces between drilling operation software and well planning software. This preliminary setup enables real-time data exchange without requiring complex automated decision-making processes during operations, thereby achieving fast response times while limiting the extent of ongoing automation to predefined, manageable processes
Data Source
AI summary
A method for conducting an oilfield operation includes obtaining a plan for conducting an oilfield operation, the plan including a planned value for a metric, receiving data collected while performing one or more oilfield activities using the plan, at least a portion of the data representing an actual value for the metric, determining that one or more deviations from the plan occurred based on a difference between the actual value and the planned value, identifying one or more unplanned events of the one or more oilfield activities that are not in the plan that caused the one or more deviations, calculating a contribution to the difference between the actual value and the planned value caused by the one or more unplanned events, and modifying the plan to account for the one or more unplanned events.