Automated mutual improvement of oilfield models

Abstract

Systems, methods, and computer-readable media are described for the mutual improvement of physics-based and data-driven models related to an oilfield. These may involve generating, via a processor, with an oilfield related condition as a first input, a first output based on one of a physics-based model or a data-based model; generating, using the first input or a second input, a second output based on the other of the physics-based model or the data-based model not used to generate the first output; and modifying, automatically, at least one of the physics-based model, data-driven model, the first input or the second input, based on the first output or second output.

What is claimed is: 
     
         1 . A method comprising:
 generating, via a processor, with an oilfield related condition as a first input, a first output based on one of a physics-based model or a data-based model;   generating, using the first input or a second input, a second output based on the other of the physics-based model or the data-based model not used to generate the first output; and   modifying, automatically, at least one of the physics-based model, data-driven model, the first input or the second input, based on the first output or second output.   
     
     
         2 . The method of  claim 1  wherein the first output and second output are generated in parallel. 
     
     
         3 . The method of  claim 1  wherein the first output and second output are generated in series. 
     
     
         4 . The method of  claim 3 , further comprising, subsequent generating the first output, obtaining measured data from the oilfield related to the first output. 
     
     
         5 . The method of  claim 4 , wherein the second output is generated based on the second input, and wherein the second input is at least one of the measured data, the first output, or a difference between the measured data and the first output. 
     
     
         6 . The method of  claim 5 , wherein the second input is at least one of the measured data, or the difference between the measured data and the first output, and the measured data is measured in real-time. 
     
     
         7 . The method of  claim 1 , wherein modifying at least one of the physics-based model or the data-driven model comprises replacement with a different respective physics-based model or data-driven model. 
     
     
         8 . The method of  claim 1 , wherein modifying the physic-based model comprises altering a variable within the model. 
     
     
         9 . The method of  claim 1 , further comprising determining a normal range for the first output based on the second output. 
     
     
         10 . The method of  claim 1 , wherein the first output is generated based on the physics-based model, and the second output is generated based on the data-driven model. 
     
     
         11 . The method of  claim 1 , further comprising assigning a confidence value to the first and second outputs. 
     
     
         12 . Then method of  claim 1 , wherein the method is conducted continuously in real-time. 
     
     
         13 . A system comprising:
 one or more processors; and   at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the one or more processors to:
 generate, via a processor, with an oilfield related condition as a first input, a first output based on one of a physics-based model or a data-based model; 
 generate, using the first input or a second input, a second output based on the other of the physics-based model or the data-based model not used to generate the first output; and 
 modify automatically at least one of the physics-based model, data-driven model, the first input or the second input, based on the first output or second output. 
   
     
     
         14 . The system of  claim 13 , the at least one computer-readable storage medium storing additional instructions which, when executed by the one or more processors, cause the one or more processors to: subsequent generating the first output, obtain measured data from the oilfield related to the first output. 
     
     
         15 . The system of  claim 14 , wherein the second output is generated based on the second input, and wherein the second input is at least one of the measured data, the first output, or a difference between the measured data and the first output. 
     
     
         16 . The system of  claim 13 , wherein modifying at least one of the physics-based model or the data-driven model comprises replacement with a different respective physics-based model or data-driven model. 
     
     
         17 . The system of  claim 13 , wherein modifying the physic-based model comprises altering a variable within the model. 
     
     
         18 . A non-transitory computer-readable storage medium comprising:
 instructions stored therein which, when executed by one or more processors, cause the one or more processors to:
 generate, via a processor, with an oilfield related condition as a first input, a first output based on one of a physics-based model or a data-based model; 
 generate, using the first input or a second input, a second output based on the other of the physics-based model or the data-based model not used to generate the first output; and 
 modify automatically at least one of the physics-based model, data-driven model, the first input or the second input, based on the first output or second output. 
   
     
     
         19 . The non-transitory computer-readable storage medium of  claim 18 , comprising additional instructions which, when executed by the one or more processors, cause the one or more processors to: subsequent generating the first output, obtain measured data from the oilfield related to the first output. 
     
     
         20 . The non-transitory computer-readable storage medium of  claim 19 , wherein the second output is generated based on the second input, and wherein the second input is at least one of the measured condition, the first output, or a difference between the measured data and the first output.