Wellbore Ballooning Detection Using Neural Network Analysis
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Solution Overview
Problem
Current wellbore systems face challenges in distinguishing between ballooning events and influxes of formation fluids, leading to potential unnecessary closures and operational inefficiencies due to reliance on human judgment for interpreting return flow increases.
Innovation Solution
A wellbore system equipped with a controller that monitors the ballooning potential using a rule-based approach and neural network models to differentiate between ballooning and influx events, reducing the likelihood of mistaken interpretations and optimizing operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If human judgment is used to interpret return flow increases, then operational flexibility is maintained, but accuracy and repeatability of interpretation deteriorate
Solution Approach 1:
The patent replaces the mechanical human judgment process with an automated computer-based system that uses machine learning models and algorithms to interpret return flow increases. This substitution eliminates human subjectivity and inconsistency while maintaining operational flexibility through programmable decision rules and configurable parameters.
Solution Approach 2:
The patent introduces an intermediary automated analysis system between the raw return flow data and the operational decision-making process. This intermediary layer processes data through multiple algorithms, compares against historical patterns, and provides standardized interpretations that improve accuracy while preserving operational flexibility through configurable response thresholds.
2Measurement precision
If automated monitoring systems are implemented, then interpretation accuracy and repeatability improve, but system complexity increases
Solution Approach 1:
The patent segments the automated monitoring system into distinct functional modules: data acquisition components, machine learning model layers, analysis algorithms, and user interface elements. This segmentation allows each component to be independently optimized, tested, and maintained, reducing overall system complexity while maintaining high interpretation accuracy.
Solution Approach 2:
The patent implements a multi-functional automated system that can handle multiple types of wellbore operations, various return flow patterns, and different analysis methodologies within a single integrated platform. This universality reduces complexity by avoiding the need for separate specialized systems for different scenarios.
3Reliability
If costly mitigation measures are taken based on human judgment, then safety risks are addressed, but operational efficiency deteriorates due to unnecessary closures
Solution Approach 1:
The patent implements a feedback-driven monitoring system that continuously analyzes return flow data, compares it against baseline patterns and historical data, and provides real-time feedback on whether mitigation measures are actually needed. This feedback mechanism reduces unnecessary closures by providing objective evidence-based recommendations while maintaining safety through continuous monitoring and alerting.
Data Source
AI summary
A method for operating a wellbore system for producing hydrocarbons from a wellbore in an underground formation in which a working fluid is circulated through the wellbore during operation. The method includes detecting a loss of the working fluid, allocating the loss to one or more layers of the underground formation, determining a ballooning potential of the wellbore based on the allocated loss and a lithology of the one or more layers of the underground formation, detecting an increase in a return flow of the working fluid from the wellbore, and comparing the increase in the return flow to the ballooning potential of the wellbore to determine whether the increase in the return flow is due to an influx of formation fluid into the wellbore. Remedial action may be taken in response to a determination that the increase in the return flow is due to an influx of formation fluid.