Pipeline Corrosion Feature Alignment for Accurate Growth Rate Tracking
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Solution Overview
Problem
Existing methods for determining corrosion growth rates in oil and gas pipelines are inaccurate due to misalignment of corrosion features in different inspection datasets, leading to errors in feature mapping operations and pipeline condition assessment.
Innovation Solution
A system that utilizes joint-to-joint matching, girth welds coordinate transformation, and a modified ICP process to align corrosion features across multiple inspections, improving the accuracy of corrosion growth rate calculations and providing automated monitoring and adjustment of production operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional feature mapping methods are used to match corrosion features across inspections, then the process is simpler, but the alignment accuracy deteriorates leading to errors in corrosion growth rate calculation
Solution Approach 1:
The feature mapping process is divided into distinct segments: joint-to-joint matching segment, girth weld coordinate transformation segment, and ICP process segment. Each segment handles a specific aspect of the alignment problem, improving overall accuracy while maintaining manageable complexity through modular processing.
Solution Approach 2:
Girth weld coordinates serve as an intermediary reference framework between different inspection datasets. By transforming features into the girth weld coordinate system, the method creates a stable intermediate representation that facilitates accurate matching across inspections without direct complex transformations between all feature pairs.
2Productivity
If manual inspection and analysis of corrosion features is performed, then the system is easier to operate, but the productivity and response time deteriorate
Solution Approach 1:
The system performs automated feature mapping, alignment, and corrosion growth rate calculation without requiring manual intervention. The computer-implemented method independently processes inspection datasets, matches features, and generates results, enabling high productivity while reducing operational burden through self-executing algorithms.
Solution Approach 2:
Manual mechanical inspection and measurement processes are replaced with computer-based automated processing. The system uses digital feature mapping algorithms and coordinate transformations to substitute human-operated mechanical measurement methods, significantly improving productivity and response time.
3Measurement precision
If inspection frequency is increased to improve corrosion detection accuracy, then the measurement precision improves, but the loss of time and operational disruption worsen
Solution Approach 1:
The automated feature mapping system enables continuous monitoring capabilities by rapidly processing inspection data without requiring frequent physical inspection interruptions. The system maintains continuous tracking of corrosion features across multiple inspections, improving detection accuracy while minimizing operational disruption through efficient automated processing.
Data Source
AI summary
The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for managing corrosions in oil and gas pipelines. One computer-implemented method includes: obtaining, by one or more hardware processors, a first dataset and a second dataset; performing, by one or more hardware processors, a feature mapping operation that matches one or more corrosion features in the first dataset to corresponding features in the second dataset, wherein the feature mapping operation comprises a joint matching process, a girth weld coordinate transformation process, and an iterative closest point (ICP) process; determining, by one or more hardware processors, a corrosion growth rate based on an output of the feature mapping operation; and outputting, by one or more hardware processors, the output of the feature mapping operation in a user interface.