Optimizing Well Management Policy

• US 20120130696A1
• Filed: 05/12/2010
• Published: 05/24/2012
• Est. Priority Date: 08/12/2009
• Status: Abandoned Application

• Current Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Original Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Inventors: McZeal, Cassandra M., Davidson, Jeffrey E., Carvallo, Federico, Lu, Pengbo
• Application Number:
  US13/382,835
• Publication Number:
  US 20120130696A1
• Time in Patent Office: Days
• US Class Current: 703/10
• CPC Class Codes: E21B 43/00 Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells applicable only to water E03B
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change

Abstract

A field operating policy for a subsurface region is optimized by setting initial policy parameters for the subsurface region. Fluid flow within a subsurface region is simulated, wherein the simulation includes optimizing an objective function for field operating policy, the objective function corresponding simultaneously to the modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter. Optimizing the objective function for field operating policy may include optimizing the initial policy parameters for the subsurface region with an over time optimization technique, wherein the policy parameters are optimized for a predetermined policy period. An enhanced value of the objective function is determined at each timestep within the predetermined policy period. The optimized policy parameters for the predetermined policy period may serve as constraints in the determination of an enhanced value of the objective function at each timestep within the predetermined policy period.

Claims

1. A method for optimizing field operating policy for a subsurface region, comprising:

setting initial policy parameters for the subsurface region;

simulating fluid flow within a subsurface region, including optimizing an objective function for field operating policy, the objective function corresponding simultaneously to modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter, wherein optimizing the objective function for field operating policy comprises;

optimizing the initial policy parameters for the subsurface region with an over-time optimization technique, wherein the policy parameters are optimized for a predetermined policy periods; and

determining an enhanced value of the objective function at each timestep within the predetermined policy period, wherein the optimized policy parameters for the predetermined policy period serve as constraints in the determination of an enhanced value of the objective function in the over time-time simulation.

2. The method according to claim 1, wherein the over-time optimization technique comprises at least one over-time optimization technique selected from the group consisting of:

simulated annealing, genetic algorithms, pattern-based searching, design of experiments, and any combination thereof.

3. The method according to claim 1, wherein the over-time optimization technique comprises an unconstrained, over-time optimization of the policy parameters for the policy period.

4. The method of claim 1, wherein determining the enhanced value of the objective function at each timestep comprises optimizing the objective function at each timestep with a specific-time optimization technique.

5. The method of claim 4, wherein the specific-time optimization technique comprises an optimized rate allocation optimization technique.

6. The method of claim 5, wherein determining the enhanced value of the objective function at each timestep utilizes well management logic.

7. The method of claim 1, wherein the field operating policy comprises an objective function for at least one optimal value selected from the group consisting of well rates over time, production rate from a production zone within the field, preferential production rates from one or more producing wells that have a specific gas-oil ratio (GOR), a particular water cut, a desired production capacity used to determine a need for drilling new producing wells or installing new surface or subsurface facilities, preferential injection rates or schedules for a portion within the field, and any combination thereof.

8. The method of claim 1, further comprising performing an additional timestep-specific reservoir simulation calculation at each timestep in the predetermined policy period.

9. The method of claim 9, wherein the additional timestep-specific reservoir simulation calculation comprises one or more calculations selected from the group consisting of matrix solution, fluid property calculations, and convergence checking.

10. A method for optimizing an over-time optimization problem with a hybrid-optimization technique, the hybrid-optimization technique comprising:

setting initial constraints and decision variables for an objective function defining an over-time optimization problem relating to a hydrocarbon or petrochemical industrial process;

optimizing the objective function by optimizing the decision variables for the objective function with an over-time optimization technique, wherein the decision variables are optimized for each of a plurality of predetermined policy periods; and

determining an enhanced value of the objective function at each timestep within each of the predetermined policy periods, wherein the optimized policy parameters for the predetermined policy period serve as constraints in the determination of an enhanced value of the objective function in the over-time simulation; and

altering a process control associated with the hydrocarbon or petrochemical industrial process based on the determined value of the objective function.

