Optimizing Well Management Policy
First Claim
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.
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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.
12 Citations
20 Claims
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1. A method for optimizing field operating policy for a subsurface region, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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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.
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10. A method for optimizing an over-time optimization problem with a hybrid-optimization technique, the hybrid-optimization technique comprising:
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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. - View Dependent Claims (11, 12)
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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:
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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.
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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.
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15. A system for optimizing field operating policy for a subsurface region, comprising:
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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. - View Dependent Claims (16, 17)
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18. A method for decision support regarding development of petroleum resources, comprising:
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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. - View Dependent Claims (19, 20)
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Specification