Wireline Well Barrier Monitoring With Real-Time Model Updates
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Solution Overview
Problem
Existing methods for monitoring well barriers in oil and gas explorations are cumbersome, expensive, and error-prone, lacking real-time dynamic equipment configuration and accurate model updates, which can lead to non-productive time and resource loss.
Innovation Solution
Implementing a system with sensors and computing processors to autonomously monitor well barriers by capturing data, generating execution plans, and controlling equipment operations to update wellbore models, ensuring accurate well integrity assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used for acquiring model data and configuring equipment, then flexibility and adaptability are maintained, but the processes become extremely cumbersome, expensive, and error-prone with lack of real-time updates
Solution Approach 1:
The system enables autonomous wireline operations where the wireline unit automatically performs data acquisition, equipment configuration, and operations without manual intervention. The autonomous controller manages the entire workflow including deploying sensors, configuring equipment parameters, and executing monitoring tasks based on wellbore model data, eliminating the need for manual processes while reducing errors and non-productive time
Solution Approach 2:
The patent replaces manual mechanical processes with an automated control system. The autonomous controller uses computer-implemented algorithms to substitute human operators in performing data acquisition, equipment configuration, and operational tasks. This automation substitutes the mechanical manual operations with an electronic control system that reduces errors and improves efficiency
2Reliability
If initial models and updates are flawed, then money is lost and non-productive time occurs, but thorough modeling and testing require significant resources
Solution Approach 1:
The system performs preliminary autonomous testing and validation of wellbore models before actual wireline operations. The autonomous controller simulates operations using the wellbore model to identify potential issues, optimize equipment configuration, and validate measurement approaches in advance. This preliminary action prevents costly errors during actual operations while reducing the need for extensive physical resource consumption
Solution Approach 2:
The system implements a feedback loop where measurement data from autonomous operations is continuously compared against wellbore model predictions. Discrepancies between measured and predicted values trigger automatic model updates and re-validation. This feedback mechanism ensures model accuracy is maintained with minimal additional resources by only performing targeted updates rather than complete re-modeling
3Adaptability or versatility
If manual equipment configuration is used, then adaptability to model updates is possible, but real-time or pseudo-real-time dynamic configuration is lacking
Solution Approach 1:
The autonomous controller automatically configures equipment parameters in real-time based on wellbore model updates without waiting for manual intervention. When the wellbore model is updated with new measurement data, the system self-adjusts sensor deployment locations, measurement intervals, and equipment settings immediately, enabling both adaptability and real-time responsiveness
Solution Approach 2:
The system maintains continuous operation where equipment configuration is continuously updated alongside wellbore model refinements. Rather than discrete manual reconfiguration events, the autonomous system continuously adjusts equipment parameters as new measurement data becomes available, ensuring uninterrupted adaptability and real-time responsiveness throughout the monitoring operation
Data Source
AI summary
A system for wireline service planning and advising includes a receiver, one or more computing system processors, and a transmitter. The receiver is configured to receive, from a user of the system, an objective parameter for interpreting a state of a well barrier. The one or more computing system processors is in communication with the receiver and configured to generate a plurality of candidate services based on the objective parameter and a model of the well barrier, each candidate service specifying sensor data to be acquired using wireline tools, select at least one wireline service from the wireline candidate services based on a selection logic or input by the user, and generate an execution plan specifying operational parameters of the selected wireline service. The transmitter is in communication with the one or more computing system processors and configured to transmit the execution plan to execute the selected wireline service at a wellsite.