Long-term trend analysis for equipment for well systems

Abstract

Disclosed are systems, apparatuses, methods, and computer readable medium for long term trend analysis for equipment for well systems. A method includes: receiving first measurement data associated with or from equipment submersed into a downhole environment during a portion of a current operation for extracting materials from the downhole environment at a pumping system for a well; normalizing the first measurement data; removing portions of normalized data that are associated with scale; combining the normalized data with previous data into complete well data, wherein the previous data is associated with previous runs of the downhole environment; providing the complete well data into a first machine learning model for identifying trends associated with the complete well data; receiving labels associated with operation of a first equipment from the first machine learning model; and displaying information pertaining to trends and events associated with an entirety of the current operation.

What is claimed is: 
     
         1 . A method of detecting long-term trends across operations at a pumping system for a well, comprising:
 receiving first measurement data associated with or from equipment submersed into a downhole environment during a portion of a current operation for extracting materials from the downhole environment at a pumping system for a well;   normalizing the first measurement data based on corresponding measurement data associated with other downhole environments;   combining the normalized data with previous data into complete well data, wherein the previous data is associated with previous operations of the downhole environment;   providing the complete well data into a first machine learning model for identifying trends associated with the complete well data;   receiving labels associated with operation of a first equipment from the first machine learning model, wherein the labels are associated with the portion of the current operation; and   displaying information pertaining to trends and events associated with an entirety of the current operation.   
     
     
         2 . The method of  claim 1 , further comprising:
 identifying an alarm condition associated with a trend regarding operation of the equipment based on a current trend experienced within the downhole environment.   
     
     
         3 . The method of  claim 2 , further comprising:
 in response to detecting termination of the trend, selecting a portion of data corresponding to the trend and providing the portion of data to a supervision system for input into a training dataset.   
     
     
         4 . The method of  claim 2 , wherein an operator of the well facility provides input into a device to control the equipment and avert the trend. 
     
     
         5 . The method of  claim 2 , further comprising:
 identifying a corrective action to take based on the alarm condition to resolve the trend; and   controlling the first equipment based on the corrective action.   
     
     
         6 . The method of  claim 2 , wherein further comprising:
 detecting a second alarm condition issue based on the first measurement data using a second machine learning model, wherein the second machine learning model is configured to evaluate data over a shorter interval than the first machine learning model.   
     
     
         7 . The method of  claim 2 , wherein the first machine learning model is configured to detect the alarm condition using a sliding window over a period of time using the complete well data. 
     
     
         8 . The method of  claim 1 , wherein the labels comprise information indicating changes from the previous operations. 
     
     
         9 . A system for detecting long-term trends across operations at a pumping system for a well, comprising:
 a storage configured to store instructions;   a processor configured to execute the instructions and cause the processor to:
 receive first measurement data associated with or from equipment submersed into a downhole environment during a portion of a current operation for extracting materials from the downhole environment at a pumping system for a well; 
 normalizing the first measurement data based on corresponding measurement data associated with other downhole environments; 
 combine the normalized data with previous data into complete well data, wherein the previous data is associated with previous operations of the downhole environment; 
 provide the complete well data into a first machine learning model for identifying trends associated with the complete well data; 
 receive labels associated with operation of a first equipment from the first machine learning model, wherein the labels are associated with the portion of the current operation; and 
 display information pertaining to trends and events associated with an entirety of the current operation. 
   
     
     
         10 . The system of  claim 9 , wherein the processor is configured to execute the instructions and cause the processor to:
 identify an alarm condition associated with a trend regarding operation of the equipment based on a current trend experienced within the downhole environment.   
     
     
         11 . The system of  claim 10 , wherein the processor is configured to execute the instructions and cause the processor to:
 in response to detecting termination of the trend, select a portion of data corresponding to the trend and providing the portion of data to a supervision system for input into a training dataset.   
     
     
         12 . The system of  claim 10 , wherein an operator of the well facility provides input into a device to control the equipment and avert the trend. 
     
     
         13 . The system of  claim 10 , wherein the processor is configured to execute the instructions and cause the processor to:
 identify a corrective action to take based on the alarm condition to resolve the trend; and   control the first equipment based on the corrective action.   
     
     
         14 . The system of  claim 10 , wherein the processor is configured to execute the instructions and cause the processor to:
 detect a second alarm condition issue based on the first measurement data using a second machine learning model, wherein the second machine learning model is configured to evaluate data over a shorter interval than the first machine learning model.   
     
     
         15 . The system of  claim 10 , wherein the first machine learning model is configured to detect the alarm condition using a sliding window over a period of time using the complete well data. 
     
     
         16 . The system of  claim 9 , wherein the labels comprise information indicating changes from the previous operations. 
     
     
         17 . A non-transitory computer readable medium comprising instructions, the instructions, when executed by a computing system, cause the computing system to:
 receive first measurement data associated with or from equipment submersed into a downhole environment during a portion of a current operation for extracting materials from the downhole environment at a pumping system for a well;   normalize the first measurement data based on corresponding measurement data associated with other downhole environments;   combine the normalized data with previous data into complete well data, wherein the previous data is associated with previous operations of the downhole environment;   provide the complete well data into a first machine learning model for identifying trends associated with the complete well data;   receive labels associated with operation of a first equipment from the first machine learning model, wherein the labels are associated with the portion of the current operation; and   display information pertaining to trends and events associated with an entirety of the current operation.   
     
     
         18 . The computer readable medium of  claim 17 , wherein the computer readable medium further comprises instructions that, when executed by the computing system, cause the computing system to:
 identify an alarm condition associated with a trend regarding operation of the equipment based on a current trend experienced within the downhole environment.   
     
     
         19 . The computer readable medium of  claim 18 , wherein the computer readable medium further comprises instructions that, when executed by the computing system, cause the computing system to:
 in response to detecting termination of the trend, select a portion of data corresponding to the trend and providing the portion of data to a supervision system for input into a training dataset.   
     
     
         20 . The computer readable medium of  claim 18 , an operator of the well facility provides input into a device to control the equipment and avert the trend.