Optimizing hydrocarbon recovery through integrated utilization of geomechanics and injection/production using machine learning

Abstract

Systems and methods include a computer-implemented method for optimized injection/production and placement of wells. Stress change correlations are received over space and time for injection/production of fluids to/from a reservoir. A stress distribution of the reservoir is determined using reservoir geomechanical modeling tools and stress change correlations. Fracture growth/propagation behavior for the reservoir is determined using fracture modeling software and geomechanical properties for optimizing treatment. Fracture design and orientation needed for optimum recovery of hydrocarbons are determined by analyzing relationships between fluid injection/withdrawal and geomechanical changes and stress distribution, reservoir geomechanical, and flow characteristics. Changes in the stress distribution in the reservoir are determined through injection/production of fluids. An optimized injection/production and placement of wells are determined using the changes in the stress distribution and the fracture design and orientation. An optimum stress distribution for placement of new wells is determined using the optimized injection/production and placement of wells.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 receiving stress change correlations over space and time for injection/production of fluids to/from a reservoir;   determining, using reservoir geomechanical modeling tools and using the stress change correlations, a stress distribution of the reservoir;   determining, using fracture modeling software and geomechanical properties for optimizing treatment, fracture growth/propagation behavior for the reservoir using the stress distribution of the reservoir;   determining fracture design and orientation needed for optimum recovery of hydrocarbons by analyzing relationships between fluid injection/withdrawal and geomechanical changes and the stress distribution, reservoir geomechanical and flow characteristics;   determining changes in the stress distribution in the reservoir through injection/production of fluids;   determining, using the changes in the stress distribution and the fracture design and orientation, an optimized injection/production and placement of wells, including using machine learning adjust injection and production of fluids to/from the reservoir; and   determining, using the optimized injection/production and placement of wells, an optimum stress distribution for placement of new wells and fractures in terms of orientation and size to maximize recovery of hydrocarbons.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a plot showing a single well pressure distribution for a single well model. 
     
     
         3 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a diagram showing a grid investigated for shear strain and shear stress. 
     
     
         4 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a three-dimensional (3D) plot showing different phenomena of shear strain between a toe and a heel of a well within an IJ direction. 
     
     
         5 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a plot showing a gas saturation distribution of a parent well and a child well. 
     
     
         6 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a 3D plot of shear strain in a parent well and a child well. 
     
     
         7 . The computer-implemented method of  claim 1 , further comprising generating, for display in a user interface, a 3D plot of shear stress in a parent well and a child well. 
     
     
         8 . A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:
 receiving stress change correlations over space and time for injection/production of fluids to/from a reservoir;   determining, using reservoir geomechanical modeling tools and using the stress change correlations, a stress distribution of the reservoir;   determining, using fracture modeling software and geomechanical properties for optimizing treatment, fracture growth/propagation behavior for the reservoir using the stress distribution of the reservoir;   determining fracture design and orientation needed for optimum recovery of hydrocarbons by analyzing relationships between fluid injection/withdrawal and geomechanical changes and the stress distribution, reservoir geomechanical and flow characteristics;   determining changes in the stress distribution in the reservoir through injection/production of fluids;   determining, using the changes in the stress distribution and the fracture design and orientation, an optimized injection/production and placement of wells, including using machine learning adjust injection and production of fluids to/from the reservoir; and   determining, using the optimized injection/production and placement of wells, an optimum stress distribution for placement of new wells and fractures in terms of orientation and size to maximize recovery of hydrocarbons.   
     
     
         9 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a plot showing a single well pressure distribution for a single well model. 
     
     
         10 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a diagram showing a grid investigated for shear strain and shear stress. 
     
     
         11 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a three-dimensional (3D) plot showing different phenomena of shear strain between a toe and a heel of a well within an IJ direction. 
     
     
         12 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a plot showing a gas saturation distribution of a parent well and a child well. 
     
     
         13 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a 3D plot of shear strain in a parent well and a child well. 
     
     
         14 . The non-transitory, computer-readable medium of  claim 8 , the operations further comprising generating, for display in a user interface, a 3D plot of shear stress in a parent well and a child well. 
     
     
         15 . A computer-implemented system, comprising:
 one or more processors; and   a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:
 receiving stress change correlations over space and time for injection/production of fluids to/from a reservoir; 
 determining, using reservoir geomechanical modeling tools and using the stress change correlations, a stress distribution of the reservoir; 
 determining, using fracture modeling software and geomechanical properties for optimizing treatment, fracture growth/propagation behavior for the reservoir using the stress distribution of the reservoir; 
 determining fracture design and orientation needed for optimum recovery of hydrocarbons by analyzing relationships between fluid injection/withdrawal and geomechanical changes and the stress distribution, reservoir geomechanical and flow characteristics; 
 determining changes in the stress distribution in the reservoir through injection/production of fluids; 
 determining, using the changes in the stress distribution and the fracture design and orientation, an optimized injection/production and placement of wells, including using machine learning adjust injection and production of fluids to/from the reservoir; and 
 determining, using the optimized injection/production and placement of wells, an optimum stress distribution for placement of new wells and fractures in terms of orientation and size to maximize recovery of hydrocarbons. 
   
     
     
         16 . The computer-implemented system of  claim 15 , the operations further comprising generating, for display in a user interface, a plot showing a single well pressure distribution for a single well model. 
     
     
         17 . The computer-implemented system of  claim 15 , the operations further comprising generating, for display in a user interface, a diagram showing a grid investigated for shear strain and shear stress. 
     
     
         18 . The computer-implemented system of  claim 15 , the operations further comprising generating, for display in a user interface, a three-dimensional (3D) plot showing different phenomena of shear strain between a toe and a heel of a well within an IJ direction. 
     
     
         19 . The computer-implemented system of  claim 15 , the operations further comprising generating, for display in a user interface, a plot showing a gas saturation distribution of a parent well and a child well. 
     
     
         20 . The computer-implemented system of  claim 15 , the operations further comprising generating, for display in a user interface, a 3D plot of shear strain in a parent well and a child well.