US2023374898A1PendingUtilityA1

Computer-implemented method for determining an operational property of a drill-rod borehole pump, analysis device, and pump system for same

Assignee: SIEMENS ENERGY GLOBAL GMBH & CO KGPriority: Oct 15, 2020Filed: Sep 24, 2021Published: Nov 23, 2023
Est. expiryOct 15, 2040(~14.2 yrs left)· nominal 20-yr term from priority
E21B 47/009E21B 43/127E21B 2200/22E21B 2200/20
39
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Claims

Abstract

A computer-implemented method for determining an operational property of a drill-rod borehole pump. A load-distance diagram with curve points for the pump is ascertained by an analysis device using a detection device and is provided as an operational load-distance diagram with operational curve points. Wherein in a training mode, a load-distance diagram model for the pump with model curve points is generated and trained on the basis of machine learning, at least two specified analysis regions are determined in the load-distance diagram model, and a reference point is ascertained from the model curve points of at least one region. In an operating mode for the operational load-distance diagram, a check is carried out to determine whether the at least one reference point is contained within the surface contained by the operational curve points, and if so, the operational property of the conveyor pump is determined therefrom.

Claims

exact text as granted — not AI-modified
1 . A computer-implemented method for determining an operating property of a pumpjack, wherein the pumpjack has a pump head, which is connected to a kinematic converter via a rod system, and the kinematic converter is driven by a motor during operation and a load-travel graph containing curve points is determined for the pumpjack by an analysis device using a recording device and is provided as an operating load-travel graph containing operating curve points, the method comprising:
 in a training mode, producing and training by the analysis device at least one load-travel graph model for the pumpjack containing model curve points on the basis of machine learning, and determining at least two predefined analysis ranges comprising at least some of the model curve points in the at least one load-travel graph model, and using the model curve points in at least one range from the analysis ranges to ascertain a reference point, and,   in an operating mode, checking the operating load-travel graph for whether the at least one reference point determined in the training mode is enclosed within an area enclosed by the operating curve points, and if so, determining the operating property of the pumpjack therefrom.   
     
     
         2 . The method as claimed in  claim 1 ,
 wherein the geometric center of an area that is defined by the model curve points in the respective range is used for determining the reference point.   
     
     
         3 . The method as claimed in  claim 1 ,
 wherein a reference point is determined for each range.   
     
     
         4 . The method as claimed in  claim 1 ,
 wherein at least one analysis range is defined by a polygon.   
     
     
         5 . The method as claimed in  claim 1 ,
 wherein at least four ranges are determined.   
     
     
         6 . The method as claimed in  claim 5 ,
 wherein the ranges overlap one another at least in part.   
     
     
         7 . The method as claimed in  claim 1 ,
 wherein at least one range is defined for which there is provision for no enclosed curve point to be taken into account for the subsequent check.   
     
     
         8 . The method as claimed in  claim 1 ,
 wherein derived curve data from the load-travel graph model and underlying operating curve points from the operating load-travel graph are normalized with respect to one another for the check in the operating mode.   
     
     
         9 . The method as claimed in  claim 1 ,
 wherein the motor is electrically operated and the recording device is designed to record electrical power consumption of the motor during the operation thereof, from which power consumption the operating properties of the pumpjack are determined.   
     
     
         10 . The method as claimed in  claim 1 ,
 wherein the operating curve points and the model curve points each have intervals between two adjacent points on the respective curves that are on average at least 50% of the greatest interval between two adjacent points on the respective curve.   
     
     
         11 . A computer program stored on a non-transitory computer readable medium, comprising:
 instructions stored thereon that, when executed by a computer, cause said computer to carry out the method as claimed in  claim 1 .   
     
     
         12 . A non-transitory electronically readable data carrier comprising:
 readable control information stored thereon, which control information comprises at least a computer program configured in such a way that it performs a method as claimed in  claim 1  when the data carrier is used in a computing apparatus.   
     
     
         13 . A non-transitory data carrier comprising:
 the computer program as claimed in  claim 11 .   
     
     
         14 . An analysis device comprising:
 a memory for determining an operating property of a pumpjack,   wherein the analysis device is designed to analyze a provided operating load-travel graph using the method as claimed in  claim 1  and to ascertain the operating property therefrom.   
     
     
         15 . A pump system for determining an operating property of a pumpjack, wherein the pumpjack comprises a pump head, which is connected to a kinematic converter via a rod system, and the kinematic converter is driven by a motor during operation, the pump system comprising:
 a recording device, designed to record and provide a load-travel graph relating to the pumpjack containing curve points, and   the analysis device as claimed in  claim 14  designed to ascertain the operating property from the provided operating load-travel graph.   
     
     
         16 . The method as claimed in  claim 5 ,
 wherein at least six ranges are determined.   
     
     
         17 . The method as claimed in  claim 5 ,
 wherein at least eight ranges are determined.   
     
     
         18 . The method as claimed in  claim 5 ,
 wherein the ranges are adjacent to one another.   
     
     
         19 . The method as claimed in  claim 10 ,
 wherein the operating curve points and the model curve points each have intervals between two adjacent points on the respective curves that are on average at least at least 80% of the greatest interval between two adjacent points on the respective curve.   
     
     
         20 . The method as claimed in  claim 10 ,
 wherein the operating curve points and the model curve points each have intervals between two adjacent points on the respective curves that are on average at least 95% of the greatest interval between two adjacent points on the respective curve.

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