Optical Fiber Temperature Stability Measurement in Oil Wells
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Solution Overview
Problem
Current methods for measuring temperature stability in oil and gas wells are inefficient, requiring lengthy waiting periods based on empirical data, which can lead to unstable temperature measurements or production capacity loss.
Innovation Solution
An online measurement method using distributed optical fiber temperature measuring equipment to collect and analyze temperature data, calculating temperature standard deviations and fitting a normal distribution probability curve to determine temperature stability, allowing for real-time judgment on when to proceed with next operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If waiting time for temperature stabilization is extended, then temperature measurement stability is improved, but production capacity is lost
Solution Approach 1:
The patent implements real-time temperature monitoring and statistical analysis during production operations. By continuously collecting temperature data and calculating standard deviations, the system provides feedback on temperature stability status, allowing operators to determine when stabilization is achieved without fixed waiting periods, thus balancing measurement reliability with production capacity.
Solution Approach 2:
The patent changes the approach from fixed time-based waiting to dynamic parameter-based determination. Instead of waiting for a predetermined time, the system monitors temperature standard deviation parameters and determines stabilization based on whether the standard deviation falls within a predetermined range, enabling flexible adaptation to different well conditions.
2Ease of operation
If fixed waiting time is used for temperature stabilization, then operation simplicity is improved, but measurement accuracy deteriorates
Solution Approach 1:
The system automatically monitors temperature stability using statistical analysis of real-time data. The temperature monitoring equipment self-evaluates whether stabilization is achieved by calculating standard deviations and comparing them against predetermined thresholds, eliminating the need for manual judgment and fixed waiting protocols while ensuring accurate determination of stabilization status.
3Measurement precision
If temperature data is collected continuously, then temperature stability judgment accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts and analyzes only the critical statistical parameter (standard deviation) from continuous temperature data. Instead of processing all raw temperature data in detail, the system extracts the standard deviation value at each measurement point and uses this single parameter to judge stability, significantly reducing data processing complexity while maintaining judgment accuracy.
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 accurate and timely determination of temperature stability, ensuring efficient production operations by reducing waiting times and minimizing interference in data analysis.
Implementation Method 1
a distributed optical fiber temperature measuring equipment (DTS) can be used to capture temperature profiles of an entire oil and gas well by an optical fiber passing through the oil and gas well
Data Source
AI summary
An online measurement method for temperature stability of production layers in an oil and gas well includes: obtaining a plurality of temperature data at each position point of an optical fiber; according to the temperature data, calculating temperature standard deviations of each position point within a production layer at a plurality of time points; performing probability distribution statistics according to the temperature standard deviations at all position points of the production layer at a same time point, fitting a probability distribution curve according to normal distribution, and obtaining a probability density function; obtaining the temperature standard deviations corresponding to at least one value that integral values of the probability density function at all position points of the production layer at each time point is between (0, 1), generating a standard temperature deviation normal distribution probability time curve of each section of the production layer according to the temperature standard deviations.