Wellbore Fluid Phase Distribution Measurement via Multi-Pass Probe Data
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Solution Overview
Problem
Existing methods for determining fluid phase distribution and holdup in a wellbore are limited by the dynamic nature of downhole flow, leading to variations and temporary anomalies that make single-pass local measurements unrepresentative of overall flow behavior, necessitating improved data processing techniques to accurately quantify fluid fractions and velocities.
Innovation Solution
A method involving multiple passes of oriented local probe data acquisition, data grouping by depth interval, merging of holdup values, and model selection to generate fluid phase distribution information, combining data from all passes to provide a more robust and accurate measurement of downhole phase distribution and holdup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-pass local probe measurements are used to determine fluid phase distribution, then the measurement process is simple and quick, but the results are unrepresentative of overall flow behavior due to dynamic variations and temporary anomalies
Solution Approach 1:
The patent combines multiple pass probe measurements into a single comprehensive dataset. By merging data from multiple passes through the wellbore, the system creates a more complete picture of fluid phase distribution that represents overall flow behavior rather than capturing only transient conditions from a single pass.
Solution Approach 2:
The patent performs preliminary data processing steps including grouping probe data by depth interval and merging holdup values before final analysis. This preliminary organization of data prepares it for more accurate interpretation and reduces the complexity of subsequent processing steps.
2Measurement precision
If multiple passes of probe data are collected and processed, then the accuracy of fluid phase distribution measurement is improved, but the time required for measurement and processing increases
Solution Approach 1:
The patent segments the wellbore into depth intervals and processes probe data within each segment independently. This segmentation allows for systematic processing of large datasets from multiple passes, making the time-consuming task more manageable and efficient through structured approach.
Solution Approach 2:
The patent performs preliminary grouping and merging of probe data by depth interval before final analysis. This preliminary organization reduces the complexity of processing multiple passes of data, making the overall process more efficient despite requiring multiple measurement passes.
3Difficulty of detecting and measuring
If local probe measurements are used to evaluate spatial distribution, then the ability to detect phase-specific flow characteristics is improved, but the dynamic variations make it difficult to represent overall flow behavior
Solution Approach 1:
The patent merges local probe measurements from multiple passes to create a comprehensive dataset that represents overall flow behavior. By combining data across multiple passes and depth intervals, the system maintains the ability to detect phase-specific characteristics while improving representativeness through aggregation of multiple measurements.
Solution Approach 2:
The patent uses the results from multiple passes of measurements to refine and verify the overall flow behavior characterization. The iterative process of collecting, analyzing, and comparing data across passes provides feedback that improves the reliability of the final interpretation.
Data Source
AI summary
The present invention is a method of determining fluid phase distribution and quantifying holdup in a wellbore. The method includes receiving a plurality of oriented probe data and grouping the oriented probe data based on a depth interval. The grouped probe data is processed and fluid phase distribution information is generated based on the processed result.