Downhole Acoustic Sand Flow Detection for Early Borehole Erosion Warning
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Solution Overview
Problem
Existing methods for detecting and quantifying sand flows in boreholes are inadequate, as they fail to accurately identify sand ingress at early stages, leading to erosion and damage to production components, and lack precise location information for effective well management.
Innovation Solution
A system using acoustic sensors on a downhole tool collects vibrational data to generate a sand flow signal, employing machine learning models to detect and quantify sand presence and amount, enabling early detection and informed well management decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional detection methods are used, then device complexity is reduced, but measurement precision of sand flow detection deteriorates
Solution Approach 1:
The patent replaces traditional mechanical sand detection methods with acoustic field-based detection. Acoustic sensors measure vibrations and sound waves generated by sand particles moving through the borehole, substituting mechanical measurement with acoustic field measurement to achieve higher precision without significant complexity increase
Solution Approach 2:
The patent introduces acoustic fields as an intermediary medium between the sand particles and the detection system. The acoustic sensors detect sand flows by measuring disturbances in the acoustic field caused by sand particle movement, using the acoustic field as a mediator to transfer information about sand presence and quantity
2Reliability
If early sand detection is implemented, then reliability of production components is improved, but loss of time for data processing increases
Solution Approach 1:
The patent implements preliminary detection of sand flows at early stages before they cause significant damage. By continuously monitoring acoustic fields and detecting sand particle movements early, the system enables proactive well management decisions to be made before erosion and damage occur, improving reliability through early intervention
Solution Approach 2:
The patent establishes a feedback loop where acoustic detection data is continuously analyzed and used to adjust well management decisions in real-time. The system processes acoustic sensor data, identifies sand flow patterns, and provides feedback to operators to take corrective actions, creating a closed-loop control system that responds dynamically to sand flow conditions
3Measurement precision
If acoustic sensors are deployed in borehole, then measurement precision of sand quantification is improved, but device complexity and cost increase
Solution Approach 1:
The patent designs the downhole tool to perform multiple functions: acoustic field measurement for sand detection, general borehole monitoring, and production data collection. By making the acoustic sensor system multi-functional and capable of various detection tasks, the complexity is justified by the versatility and additional value provided by the same hardware infrastructure
Solution Approach 2:
The acoustic sensor system is designed to be self-contained and autonomous, operating independently downhole to detect and quantify sand flows without requiring complex external support systems. The sensors self-monitor the acoustic field and automatically process signals to identify sand presence, reducing the need for complex external control and processing infrastructure
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
The system provides accurate and timely detection of sand flows, allowing for proactive well management to prevent erosion and equipment damage, enhancing production efficiency and safety.
Implementation Method 1
acoustic sensors on a downhole tool lowered into a borehole... generates a sand flow signal based on the collected acoustic data
Data Source
AI summary
Systems, methods, and computer-readable media are provided for detecting sand in a production flow. An example method can include receiving acoustic field data generated by at least one acoustic sensor on a downhole tool lowered into a borehole of a production flow. The method can further include inputting the acoustic field data into an acoustic sand detection model and generating a sand flow signal based on output on the acoustic sand detection model.