US2025361779A1PendingUtilityA1

Field operations framework

Assignee: SCHLUMBERGER TECHNOLOGY CORPPriority: May 24, 2024Filed: May 24, 2024Published: Nov 27, 2025
Est. expiryMay 24, 2044(~17.8 yrs left)· nominal 20-yr term from priority
E21B 2200/22E21B 2200/20E21B 21/003E21B 21/08E21B 44/00
42
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Claims

Abstract

A method can include generating a pill blend recommendation based at least in part on formation characteristics to mitigate formation loss of drilling fluid during drilling of a borehole, where the pill blend recommendation specifies a particle size distribution determined by a framework that relates historical pill blends and mitigation success; and, responsive to an indication of formation loss of drilling fluid during the drilling of the borehole, issuing an instruction to pump a pill blend formulated according to the pill blend recommendation.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 generating a pill blend recommendation based at least in part on formation characteristics to mitigate formation loss of drilling fluid during drilling of a borehole, wherein the pill blend recommendation specifies a particle size distribution determined by a framework that relates historical pill blends and mitigation success; and   responsive to an indication of formation loss of drilling fluid during the drilling of the borehole, issuing an instruction to pump a pill blend formulated according to the pill blend recommendation.   
     
     
         2 . The method of  claim 1 , further comprising:
 generating the framework by accessing reports for a number of wellsites, extracting data of the historical pill blends, extracting indicia of mitigation success, determining instances of mitigation success based at least in part on the indicia, and relating the extracted data of the historical pills to the instances of mitigation success.   
     
     
         3 . The method of  claim 2 , wherein the extracting indicia of mitigation success comprises utilizing one or more success criteria. 
     
     
         4 . The method of  claim 3 , wherein the one or more success criteria comprise resuming drilling after pumping of one of the pill blends. 
     
     
         5 . The method of  claim 1 , further comprising:
 generating a risk profile for one or more types of formation losses of drilling fluid, wherein the risk profile characterizes risk with respect to length of a trajectory of the borehole.   
     
     
         6 . The method of  claim 5 , wherein the trajectory of the borehole comprises at least a planned trajectory portion. 
     
     
         7 . The method of  claim 5 , further comprising:
 issuing one or more instructions for managing a drilling fluid system based at least in part on the risk profile.   
     
     
         8 . The method of  claim 1 , wherein the pill blend comprises lost circulation material. 
     
     
         9 . The method of  claim 8 , wherein the particle size distribution depends at least in part on concentration of the lost circulation material in the pill blend. 
     
     
         10 . The method of  claim 1 , wherein the particle size distribution depends on one or more formation loss of drilling fluid mechanisms. 
     
     
         11 . The method of  claim 10 , wherein the one or more formation loss of drilling fluid mechanisms comprise one or more of filtrate loss, fracture loss, and fault loss. 
     
     
         12 . The method of  claim 1 , wherein the framework comprises a trained machine learning model. 
     
     
         13 . The method of  claim 12 , wherein the trained machine learning model operates responsive to input of features to generate output, wherein the pill blend recommendation is based at least in part on the output. 
     
     
         14 . The method of  claim 13 , wherein the features comprise equipment-based features and formation-based features. 
     
     
         15 . The method of  claim 14 , wherein the equipment-based features comprise at least one bottom hole assembly-based feature. 
     
     
         16 . The method of  claim 1 , wherein the pill blend recommendation has an acceptably low risk of clogging one or more openings of a drillstring utilized for drilling the borehole. 
     
     
         17 . The method of  claim 1 , wherein the particle size distribution reduces volume demand for the pill blend. 
     
     
         18 . The method of  claim 17 , wherein the particle size distribution is based at least in part on volume-based D90, D50, and D10 values. 
     
     
         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:
 generate a pill blend recommendation based at least in part on formation characteristics to mitigate formation loss of drilling fluid during drilling of a borehole, wherein the pill blend recommendation specifies a particle size distribution determined by a framework that relates historical pill blends and mitigation success; and 
 responsive to an indication of formation loss of drilling fluid during the drilling of the borehole, issue an instruction to pump a pill blend formulated according to the pill blend recommendation. 
   
     
     
         20 . One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to:
 generate a pill blend recommendation based at least in part on formation characteristics to mitigate formation loss of drilling fluid during drilling of a borehole, wherein the pill blend recommendation specifies a particle size distribution determined by a framework that relates historical pill blends and mitigation success; and   responsive to an indication of formation loss of drilling fluid during the drilling of the borehole, issue an instruction to pump a pill blend formulated according to the pill blend recommendation.

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