Oilfield management method and system

1. A method for oilfield management comprising:

obtaining a binary variable array describing a plurality of configurable elements of an oilfield design;

partitioning the binary variable array into a plurality of subgroups;

applying a first transformation function to each subgroup of the plurality of subgroups to obtain an integer variable for each subgroup of the plurality of subgroups;

solving an optimization problem on the binary variable array by treating the integer variable as a continuous variable to obtain a first solution;

applying the first transformation function of each subgroup to the first solution to obtain a design pattern;

generating the oilfield design based on the design pattern; and

performing an oilfield operation according to the oilfield design.

2. The method of claim 1 , wherein solving the optimization problem comprises:

generating a proposed configuration of the plurality of configurable elements over continuous space;

converting the proposed configuration to binary space based on the first transformation function of each subgroup of the plurality of subgroups; and

evaluating the proposed configuration using an objective function to obtain a value of the objective function.

3. The method of claim 2 , further comprising:

selecting a subsequent configuration when the value of the objective function does not converge;

repeating the converting, the evaluating, the determining, and the selecting until the value of the objective function converges; and

selecting, as the first solution, an optimal configuration corresponding to the value of the objective function when the value of the objective function converges.

4. The method of claim 1 , further comprising:

obtaining a hierarchy of a plurality of levels of complexity of the plurality of configurable elements of the oilfield design, wherein the first solution is obtained for a first level of the plurality of levels of complexity;

solving, separately for at least a subset of the plurality of levels of complexity, the optimization problem to obtain a second solution corresponding to each level in the subset;

selecting, from the second solution corresponding to each level in the subset and the first solution, the first solution.

5. The method of claim 4 , wherein the first solution is selected based, at least in part, on a value of an objective function when the first solution is used.

6. The method of claim 4 , wherein the optimization problem is solved given a maximum number of iterations.

7. The method of claim 1 , wherein the first transformation function applied to a first subgroup of the plurality of subgroups is different than the first transformation function applied to a second subgroup of the plurality of subgroups.

8. The method of claim 1 , further comprising:

applying a second transformation function to each subgroup of the plurality of subgroups;

wherein solving the optimization problem comprises:

generating, for the first transformation function, a first proposed configuration in continuous space;

generating, for the second transformation function, a second proposed configuration in continuous space;

converting the first proposed configuration to binary space based on the first transformation function of each subgroup of the plurality of subgroups;

converting the second proposed configuration to binary space based on the second transformation function of each subgroup of the plurality of subgroups; and

evaluating the first proposed configuration using an objective function to obtain a first value of the objective function;

evaluating the second proposed configuration using the objective function to obtain a second value of the objective function; and

selecting, for the first transformation function, a subsequent sample configuration using the first value, the second value, the first proposed configuration, and the second proposed configuration.

9. A system for oilfield management comprising:

a computer processor;

an oilfield design tool that, when executes on the computer processor:

obtains a binary variable array describing a plurality of configurable elements of an oilfield design;

partitions the binary variable array into a plurality of subgroups;

applies a transformation function to each subgroup of the plurality of subgroups to obtain an integer variable for each subgroup of the plurality of subgroups;

applies the transformation function of each subgroup to a first solution to obtain a design pattern, and

generates the oilfield design based on the design pattern;

a solver that, when executes on the computer processor:

solves an optimization problem on the binary variable array by treating the integer variable as a continuous variable to obtain the first solution; and

an equipment controller for: transmitting a control signal to perform an oilfield operation based on the oilfield design.

10. The system of claim 9 , further comprising: oilfield equipment for: receiving the control signal; and performing the oilfield operation.

11. The system of claim 9 , further comprising:

an oilfield simulator that, when executes by the computer processor:

evaluates a proposed configuration using an objective function to obtain a value of the objective function,

wherein solving the optimization problem by the solver comprises:

generating the proposed configuration of the plurality of configurable elements over continuous space; and

converting the proposed configuration to binary space based on the transformation function of each subgroup of the plurality of subgroups.

12. The system of claim 9 , further comprising:

a data repository configured to store an objective function, the transformation function, and the oilfield design.

13. A non-transitory computer readable medium for oilfield management comprising computer readable program code for:

obtaining a binary variable array describing a plurality of configurable elements of an oilfield design;

partitioning the binary variable array into a plurality of subgroups;

applying a first transformation function to each subgroup of the plurality of subgroups to obtain an integer variable for each subgroup of the plurality of subgroups;

solving an optimization problem on the binary variable array by treating the integer variable as a continuous variable to obtain a first solution;

applying the first transformation function of each subgroup to the first solution to obtain a design pattern;

generating the oilfield design based on the design pattern; and

performing an oilfield operation according to the oilfield design.

14. The non-transitory computer readable medium of claim 13 , wherein solving the optimization problem comprises:

generating a proposed configuration of the plurality of configurable elements over continuous space;

converting the proposed configuration to binary space based on the first transformation function of each subgroup of the plurality of subgroups; and

evaluating the proposed configuration using an objective function to obtain a value of an objective function.

15. The non-transitory computer readable medium of claim 14 , further comprising computer readable program code for:

selecting a subsequent configuration when the value of the objective function does not converge;

repeating the converting, the evaluating, the determining, and the selecting until the value of the objective function converges; and

selecting, as the first solution, an optimal configuration corresponding to the value of the objective function when the value of the objective function converges.

16. The non-transitory computer readable medium of claim 13 , further comprising computer readable program code for:

obtaining a hierarchy of a plurality of levels of complexity of the plurality of configurable elements of the oilfield design, wherein the first solution is obtained for a first level of the plurality of levels of complexity;

solving, separately for at least a subset of the plurality of levels of complexity, the optimization problem to obtain a second solution corresponding to each level in the subset;

selecting, from the second solution corresponding to each level in the subset and the first solution, the first solution.

17. The non-transitory computer readable medium of claim 13 , further comprising computer readable program code for:

applying a second transformation function to each subgroup of the plurality of subgroups;

wherein solving the optimization problem comprises:

generating, for the first transformation function, a first proposed configuration in continuous space;

generating, for the second transformation function, a second proposed configuration in continuous space;

converting the first proposed configuration to binary space based on the first transformation function of each subgroup of the plurality of subgroups;

converting the second proposed configuration to binary space based on the second transformation function of each subgroup of the plurality of subgroups; and

evaluating the first proposed configuration using an objective function to obtain a first value of the objective function;

evaluating the second proposed configuration using the objective function to obtain a second value of the objective function; and

selecting, for the first transformation function, a subsequent sample configuration using the first value, the second value, the first proposed configuration, and the second proposed configuration.