Downhole Sand Ingress Detection via Distributed Acoustic Sensing
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Solution Overview
Problem
Current methods for detecting sand ingress in wellbores are limited by their inability to accurately and quantitatively identify sand ingress locations and concentrations in real-time, leading to reduced oil production and deferred operations due to reliance on qualitative and surface-based detection methods.
Innovation Solution
A system utilizing distributed acoustic sensors and real-time signal processing to detect broadband acoustic signals within wellbores, analyzing spectral features such as spectral centroid and spread to differentiate sand ingress from other noise sources, allowing for precise identification and quantification of sand ingress zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic point sensors are placed at the surface to detect sand particles, then sand presence can be detected, but the detection is only qualitative and limited to surface equipment
Solution Approach 1:
The patent divides the wellbore into multiple monitoring sections by placing multiple acoustic sensors at different depths along the production pipe. Each sensor monitors a specific zone, enabling identification of sand ingress locations throughout the wellbore rather than only at the surface. This segmentation transforms the detection system from a single surface point to a distributed array that provides spatial information.
Solution Approach 2:
The invention transitions from surface-only detection to depth-resolved detection by positioning sensors at multiple vertical locations within the wellbore. This adds the depth dimension to the detection capability, allowing operators to identify not just that sand is present, but where along the wellbore the sand is entering or accumulating.
2Object-affected harmful factors
If production is choked back to reduce sand production, then sand ingress is reduced, but oil production is significantly reduced
Solution Approach 1:
The system enables preliminary detection of sand ingress at specific downhole locations before sand production becomes severe. By identifying sand ingress zones early and continuously monitoring them, operators can take targeted remediation actions at specific locations rather than implementing blanket production reductions. This allows maintenance of higher production rates while addressing sand issues proactively.
Solution Approach 2:
The real-time acoustic monitoring provides continuous feedback on sand ingress conditions at different wellbore locations. This feedback enables dynamic adjustment of production rates and targeted remediation efforts, allowing operators to optimize the balance between production and sand control rather than relying on conservative static choke settings.
3Measurement precision
If distributed acoustic sensors are deployed throughout the wellbore, then sand ingress locations can be precisely identified, but device complexity increases
Solution Approach 1:
The acoustic sensors serve multiple functions: detecting sand particles, locating sand ingress zones, and monitoring production conditions. By using a single sensor type for multiple detection purposes, the system reduces the need for different specialized devices, thereby simplifying the overall deployment despite the distributed nature of the sensor array.
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
Enables real-time detection and quantification of sand ingress, reducing operational delays and improving production efficiency by providing accurate data for targeted remediation and choke control, thereby optimizing well operations.
Implementation Method 1
detecting a broadband signal within the sample data set... the broadband signal comprises frequencies greater than about 0.5 kHz
Data Source
AI summary
A method of detecting sand inflow into a wellbore is disclosed. The method can include obtaining a sample data set, detecting a broadband signal within the sample data set, comparing the broadband signal with a signal reference, determining that the broadband signal meets or exceeds the signal reference, and determining the presence of sand inflow into the wellbore based on determining that the broadband signal meets or exceeds the signal reference. The sample data set can be a sample of an acoustic signal originating within a wellbore including a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.