Use Of Bending Moment On Bit Measurements And Simulations To Determine Health Condition Of Push-The-Bit Rotary Steerable Systems And Assess Directional Drilling Capability

Abstract

A method and system for measuring health in a rotary steerable system (RSS). The method may include forming a bottom-hole assembly (BHA) model, taking a bending moment on bit (BOB) measurement from a sensor disposed in a BHA, and comparing the BOB measurement to the BHA model to determine if a steering actuator is malfunctioning, wherein the steering actuator is disposed on the BHA. The system may include at least one sensor disposed on the BHA, wherein the at least one sensor takes at least one bending moment on bit (BOB) measurement. Further, the system may include a plurality of steering actuators disposed on the BHA and an information handling system in communication with the BHA.

What is claimed is: 
     
         1 . A method, comprising:
 forming a bottom-hole assembly (BHA) model;   taking a bending moment on bit (BOB) measurement from a sensor disposed in a BHA; and   comparing the BOB measurement to the BHA model to determine if a steering actuator is malfunctioning, wherein the steering actuator is disposed on the BHA.   
     
     
         2 . The method of  claim 1 , further comprising creating a pattern recognition from the comparing of the BOB measurement and the BHA model. 
     
     
         3 . The method of  claim 2 , further comprising training a neural network (NN) with the pattern recognition to determine if the steering actuator is malfunctioning. 
     
     
         4 . The method of  claim 3 , further comprising taking a second measurement of the BOB with the sensor and inputting the second measurement into the NN to determine if one or more steering actuators disposed on the BHA are malfunctioning using the pattern recognition. 
     
     
         5 . The method of  claim 1 , further comprising creating a classification from the comparing of the BOB measurement and the BHA model. 
     
     
         6 . The method of  claim 5 , further comprising training a neural network (NN) with the classification to determine if the steering actuator is malfunctioning. 
     
     
         7 . The method of  claim 6 , further comprising taking a second measurement of the BOB with the sensor and inputting the second measurement into the NN to determine if one or more steering actuators disposed on the BHA are malfunctioning using the classification. 
     
     
         8 . The method of  claim 1 , wherein the BOB is at least partially altered by a force exerted by a steering actuator. 
     
     
         9 . The method of  claim 1 , further comprising applying a gravitational force measurement to the BHA model. 
     
     
         10 . The method of  claim 9 , further comprising transmitting if the steering actuator is malfunctioning from the BHA to personnel at surface. 
     
     
         11 . A system, comprising:
 a bottom-hole assembly (BHA) that comprises:
 at least one sensor disposed on the BHA, wherein the at least one sensor takes at least one bending moment on bit (BOB) measurement; and 
 a plurality of steering actuators disposed on the BHA; and 
   an information handling system in communication with the BHA and configured to:
 form a bottom-hole assembly (BHA) model; and 
 compare the at least one BOB measurement to the BHA model to determine if each of the plurality of steering actuators are malfunctioning. 
   
     
     
         12 . The system of  claim 11 , wherein the information handling system is further configured to create a pattern recognition from the comparing of the BOB measurement and the BHA model. 
     
     
         13 . The system of  claim 12 , wherein the information handling system is further configured to train a neural network (NN) with the pattern recognition to determine if any of the plurality of steering actuators are malfunctioning. 
     
     
         14 . The system of  claim 13 , wherein the at least one sensor takes a second measurement of the BOB with the sensor and inputs the second measurement into the NN to if any of the plurality of steering actuators are malfunctioning. 
     
     
         15 . The system of  claim 11 , wherein the information handling system is further configured to create a classification from the comparing of the BOB measurement and the BHA model. 
     
     
         16 . The system of  claim 15 , wherein the information handling system is further configured to train a neural network (NN) with the classification to determine if any of the plurality of steering actuators are malfunctioning. 
     
     
         17 . The system of  claim 16 , wherein the at least one sensor takes a second measurement of the BOB with the sensor and inputting the second measurement into the NN if any of the plurality of steering actuators are malfunctioning. 
     
     
         18 . The system of  claim 11 , wherein the BOB is at least partially altered by a force exerted by each of the plurality of steering actuators. 
     
     
         19 . The system of  claim 11 , wherein the information handling system is further configured to apply a gravitational force measurement to the BHA model. 
     
     
         20 . The system of  claim 19 , wherein the information handling system is further configured to transmit if any of the plurality of steering actuators are malfunctioning from the BHA to personnel at surface.