11. The method of claim 10, wherein the hybrid-optimization technique comprises an unconstrained, over-time optimization of policy parameters for each of the predetermined policy periods.

12. The method of claim 11, wherein determining the enhanced value of the objective function at each timestep comprises optimizing the objective function at each timestep with a specific-time optimization technique.

13. A tangible computer-readable storage medium having embodied thereon a computer program configured to, when executed by a processor, develop an optimized field operating policy for a subsurface region, the medium comprising one or more code segments configured to:

set initial policy parameters for the subsurface region;

simulate fluid flow within a subsurface region, including to optimize an objective function for field operating policy, the objective function corresponding simultaneously to modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter, wherein optimizing the objective function for field operating policy comprises;

optimize the initial policy parameters for the subsurface region with an over-time optimization technique, wherein the policy parameters are optimized for a predetermined policy period; and

determine an enhanced value of the objective function at each timestep within the predetermined policy period, wherein the optimized policy parameters for the predetermined policy period serve as constraints in the determination of an enhanced value of the objective function at each timestep within the predetermined policy period.

14. The tangible computer-readable storage medium of claim 14, the medium further comprising one or more code segments configured to determine the enhanced value of the objective function at each timestep with a specific-time optimization technique and wherein the over-time optimization technique comprises an unconstrained, over-time optimization of the policy parameters for at least one policy period.

15. A system for optimizing field operating policy for a subsurface region, comprising:

a processor;

a display unit operatively coupled to the processor; and

a memory operatively coupled to the processor, the processor being configured to;

set initial policy parameters for the subsurface region;

simulate fluid flow within a subsurface region, including optimizing an objective function for field operating policy, the objective function corresponding simultaneously to modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter, wherein optimizing the objective function for field operating policy comprises;

optimize the initial policy parameters for the subsurface region with an over-time optimization technique, wherein the policy parameters are optimized for a predetermined policy period; and

determine an enhanced value of the objective function at each timestep within the predetermined policy period, wherein the optimized policy parameters for the predetermined policy period serve as constraints in the determination of an enhanced value of the objective function at each timetep within the predetermined policy period.

16. The system of claim 15, wherein the system is operatively connected to production facilities associated with the subsurface region.

17. The system of claim 16, wherein the system is operatively configured to store and receive data collected from the production facilities and to send instructions to the production facilities for adjusting one or more process controls associated with the production facilities.

18. A method for decision support regarding development of petroleum resources, comprising:

optimizing a field operating policy for a subsurface region, wherein optimizing the field operating policy comprises;

setting initial policy parameters for the subsurface region;

simulating fluid flow within a subsurface region, including optimizing an objective function for field operating policy, the objective function corresponding simultaneously to modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter, wherein optimizing the objective function for field operating policy comprises;

optimizing the initial policy parameters for the subsurface region with an over-time optimization technique, wherein the policy parameters are optimized for a predetermined policy period; and

determining an enhanced value of the objective function at each timestep within the predetermined policy period, wherein the optimized policy parameters for the predetermined policy period serve as constraints in the determination of an enhanced value of the objective function at each timestep within the predetermined policy period; and

providing an optimized resource development plan generated based on the optimized field operating policy; and

producing hydrocarbons from the subsurface region according to the optimized resource development plan.

19. The method according of claim 18, wherein producing hydrocarbons comprises adjusting a process control associated with the subsurface region based on the optimized field operating policy.

20. The method according to claim 18, wherein the optimized field operating policy comprises an objective function for at least one optimal value selected from the group consisting of well rates over time, production rate from a production zone within the field, preferential production rates from one or more producing wells that have a specific gas-oil ratio (GOR), a particular water cut, a desired production capacity used to determine a need for drilling new producing wells or installing new surface or subsurface facilities, preferential injection rates or schedules for a portion within the field, and any combination thereof.