System, method and device for abnormality detection in tubular structure

Abstract

A system, a method, and a device are provided for detecting abnormalities in a tubular structure. In one aspect, an abnormality detection system may include a sensing array, a memory, and one or more processors arranged on a tubular structure. In an example, the sensing array may include plurality of optical sensors and plurality of acoustic sensors. The processors are configured to receive sensor data relating to a tubular structure from the sensing array. Further the processors are configured to determine properties of the tubular structure based on the sensor data, where the properties are associated with at least one of: material, or physical structure and detect an abnormality in the tubular structure based on the determined properties. Further the processors are configured to determine characteristics of the detected abnormality in the tubular structure.

What is claimed is: 
     
         1 . A system, for abnormality detection, comprising:
 a sensing array comprising at least a plurality of optical sensors to measure light rays and a plurality of acoustic sensors to measure acoustic responses;   a memory connected to the sensing array, the memory being configured to store a computer-executable instructions; and   one or more processors connected to the sensing array, the one or more processors being configured to execute the computer-executable instructions to:   receive sensor data relating to a tubular structure from the sensing array, the sensor data comprising at least imaging data and acoustic response data;   determine one or more properties of the tubular structure based on the sensor data, wherein the properties are associated with at least one of: material, or physical structure;   detect an abnormality in the tubular structure based on the determined properties; and   determine one or more characteristics of the detected abnormality in the tubular structure.   
     
     
         2 . The system of  claim 1 , wherein the one or more processors are configured to:
 detect, using the sensor array, an acoustic response of the detected abnormality in the tubular structure; and   determine the one or more characteristics of the detected abnormality in the tubular structure based on the detected acoustic response of the abnormality.   
     
     
         3 . The system of  claim 1 , wherein the acoustic response data comprises acoustic responses from one or more materials associated with the tubular structure, and wherein the one or more materials include material used for construction as well as material flowing within and without the tubular structure. 
     
     
         4 . The system of  claim 1 , wherein the plurality of acoustic sensors is positioned within a wavelength of a natural resonant frequency of a material of the tubular structure. 
     
     
         5 . The system of  claim 1 , wherein the plurality of optical sensors comprises at least one hyperspectral image sensor. 
     
     
         6 . The system of  claim 1 , wherein the imaging data comprises a plurality of 2D images of the tubular structure generated based on illumination of the tubular structure with broad-band light. 
     
     
         7 . The system of  claim 1 , wherein the sensor data is associated with a casing of the tubular structure, and wherein the one or more processors are configured to:
 determine the one or more properties associated with a material of at least one of: an inside wall of the casing or an outside wall of the casing;   determine, using an AI-based model, one or more differences in the one or more properties of at least one of: the inside wall or the outside wall, based on a set of predefined material properties; and   detect, using the AI-based model, the abnormality in at least one of: the inside wall or the outside wall, based on the one or more differences.   
     
     
         8 . The system of  claim 7 , wherein the casing of the tubular structure comprises a plurality of layers and wherein each of the plurality of layers of the casing is made of at least one of: steel, or cement. 
     
     
         9 . The system of  claim 7 , wherein one or more processors are configured to:
 process, using the AI-based model, one or more images of the tubular structure to detect and characterize the abnormality in the tubular structure.   
     
     
         10 . The system of  claim 1 , wherein the sensing array may be organized into different configurations including, but not limited to, two dimensional or three dimensional assemblies of sensors with combinations of one or more sparse, irregular, linear, curved, or radial shaped arrays. 
     
     
         11 . The system of  claim 1 , wherein the tubular structure is a wellbore. 
     
     
         12 . The system of  claim 1 , wherein the one or more processors are further configured to:
 measure flow of fluid within at least one of: an inside, or an outside, of the casing of the tubular structure, and a leakage of the fluid within at least one of: the inside, or the outside, of the casing of the tubular structure; and   determine one or more properties of the tubular structure based on at least one of: the flow of fluid within an inside of the casing, or a leakage of the fluid in at least one of: the inside, or the outside of the casing.   
     
     
         13 . A method for abnormality detection, comprising:
 receiving sensor data relating to a tubular structure from the sensing array, the sensor data comprising at least one of: imaging data, or acoustic response data;   determining properties of the tubular structure based on the sensor data, wherein the properties are associated with at least one of: material, or physical structure;   detecting an abnormality in the tubular structure based on the determined properties; and   determining one or more characteristics of the detected abnormality in the tubular structure.   
     
     
         14 . The method of  claim 13 , further comprising:
 detecting, using the sensor array, an acoustic response of the detected abnormality in the tubular structure; and   determining the one or more characteristics of the detected abnormality in the tubular structure based on the detected acoustic response of the abnormality.   
     
     
         15 . The method of  claim 13 , further comprising:
 determining the one or more properties associated with a material of at least one of: an inside wall of the casing or an outside wall of the casing;   determining, using an AI-based model, one or more differences in the one or more properties of at least one of: the inside wall or the outside wall, based on a set of predefined material properties; and   detecting, using an AI-based model, the abnormality in at least one of: the inside wall or the outside wall, based on the one or more differences.   
     
     
         16 . The method of  claim 15 , wherein the casing of the tubular structure comprises a plurality of layers and wherein each of the plurality of layers of the casing is made of at least one of: steel, or cement. 
     
     
         17 . The method of  claim 13 , further comprising:
 measuring flow of fluid within at least one of: an inside, or an outside, of the casing of the tubular structure, and a leakage of the fluid within at least one of: the inside, or the outside, of the casing of the tubular structure; and   determining one or more properties of the tubular structure based on at least one of: the flow of fluid within an inside of the casing, or a leakage of the fluid in at least one of: the inside, or the outside of the casing.   
     
     
         18 . A device for abnormality detection, comprising:
 a plurality of acoustic transducer arrays configured to direct an ultrasonic beam directed at the tubular structure to illuminate the tubular structure, the tubular structure comprising a plurality of layers of nested tubular structures; and   a plurality of sensing arrays, wherein the plurality of sensing arrays are positioned with respect to the each other, and wherein at least one of the plurality of sensing arrays is configured to:   generate at least one image of at least one of: a casing of the tubular structure at a predefined resolution, or a layer between the casing and a surrounding surface, based on the ultrasonic beam, and   receive and transmit sensor data to a processor, the sensor data comprising at least one of: imaging data, or acoustic response data, and wherein the processor is configured to detect an abnormality in the tubular structure based on the sensor data.   
     
     
         19 . The device of  claim 18 , wherein each of the first sensing array and the second sensing array includes a plurality of multi-frequency arrays. 
     
     
         20 . The device of  claim 18  wherein the acoustic transducer array comprises:
 at least two transmitter arrays along at least one of: axially or radial path, wherein the transmitter arrays are configured to generate and receive the ultrasonic beam along a longitudinal axis of the device in an axial or a radial path; and. 
 at least two longitudinally positioned receiver arrays, wherein the receiver arrays are longitudinally separated from the transmitter arrays, and wherein the receiver arrays are configured to detect acoustic responses.