Automated workflow to optimize parameters for formation pressure measurements utilizing memoization

Abstract

The disclosed methods include: determining distribution data for a subsurface environment of interest; generating, based on the distribution data, a set of test scenarios; combining, based on the distribution data and a first test scenario comprised in the set of test scenarios, a first combination of fluid rate data and fluid volume data; combining, based on the distribution data and a second test scenario comprised in the set of test scenarios, a second combination of fluid rate data and fluid volume data; generating, based on the first combination of fluid rate data and fluid volume data, a first pressure curve; generating, based on the second combination of fluid rate data and fluid volume data, a second pressure curve; determining, based on the first pressure curve or the second pressure curve, convergence data; generating, based on the convergence data, optimal data values for configuring energy exploration equipment.

What is claimed is: 
     
         1 . A method for pressure testing to generate configuration data for energy development, the method comprising:
 determining distribution data for a subsurface environment of interest, the distribution data comprising probabilistic data values associated with analyzing the subsurface environment of interest based on one or more subsurface parameters;   generating, based on the distribution data, a set of test scenarios for the subsurface environment of interest, the set of test scenarios comprising data settings configured to approximate a likelihood that a first pressure test or a second pressure test is implementable at a random position about the subsurface environment of interest based on the one or more subsurface parameters;   combining, based on the distribution data and a first test scenario comprised in the set of test scenarios, a first combination of fluid rate data and fluid volume data;   combining, based on the distribution data and a second test scenario comprised in the set of test scenarios, a second combination of fluid rate data and fluid volume data;   generating, based on the first combination of fluid rate data and fluid volume data, a first pressure curve for the subsurface environment of interest;   generating, based on the second combination of fluid rate data and fluid volume data, a second pressure curve for the subsurface environment of interest;   determining, based on the first pressure curve and the second pressure curve, convergence data indicating a similarity between:
 a first pressure value comprised in the first pressure curve relative to a formation pressure value associated with the subsurface environment of interest, and 
 a second pressure value comprised in the second pressure curve relative to the formation pressure value associated with the subsurface environment of interest; 
   generating, based on the convergence data relative to the one or more subsurface parameters, optimal data values for energy exploration equipment associated with developing the subsurface environment of interest; and   initiating configuring the energy exploration equipment based on the optimal data values.   
     
     
         2 . The method of  claim 1 , wherein:
 the set of test scenarios for the subsurface environment of interest comprises a plurality pressure tests for the subsurface area of interest, and   the first pressure test and the second pressure test are comprised in the plurality of pressure tests.   
     
     
         3 . The method of  claim 2 , wherein a memoization process is implemented, based on the first pressure curve or the second pressure curve, to exclude the first pressure test or the second pressure test from subsequent pressure test determinations for the subsurface environment of interest relative to other pressure tests comprised in the plurality of pressure tests. 
     
     
         4 . The method of  claim 2 , wherein the first pressure test and the second pressure test are disentangled based on:
 a first environmental response associated with the first pressure test being unaffected by the second pressure test, and   a second environmental response associated with the second pressure test depending on a starting pressure associated with the second test independent of how the starting pressure is reached.   
     
     
         5 . The method of  claim 2 , wherein the first pressure test and the second pressure test are disentangled based on outcome data of the second pressure test depending on a final pressure value associated with the first pressure test and fluid rate data or fluid volume data of the second pressure test. 
     
     
         6 . The method of  claim 1 , wherein the subsurface environment of interest comprises a primary subsurface structure having one or more secondary subsurface structures. 
     
     
         7 . The method of  claim 6 , wherein:
 the primary subsurface structure comprises a basin, and   the one or more secondary subsurface structures comprise a reservoir.   
     
     
         8 . The method of  claim 1 , wherein the one or more subsurface parameters comprise:
 a fluid drawdown volume parameter configured for controlling or indicating a volume of fluid extracted from the subsurface environment of interest,   a fluid drawdown rate parameter configured for controlling or indicating a rate at which the volume of fluid is extracted, and   a fluid buildup time parameter configured for controlling or indicating a time for fluid build-up during extracting the fluid from the subsurface environment of interest relative to stabilizing a formation fluid pressure associated with the subsurface environment of interest.   
     
