System and method of generating and implementing outputs for a drilling rig using a well construction knowledge mining system based on well construction data

Abstract

A system and method of building a well construction knowledge mining system using an artificial intelligence ("AI") model and a plurality of databases, the method comprising: accessing, within the plurality of databases, a set of well construction files; wherein the set of well construction files comprise files in a plurality of formats; and wherein the set of well construction files comprise data relating to well construction operations; preprocessing the set of well construction files to generate a training data set, comprising: reformatting at least a portion of the data to standardized machine-readable data; labeling data in the machine-readable files using the model; and cleaning the data; and training the model, using supervised and unsupervised learning and the training data set, to build the well construction knowledge mining system.

What is claimed is: 
     
         1 . A method of building a well construction knowledge mining system using an artificial intelligence ("AI") model and a plurality of databases, the method comprising:  
       accessing, within the plurality of databases, a set of well construction files; 
       wherein the set of well construction files comprise files in a plurality of formats; and 
       wherein the set of well construction files comprise data relating to well construction operations; 
       preprocessing the set of well construction files to generate a training data set, comprising: 
 reformatting at least a portion of the data to standardized machine-readable data;  
 labeling data in the machine-readable files using the model; and 
 cleaning the data; 
 
       and 
       training the model, using supervised and unsupervised learning and the training data set, thereby building the well construction knowledge mining system.  
     
     
         2 . The method of  claim 1 , further comprising: 
 receiving well construction data associated with a rig activity;   providing, as input to the trained model, the well construction data;   predicting, by the trained model and based on the well construction data, a future rig activity; and   generating, by the trained model, output that is directed to the future rig activity.   
     
     
         3 . The method of  claim 2 , further comprising automatically controlling, by a controller of a rig and in response to the output, at least a portion of the rig based on the output. 
     
     
         4 . The method of  claim 2 , wherein the output comprises an advisory relating to the future rig activity.  
     
     
         5 . The method of  claim 4 , wherein the advisory comprises a recommended action. 
     
     
         6 . The method of  claim 2 , wherein the data relating to well construction operations comprises: 
 data generated in response to a safety incident involving a personnel associated with a drilling rig; and   data that identifies: the role of the personnel, the area where the incident occurred, and whether an external parameter is associated with the safety incident.   
     
     
         7 . The method of  claim 2 ,  
       wherein the data relating to well construction operations comprises data generated in response a maintenance task associated with equipment;  
       wherein the future rig activity is associated with rig equipment; and 
       wherein the output that is directed to the future rig activity comprises a recommendation to perform maintenance on the rig equipment. 
     
     
         8 . The method of  claim 2 , wherein the set of well construction files comprises:  
       data generated in response a maintenance task associated with equipment; and 
       data generated to record equipment failure and data associated with a recording system and run-time logs from a drilling rig. 
     
     
         9 . The method of  claim 2 ,  
       wherein the rig activity comprises a drilling activity; 
       wherein the well construction data comprises downhole data; 
       wherein the downhole data comprises formation data generated during the drilling activities; and 
       wherein the output comprises: 
 a formation related prediction; and 
 target drilling instructions based on the formation related prediction. 
 
     
     
         10 . The method of  claim 1 , wherein the model comprises a retrieval-augmented generation model. 
     
     
         11 . A system configured to build a well construction knowledge mining system using an artificial intelligence ("AI") model and a plurality of databases, the system comprising a non-transitory computer readable medium having stored thereon a plurality of instructions, wherein the instructions are executed with one or more processors so that the following steps are executed:  
       accessing, within the plurality of databases, a set of well construction files; 
       wherein the set of well construction files comprise files in a plurality of formats; and 
       wherein the set of well construction files comprise data relating to well construction operations; 
       preprocessing the set of well construction files to generate a training data set, comprising: 
 reformatting at least a portion of the data to standardized machine-readable data;  
 labeling data in the machine-readable files using the model; and 
 cleaning the data; 
 
       and 
       training the model, using supervised and unsupervised learning and the training data set, thereby building the well construction knowledge mining system.  
     
     
         12 . The system of  claim 11 , wherein the instructions are executed with one or more processors so that the following steps are executed: 
 receiving well construction data associated with a rig activity;   providing, as input to the trained model, the well construction data;   predicting, by the trained model and based on the well construction data, a future rig activity; and   generating, by the trained model, output that is directed to the future rig activity.   
     
     
         13 . The system of  claim 12 , wherein the instructions are executed with one or more processors so that the following step is executed: automatically controlling, by a controller of a rig and in response to the output, at least a portion of the rig based on the output. 
     
     
         14 . The system of  claim 12 , wherein the output comprises an advisory relating to the future rig activity.  
     
     
         15 . The system of  claim 14 , wherein the advisory comprises a recommended action. 
     
     
         16 . The system of  claim 12 , wherein the data relating to well construction operations comprises: 
 data generated in response to a safety incident involving a personnel associated with a drilling rig; and   data that identifies: the role of the personnel, the area where the incident occurred, and whether an external parameter is associated with the safety incident.   
     
     
         17 . The system of  claim 12 ,  
       wherein the data relating to well construction operations comprises data generated in response a maintenance task associated with equipment;  
       wherein the future rig activity is associated with rig equipment; and 
       wherein the output that is directed to the future rig activity comprises a recommendation to perform maintenance on the rig equipment. 
     
     
         18 . The system of  claim 12 , wherein the set of well construction files comprises:  
       data generated in response a maintenance task associated with equipment; and 
       data generated to record equipment failure and data associated with a recording system and run-time logs from a drilling rig. 
     
     
         19 . The system of  claim 12 , 
       wherein the rig activity comprises a drilling activity; 
       wherein the well construction data comprises downhole data; 
       wherein the downhole data comprises formation data generated during the drilling activities; and 
       wherein the output comprises: 
 a formation related prediction; and 
 target drilling instructions based on the formation related prediction. 
 
     
     
         20 . The system of  claim 11 , wherein the model comprises a retrieval-augmented generation model.