Fiber Cable Sensor Data Filtering for Wellbore Fluid Flow Analysis
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Solution Overview
Problem
Current methods in reflection seismology face challenges in accurately processing seismic data to determine fluid flow and fracture characteristics in subsurface formations, particularly due to interference from multiple reflected waves, which can hinder the interpretation of seismic data and affect the efficiency of reservoir management and fracturing operations.
Innovation Solution
A method involving a fiber cable sensor system that filters vibration data to isolate traveling waves, generates fluid flow information, and adjusts treatment processes based on this information, allowing for real-time optimization of fracturing operations and improved data interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional reflection seismology methods are used to process seismic data, then fluid flow and fracture characteristics can be determined, but multiple reflected waves interfere with the accuracy of data interpretation
Solution Approach 1:
The patent extracts and isolates the useful traveling wave signals from the seismic data by filtering out the harmful multiple reflected waves. The fiber optic cable sensor system specifically detects traveling waves that carry fluid flow information while excluding stationary or reflected wave components, thereby resolving the interference problem and improving measurement accuracy.
2Loss of time
If fiber cable sensor data is collected during treatment process, then real-time fluid flow information can be obtained, but the complexity of data processing increases due to multiple wave reflections
Solution Approach 1:
The patent implements a feedback mechanism where fiber optic cable sensors continuously monitor fluid flow during the treatment process, and the processed information is immediately used to adjust treatment parameters. The system creates a closed-loop control where real-time traveling wave data feeds back to optimize the fracturing operation, maintaining time efficiency while managing processing complexity through targeted filtering.
3Productivity
If traditional seismic data processing is used, then subsurface formation properties can be estimated, but the efficiency of reservoir management is reduced due to inability to optimize treatment in real-time
Solution Approach 1:
The patent enables the treatment system to self-adjust and self-optimize by continuously monitoring its own performance through fiber optic cable sensors. The system automatically detects fluid flow patterns, identifies optimal treatment conditions, and adjusts parameters without external intervention, thereby improving productivity while maintaining comprehensive information awareness through real-time traveling wave monitoring.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of fluid flow analysis and fracture monitoring, enabling more effective reservoir management and fracturing operations by filtering out noise from multiple reflected waves and providing real-time data for optimizing treatment processes.
Implementation Method 1
receiving vibration data acquired over a length of a fiber cable sensor disposed in a well
Implementation Method 2
filtering the vibration data as to traveling waves to generate filtered data
Data Source
AI summary
A method can include, during a treatment process, receiving vibration data acquired over a length of a fiber cable sensor disposed in a well that includes perforations; filtering the vibration data as to traveling waves to generate filtered data; analyzing the filtered data to generate fluid flow information; and adjusting the treatment process based at least in part on the fluid flow information.