Process Mining Software for Wellbore Operations
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Solution Overview
Problem
Wellbore operations often deviate from predefined processes due to suboptimal reporting and lack of real-time data analysis, leading to inefficiencies and potential safety issues in hydrocarbon extraction.
Innovation Solution
Process-mining software utilizing machine-learning models and sensor data to generate accurate process flows for wellbore operations, comparing actual operations to expected processes, and continuously improving the workflow to optimize wellbore formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If well operators report operations manually, then the reporting process is simple and quick, but the accuracy and reliability of the reported operations deteriorate because operations performed belowground cannot be directly observed
Solution Approach 1:
The patent replaces manual reporting systems with an automated sensor-based monitoring system. Sensors installed at the wellsite automatically detect and record operational parameters, eliminating the need for manual observation and reporting by operators. This substitution of mechanical/physical sensing systems for human reporting resolves the contradiction by providing both automated ease of data collection and high measurement precision through direct physical measurement of operational parameters.
Solution Approach 2:
The patent introduces sensors and automated monitoring equipment as intermediaries between the actual wellbore operations and the reporting process. These intermediaries directly measure operational parameters at the source and transmit data automatically, serving as a reliable mediator that captures accurate information without requiring human observation or interpretation of belowground operations.
2Adaptability or versatility
If actual operations are allowed to deviate from predefined processes, then operational flexibility and adaptability improve, but process reliability and safety deteriorate due to suboptimal operations
Solution Approach 1:
The patent implements a feedback system where actual operational data from sensors is continuously compared against predefined process parameters. When deviations are detected, the system generates alerts and notifications to operators, enabling them to correct suboptimal operations while maintaining the flexibility to adapt when deviations are justified. This feedback mechanism preserves reliability by monitoring and flagging problematic deviations while allowing legitimate operational flexibility.
Solution Approach 2:
The patent creates a dynamic system that adapts to actual operational conditions while maintaining oversight of predefined processes. The system allows operations to dynamically adjust to real-time conditions but maintains the ability to identify and correct deviations that compromise safety or efficiency, balancing flexibility with reliability through real-time monitoring and adaptive response capabilities.
3Device complexity
If manual reporting methods are used, then implementation complexity is low, but information completeness and timeliness deteriorate due to lack of real-time data analysis
Solution Approach 1:
The patent implements preliminary action by pre-installing sensors and monitoring equipment at wellsites before operations begin. This advance preparation enables automatic data collection and real-time transmission without adding operational complexity during actual wellbore formation. The system is already in place to capture complete and timely information, eliminating the need for complex manual reporting procedures while ensuring information completeness.
4Productivity
If extensive monitoring and analysis systems are implemented, then operational accuracy and efficiency improve, but system complexity and cost increase
Solution Approach 1:
The patent employs universal, multi-functional sensor systems and platforms that can monitor multiple operational parameters simultaneously. Rather than implementing separate specialized systems for each measurement, the solution uses integrated sensors and communication infrastructure that serve multiple functions, reducing overall system complexity while maintaining comprehensive monitoring capabilities and high operational efficiency.
Data Source
AI summary
Process-mining software is disclosed for generating a process flow for forming a wellbore at a wellsite. The process-mining software can receive data from sensors at a wellsite. The process-mining software can determine wellbore operations performed at the wellsite, based on the received data, using a predefined algorithm. The process-mining software can generate an event log based on the determined wellbore operations. The process-mining software can then generate a process flow based on the event log. The process-mining software can output the process flow for use in forming one or more wellbores.