Acoustic Noise Source Localization in Multi-Barrier Wells
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Solution Overview
Problem
Existing methods for analyzing mineral deposits using spectral well noise logging are limited by the use of single optical fiber sensors, which can only record low frequencies, and are not effective in evaluating fluid motions or reservoir integrity, while multi-sensor systems are complex and lack accurate models for multi-barrier structures.
Innovation Solution
A method using two or more acoustic sensors for simultaneous recording and computer simulation to locate acoustic noise sources in wells, with co-processing of data to determine source positions and directions, considering well design parameters and media types, to enhance accuracy in multi-barrier designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fiber-optic sensors are used for acoustic noise recording, then the system can record acoustic signals in the well, but the recorded frequencies are limited to low frequencies (few or at most several tens of kilohertz)
Solution Approach 1:
The patent changes the fundamental parameter of sensor technology from fiber-optic sensors to piezoelectric acoustic emission sensors, which enables recording of higher frequencies (up to 100 kHz) while maintaining the capability to record acoustic signals in the wellbore environment
Solution Approach 2:
The patent replaces the fiber-optic sensing mechanism with a piezoelectric sensing mechanism, where piezoelectric crystals convert mechanical acoustic vibrations into electrical signals, enabling broader frequency response including high-frequency acoustic emissions from fluid flow and rock fractures
2Measurement precision
If three or more sensors are used for acoustic noise detection, then signal source localization is possible, but the circuitry becomes complicated
Solution Approach 1:
The patent extracts the essential function of acoustic emission detection to a single piezoelectric sensor, eliminating the need for complex multi-sensor arrays and their associated circuitry while still enabling source localization through advanced signal processing of the single sensor's output
Solution Approach 2:
The patent introduces computer-based signal processing and analysis as an intermediary that compensates for the reduced sensor count, using algorithms to extract localization information from signals recorded by fewer sensors, thereby reducing hardware complexity while maintaining measurement precision
3Adaptability or versatility
If existing sensor systems are used, then acoustic signals can be recorded, but they cannot effectively evaluate fluid motions or reservoir integrity due to frequency limitations
Solution Approach 1:
The patent changes the frequency response parameter of the sensing system by adopting piezoelectric sensors with bandwidth extending to 100 kHz, enabling detection of high-frequency acoustic emissions from fluid flow through open discontinuities, rock fractures, and other reservoir phenomena that generate high-frequency signals
Solution Approach 2:
The patent creates a universal acoustic emission detection system that can evaluate multiple aspects of reservoir and well integrity simultaneously - including fluid flow through open discontinuities, rock fracture detection, casing integrity, and reservoir characteristics - all through the high-frequency response capability of piezoelectric sensors
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 increases the accuracy of acoustic noise source localization in wells with complex designs, enabling better evaluation of fluid motions and reservoir integrity by using simplified circuitry and advanced data processing techniques.
Implementation Method 1
The spectral noise logging is based on recording of acoustic noises produced during liquid or gas motion through the formation or open discontinuities into well structure
Data Source
AI summary
The claimed invention relates to means for analysis of a mineral deposit under development using noise logging. The aim of invention consists in increasing accuracy of sound source position determining at surveying in wells with complicated multi-barrier design. The method for locating an acoustic noise source in a well comprises the stages of:computer simulation of acoustic field generated by one or more sources of acoustic signal in the well;simultaneous recording of acoustic signals inside the wellbore using a device for recording acoustic signals comprising at least two acoustic sensors;locating the sought acoustic signal sources in the well by means of co-processing of computer simulation data and data on acoustic signals inside the wellbore recorded using the aforementioned device.