     
         9 . The method of  claim 1 , wherein the one or more parameters are associated with:
 an over balance parameter indicating a difference between mud pressure and formation pressure of the subsurface environment of interest,   a formation pressure indicating a fluid pressure of a formation under consideration associated with the subsurface environment of interest,   a density parameter indicating a bulk density of rock in the formation under consideration associated with the subsurface environment of interest,   a porosity parameter indicating a porosity of the rock in the formation under consideration associated with the subsurface environment of interest,   a viscosity parameter indicating a viscosity of fluid filling a pore space in the rock in the formation under consideration associated with the subsurface environment of interest,   a horizontal permeability parameter indicating a horizontal component of rock permeability,   a vertical permeability versus horizontal permeability ratio parameter indicating a ratio between a vertical permeability and the horizontal permeability of the rock in the formation under consideration associated with the subsurface environment of interest, and   a mud compressibility permeability parameter indicating a compressibility of mud filtrate associated with the subsurface environment of interest.   
     
     
         10 . The method of  claim 1 , further comprising generating, based on at least the first pressure curve or the second pressure curve, optimization data for improving executing one or more pressure tests associated with the first pressure curve or the second pressure curve. 
     
     
         11 . The method of  claim 10 , wherein the optimization data is applied to a machine learning engine to control generation of a third pressure curve associated with a resource site similar to, or distinct from the subsurface environment of interest. 
     
     
         12 . The method of  claim 1 , wherein the subsurface environment of interest is comprised in an oil field. 
     
     
         13 . A system for pressure testing to generate configuration data for energy development, the system comprising:
 a computer processor, and   memory storing a data processing engine that comprises instructions which are executable by the computer processor to:   determine distribution data for a subsurface environment of interest, the distribution data comprising probabilistic data values associated with analyzing the subsurface environment of interest based on one or more subsurface parameters;   generate, based on the distribution data, a set of test scenarios for the subsurface environment of interest, the set of test scenarios comprising data settings configured to approximate a likelihood that a first pressure test or a second pressure test is implementable at a random position about the subsurface environment of interest based on the one or more subsurface parameters;   combine, based on the distribution data and a first test scenario comprised in the set of test scenarios, a first combination of fluid rate data and fluid volume data;   combine, based on the distribution data and a second test scenario comprised in the set of test scenarios, a second combination of fluid rate data and fluid volume data;   generate, based on the first combination of fluid rate data and fluid volume data, a first pressure curve for the subsurface environment of interest;   generate, based on the second combination of fluid rate data and fluid volume data, a second pressure curve for the subsurface environment of interest;   determine, based on the first pressure curve and the second pressure curve, convergence data indicating a similarity between:
 a first pressure value comprised in the first pressure curve relative to a formation pressure value associated with the subsurface environment of interest, and 
 a second pressure value comprised in the second pressure curve relative to the formation pressure value associated with the subsurface environment of interest; 
   generate, based on the convergence data relative to the one or more subsurface parameters, optimal data values for energy exploration equipment associated with developing the subsurface environment of interest; and   initiate configuring the energy exploration equipment based on the optimal data values.   
     
     
         14 . The system of  claim 13 , wherein:
 the set of test scenarios for the subsurface environment of interest comprises a plurality pressure tests for the subsurface area of interest, and   the first pressure test and the second pressure test are comprised in the plurality of pressure tests.   
     
     
         15 . The system of  claim 14 , wherein a memoization process is implemented, based on the first pressure curve or the second pressure curve, to exclude the first pressure test or the second pressure test from subsequent pressure test determinations for the subsurface environment of interest relative to other pressure tests comprised in the plurality of pressure tests. 
     
     
         16 . The system of  claim 14 , wherein the first pressure test and the second pressure test are disentangled based on:
 a first environmental response associated with the first pressure test being unaffected by the second pressure test, and   a second environmental response associated with the second pressure test depending on a starting pressure associated with the second test independent of how the starting pressure is reached.   
     
     
         17 . The system of  claim 14 , wherein the first pressure test and the second pressure test are disentangled based on outcome data of the second pressure test depending on a final pressure value associated with the first pressure test and fluid rate data or fluid volume data of the second pressure test. 
     
     
         18 . The system of  claim 13 , wherein the instructions are executable to generate, based on at least the first pressure curve or the second pressure curve, optimization data for improving executing one or more pressure tests associated with the first pressure curve or the second pressure curve. 
     
     
         19 . The system of  claim 18 , wherein the optimization data is applied to a machine learning engine to control generation of a third pressure curve associated with a resource site similar to, or distinct from the subsurface environment of interest. 
     
     
         20 . The system of  claim 13 , wherein the subsurface environment of interest is comprised in an oil field.