US2026028880A1PendingUtilityA1

Directional drilling framework

Assignee: SCHLUMBERGER TECHNOLOGY CORPPriority: Aug 17, 2023Filed: Oct 6, 2025Published: Jan 29, 2026
Est. expiryAug 17, 2043(~17.1 yrs left)· nominal 20-yr term from priority
E21B 2200/20E21B 47/005E21B 44/00E21B 7/04E21B 2200/22
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Claims

Abstract

A system and method that may include receiving real-time downhole data from one or more sensors of a drillstring disposed in a borehole in a subsurface geologic region during a directional drilling operation. The system and method also include selecting a drillstring drilling mode from a plurality of drillstring drilling modes. The system and method may additionally include predicting, in real-time, characteristics of a hole bottom of the borehole using the drilling mode model and at least a portion of the real-time downhole data. The system and method may further include controlling the directional drilling operation using one or more of the characteristics.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 operating a controller that controls directional drilling equipment to extend a borehole in a subsurface environment using a selected drilling mode;   operating an adaptive filter framework for automatic detection of the selected drilling mode;   responsive to the automatic detection of the selected drilling mode, automatically adapting the adaptive filter framework by selecting a filter from a number of different filters;   operating the adaptive filter framework using the selected filter to generate a hole bottom characteristic for the borehole using sensor data; and   further operating the controller using the hole bottom characteristic to control the directional drilling equipment to extend the borehole in a desired direction.   
     
     
         2 . The method of  claim 1 , wherein the number of different filters comprises a hold inclination filter. 
     
     
         3 . The method of  claim 1 , wherein the number of different filters comprises a hold inclination and azimuth filter. 
     
     
         4 . The method of  claim 1 , wherein the number of different filters comprises a build and turn filter. 
     
     
         5 . The method of  claim 1 , wherein the number of different filters comprises a mud motor sliding mode filter. 
     
     
         6 . The method of  claim 1 , wherein the number of different filters comprises a mud motor rotation mode filter. 
     
     
         7 . The method of  claim 1 , wherein the number of different filters comprises RSS tool mode filters wherein each RSS tool mode has a corresponding RSS tool mode filter. 
     
     
         8 . The method of  claim 1 , wherein the number of different filters comprise a blind mode filter. 
     
     
         9 . The method of  claim 8 , wherein the blind mode filter is operable with the sensor data. 
     
     
         10 . The method of  claim 1 , wherein the adaptive filter framework comprises a decision component for detecting additional sensor data. 
     
     
         11 . The method of  claim 10 , comprising, responsive to detecting additional sensor data, performing an update process to adjust the hole bottom characteristic. 
     
     
         12 . The method of  claim 11 , wherein the update process comprises utilizing data from a last known static survey. 
     
     
         13 . The method of  claim 1 , wherein the hole bottom characteristic comprises a hole bottom position. 
     
     
         14 . The method of  claim 13 , wherein the hole bottom position comprises a depth, an azimuth angle, and an inclination angle. 
     
     
         15 . The method of  claim 1 , wherein the hole bottom characteristic comprises estimated variances. 
     
     
         16 . The method of  claim 1 , comprising transmitting the sensor data using mud-pulse telemetry. 
     
     
         17 . The method of  claim 16 , comprising, responsive to a transmission issue for the sensor data using mud-pulse telemetry, automatically selecting a blind mode filter. 
     
     
         18 . The method of  claim 1 , wherein the number of different filters comprises one or more of a linear regression filter and a Kalman filter. 
     
     
         19 . A system comprising:
 one or more processors;   memory accessible to at least one of the one or more processors;   processor-executable instructions stored in the memory and executable to instruct the system to:
 operate a controller that controls directional drilling equipment to extend a borehole in a subsurface environment using a selected drilling mode; 
 operate an adaptive filter framework for automatic detection of the selected drilling mode; 
 responsive to the automatic detection of the selected drilling mode, automatically adapt the adaptive filter framework by selecting a filter from a number of different filters; 
 operate the adaptive filter framework using the selected filter to generate a hole bottom characteristic for the borehole using sensor data; and 
 further operate the controller using the hole bottom characteristic to control the directional drilling equipment to extend the borehole in a desired direction. 
   
     
     
         20 . One or more non-transitory computer-readable storage media comprising processor-executable instructions to instruct a computing system to:
 operate a controller that controls directional drilling equipment to extend a borehole in a subsurface environment using a selected drilling mode;   operate an adaptive filter framework for automatic detection of the selected drilling mode;   responsive to the automatic detection of the selected drilling mode, automatically adapt the adaptive filter framework by selecting a filter from a number of different filters;   operate the adaptive filter framework using the selected filter to generate a hole bottom characteristic for the borehole using sensor data; and   further operate the controller using the hole bottom characteristic to control the directional drilling equipment to extend the borehole in a desired direction.

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