Completion geomechanics production predictor for fracturing horizontal wells in reservoirs

Abstract

Methods and systems are configured for receiving well production data from fractured wells in a reservoir; estimating, using data from fracking tests on previous wells, values of geomechanics factors for the one or more fractured wells in the reservoir; generating, based on the well production data and the values of the geomechanics factors, a weighting value associated with each geomechanics factor, the weighting value relating a change in a short term production value of a fractured well to a change in the value of that geomechanics factor at the fractured well; selecting a horizontal well in the reservoir; generating fraccability predictor values representing ease of fracturing at respective intervals of the horizontal well; determining a production prediction for the horizontal well; and based on the production prediction, determining, a cluster spacing in the horizontal well, a stage depth in the horizontal well, or both.

What is claimed is: 
     
         1 . A method for configuring a well for hydraulic fracturing, the method comprising:
 receiving well production data from one or more fractured wells in a reservoir;   estimating, using data from fracking tests on previous wells, values of geomechanics factors for the one or more fractured wells in the reservoir;   generating, based on the well production data and the values of the geomechanics factors, a weighting value associated with each geomechanics factor for the reservoir, the weighting value relating a change in a short term production value of a fractured well to a change in the value of that geomechanics factor at the fractured well;   selecting a horizontal well in the reservoir;   generating fraccability predictor values representing ease of fracturing at respective intervals of the horizontal well, the fraccability predictor values each being based of the weighting value associated with each geomechanics factor for the reservoir;   determining based on the ease of fracturing represented by the fraccability predictor values of the respective intervals, a production prediction for the horizontal well; and   based on the production prediction for the horizontal well, determining a cluster spacing in the horizontal well, a stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well for performing hydraulic fracturing.   
     
     
         2 . The method of  claim 1 , further comprising:
 determining a well geometry for each of the one or more fractured wells in the reservoir;   determining a geometry weighting value relating the short term production value of the fractured well to the well geometry of the fractured well; and   generating the fraccability predictor values based on the geometry weighting value.   
     
     
         3 . The method of  claim 1 , wherein the values of the geomechanics factors include values of in-situ stresses and maximum horizontal stress directions of the one or more fractured wells in the reservoir. 
     
     
         4 . The method of  claim 1 , further comprising fracturing the horizontal well based on the cluster spacing in the horizontal well, the stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well. 
     
     
         5 . The method of  claim 1 , wherein the geomechanics factors include a borehole breakdown factor, a minimum horizontal stress factor, a vertical stress anisotropy factor, a minimum horizontal stress azimuth factor, a ductility factor, a horizontal stress anisotropy factor, an elastic and strength brittleness index factor, and a pore pressure factor. 
     
     
         6 . The method of  claim 1 , further comprising generating a prediction of a maximum production value for each of the respective intervals. 
     
     
         7 . The method of  claim 6 , wherein the prediction of the maximum production value for each of the respective intervals is normalized per choke. 
     
     
         8 . A system for configuring a well for hydraulic fracturing, the system comprising:
 at least one processor; and   a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
 receiving well production data from one or more fractured wells in a reservoir; 
 estimating, using data from fracking tests on previous wells, values of geomechanics factors for the one or more fractured wells in the reservoir; 
 generating, based on the well production data and the values of the geomechanics factors, a weighting value associated with each geomechanics factor for the reservoir, the weighting value relating a change in a short term production value of a fractured well to a change in the value of that geomechanics factor at the fractured well; 
 selecting a horizontal well in the reservoir; 
 generating fraccability predictor values representing ease of fracturing at respective intervals of the horizontal well, the fraccability predictor values each being based of the weighting value associated with each geomechanics factor for the reservoir; 
 determining based on the ease of fracturing represented by the fraccability predictor values of the respective intervals, a production prediction for the horizontal well; and 
 based on the production prediction for the horizontal well, determining a cluster spacing in the horizontal well, a stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well for performing hydraulic fracturing. 
   
     
     
         9 . The system of  claim 8 , further comprising:
 determining a well geometry for each of the one or more fractured wells in the reservoir;   determining a geometry weighting value relating the short term production value of the fractured well to the well geometry of the fractured well; and   generating the fraccability predictor values based on the geometry weighting value.   
     
     
         10 . The system of  claim 8 , wherein the values of the geomechanics factors include values of in-situ stresses and maximum horizontal stress directions of the one or more fractured wells in the reservoir. 
     
     
         11 . The system of  claim 8 , the operations further comprising fracturing the horizontal well based on the cluster spacing in the horizontal well, the stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well. 
     
     
         12 . The system of  claim 8 , wherein the geomechanics factors include a borehole breakdown factor, a minimum horizontal stress factor, a vertical stress anisotropy factor, a minimum horizontal stress azimuth factor, a ductility factor, a horizontal stress anisotropy factor, an elastic and strength brittleness index factor, and a pore pressure factor. 
     
     
         13 . The system of  claim 8 , the operations further comprising generating a prediction of a maximum production value for each of the respective intervals. 
     
     
         14 . The system of  claim 13 , wherein the prediction of the maximum production value for each of the respective intervals is normalized per choke. 
     
     
         15 . One or more non-transitory computer readable media storing instructions for configuring a well for hydraulic fracturing, the instructions, when executed by at least one processor, configured to cause the at least one processor to perform operations comprising:
 receiving well production data from one or more fractured wells in a reservoir;   estimating, using data from fracking tests on previous wells, values of geomechanics factors for the one or more fractured wells in the reservoir;   generating, based on the well production data and the values of the geomechanics factors, a weighting value associated with each geomechanics factor for the reservoir, the weighting value relating a change in a short term production value of a fractured well to a change in the value of that geomechanics factor at the fractured well;   selecting a horizontal well in the reservoir;   generating fraccability predictor values representing ease of fracturing at respective intervals of the horizontal well, the fraccability predictor values each being based of the weighting value associated with each geomechanics factor for the reservoir;   determining based on the ease of fracturing represented by the fraccability predictor values of the respective intervals, a production prediction for the horizontal well; and   based on the production prediction for the horizontal well, determining a cluster spacing in the horizontal well, a stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well for performing hydraulic fracturing.   
     
     
         16 . The one or more non-transitory computer readable media of  claim 15 , the operations further comprising:
 determining a well geometry for each of the one or more fractured wells in the reservoir;   determining a geometry weighting value relating the short term production value of the fractured well to the well geometry of the fractured well; and   generating the fraccability predictor values based on the geometry weighting value.   
     
     
         17 . The one or more non-transitory computer readable media of  claim 15 , wherein the values of the geomechanics factors include values of in-situ stresses and maximum horizontal stress directions of the one or more fractured wells in the reservoir. 
     
     
         18 . The one or more non-transitory computer readable media of  claim 15 , the operations further comprising fracturing the horizontal well based on the cluster spacing in the horizontal well, the stage depth in the horizontal well, or both the cluster spacing and the stage depth in the horizontal well. 
     
     
         19 . The one or more non-transitory computer readable media of  claim 15 , wherein the geomechanics factors include a borehole breakdown factor, a minimum horizontal stress factor, a vertical stress anisotropy factor, a minimum horizontal stress azimuth factor, a ductility factor, a horizontal stress anisotropy factor, an elastic and strength brittleness index factor, and a pore pressure factor. 
     
     
         20 . The one or more non-transitory computer readable media of  claim 15 , further comprising generating a prediction of a maximum production value for each of the respective intervals.