Wellbore fracturing treatment based on real-time modeling

Abstract

A hydraulic fracturing system and method identifies, for each of two or more segments of a hydraulic fracturing treatment applied downhole in a wellbore, at least one contributing factor that leads to a fracturing event during each respective segment, applies pattern recognition to fracturing data associated with one or more monitoring wells to identify at least one precursor for each of the contributing factors of a selected fracturing event, determines, based on the identified at least one precursor for each of the contributing factors of the selected fracturing event, whether the selected fracturing event is likely to occur in the wellbore.

What is claimed is: 
     
         1 . A method, comprising:
 identifying, for each of two or more segments of a hydraulic fracturing treatment applied downhole in a wellbore, at least one contributing factor that leads to a fracturing event during each respective segment;   applying pattern recognition to fracturing data associated with one or more monitoring wells to identify at least one precursor for each of the contributing factors of a selected fracturing event;   determining, based on the identified at least one precursor for each of the contributing factors of the selected fracturing event, whether the selected fracturing event is likely to occur in the wellbore; and   modifying parameters of the hydraulic fracturing treatment to compensate for the selected fracturing event.   
     
     
         2 . The method of  claim 1 , wherein the fracturing event and the at least one contributing factor are associated with at least one of the two or more fracturing segments. 
     
     
         3 . The method of  claim 1 , wherein applying pattern recognition to fracturing data to identify at least one precursor for each of the contributing factors includes applying data analytics to the fracturing data. 
     
     
         4 . The method of  claim 1 , further comprising directing at least one action to change likelihood of the selected fracturing event occurring. 
     
     
         5 . The method of  claim 4 , wherein directing the at least one action includes directing the at least one action that increases likelihood of the selected fracturing event occurring. 
     
     
         6 . The method of  claim 4 , wherein directing the at least one action includes directing the at least one action that decreases likelihood of the selected fracturing event occurring. 
     
     
         7 . The method of  claim 4 , wherein the fracturing event and the at least one contributing factor are associated with the one or more segments. 
     
     
         8 . The method of  claim 4 , wherein identifying the at least one precursor for each of the at least one contributing factor includes applying at least one of data analytics or pattern recognition to fracturing data to identify the at least one precursor for each of the contributing factors. 
     
     
         9 . A well stimulation system, comprising:
 at least one pump configured to pressurize fracturing fluid received from a fluid source and to direct the pressurized fracturing fluid down a borehole to a reservoir formation; and   one or more monitoring wells in the reservoir formation and in proximity to the borehole, each monitoring well including one or more sensors; and   a computer system having a processor and a memory, the memory including instructions that, when executed by the processor, cause the processor to:
 identify, for each of two or more segments of a hydraulic fracturing treatment applied downhole in a wellbore, at least one contributing factor that leads to a fracturing event during each respective stage or segments within a stage; 
 apply pattern recognition to fracturing data associated with the one or more monitoring wells to identify at least one precursor for each of the contributing factors of a selected fracturing event; 
 determine, based on the identified at least one precursor for each of the contributing factors of the selected fracturing event, if the selected fracturing event is likely to occur in the wellbore; and 
 modify parameters of the hydraulic fracturing treatment to compensate for the selected fracturing event. 
   
     
     
         10 . The well stimulation system of  claim 9 , wherein the instructions that apply pattern recognition to fracturing data associated with the one or more monitoring wells to identify at least one precursor for each of the contributing factors further include instructions that, when executed by the computer, cause the computer to apply applying data analytics to the fracturing data to identify the at least one precursor for each of the contributing factors. 
     
     
         11 . The well stimulation system of  claim 9 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action to change likelihood of the fracturing event occurring. 
     
     
         12 . The well stimulation system of  claim 9 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action that increases likelihood of the event occurring. 
     
     
         13 . The well stimulation system of  claim 9 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action that decreases likelihood of the event occurring. 
     
     
         14 . The well stimulation system of  claim 9 , wherein identifying the at least one precursor for each of the at least one contributing factor includes applying at least one of data analytics or pattern recognition to fracturing data to identify the at least one precursor for each of the contributing factors. 
     
     
         15 . A non-transitory computer readable medium configured to store instructions that are executable by a processor, the instructions comprising:
 instructions to identify, for each of two or more segments of a hydraulic fracturing treatment applied downhole in a wellbore, at least one contributing factor that leads to a fracturing event during each respective stage or segments within a stage;   instructions to apply pattern recognition to fracturing data associated with one or more monitoring wells to identify at least one precursor for each of the contributing factors of a selected fracturing event;   instructions to determine, based on the identified at least one precursor for each of the contributing factors of the selected fracturing event, if the selected fracturing event is likely to occur in the wellbore; and   instructions to modify parameters of the hydraulic fracturing treatment to compensate for the selected fracturing event.   
     
     
         16 . The non-transitory computer readable medium of  claim 15 , wherein the selected fracturing event and the respective contributing factors are associated with one or more of the segments. 
     
     
         17 . The non-transitory computer readable medium of  claim 15 , wherein the instructions that identify precursors for each contributing factor further include instructions that, when executed by the computer, cause the computer to apply data analytics to fracturing data to identify the at least one precursor for each of the respective contributing factors. 
     
     
         18 . The non-transitory computer readable medium of  claim 15 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action to change likelihood of the selected fracturing event occurring. 
     
     
         19 . The non-transitory computer readable medium of  claim 15 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action that increases likelihood of the selected fracturing event occurring. 
     
     
         20 . The non-transitory computer readable medium of  claim 15 , wherein the instructions further comprise instructions that, when executed by the computer, direct at least one action that decreases likelihood of the selected fracturing event occurring.