Auto Sampler for Tracer Detection in Wellbores
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Solution Overview
Problem
Current tracer sampling methods in the oilfield industry are inefficient, costly, and complex, as they involve taking constant-sized samples at predetermined intervals without adjusting for changing tracer concentrations or fluid properties, often missing optimal sampling windows and resulting in inconclusive analysis.
Innovation Solution
An auto-sampling and auto-analysis system that includes a programmable device with a valve and controller to adjust sampling based on real-time tracer concentration, fluid properties, and predetermined profiles, allowing for variable sampling volumes and frequencies, and incorporating a probe for tracer detection and communication for real-time data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If constant-sized samples are taken at predetermined intervals, then sampling procedure is simple, but sampling accuracy deteriorates due to inability to adjust for changing tracer concentrations
Solution Approach 1:
The sampling system transitions from static predetermined intervals to dynamic adaptive sampling where the sampling rate and sample size automatically adjust based on real-time tracer concentration measurements. The controller modifies sampling parameters dynamically in response to detected tracer levels, optimizing measurement accuracy while capturing transient concentration changes.
Solution Approach 2:
The system implements a feedback loop where tracer concentration is continuously monitored and this information feeds back to the controller to adjust subsequent sampling actions. The measured tracer concentration directly influences the sampling rate and volume, creating a closed-loop control system that adapts to changing conditions.
2Measurement precision
If sampling frequency is increased to capture optimal sampling windows, then measurement accuracy improves, but cost and complexity increase
Solution Approach 1:
Instead of continuously sampling at high frequency, the system applies partial action by increasing sampling rate only when tracer concentration exceeds predetermined thresholds or during detected transient events. This selective intensive sampling captures critical information while reducing overall sampling volume and associated costs.
Solution Approach 2:
The system changes sampling parameters (rate, volume, frequency) based on detected tracer concentration levels and flow conditions. By dynamically adjusting these parameters rather than maintaining constant high-frequency sampling, the system achieves accurate tracer detection while optimizing resource utilization.
3Loss of time
If manual sampling methods are used, then equipment complexity is low, but time consumption and labor costs increase
Solution Approach 1:
The sampling system performs self-service through automated tracer detection and adaptive sampling control. The system autonomously monitors tracer concentration, determines optimal sampling moments, executes sampling operations, and adjusts parameters without human intervention, eliminating manual labor while maintaining simple operational procedures.
Solution Approach 2:
Manual mechanical sampling operations are replaced with an automated electronic control system that uses sensors, controllers, and actuators. This substitution eliminates manual time consumption and labor while the system remains relatively simple in design, focusing on essential automated functions.
4Adaptability or versatility
If fixed sample volumes are used, then sampling procedure is straightforward, but ability to optimize for different tracer concentrations is lost
Solution Approach 1:
The sampling system transitions from fixed static volumes to dynamic variable volumes that automatically adjust based on real-time tracer concentration measurements. The controller modifies sample volume dynamically, taking larger samples when tracer concentration is low and smaller samples when concentration is high, optimizing detection accuracy across varying conditions.
Data Source
AI summary
Methods and devices for sampling tracers may include providing tracers into a wellbore, taking samples of the fluids exiting the wellbore, and quantifying an amount of tracer returning from the well, wherein the samples are automatically taken based on a predetermined profile.