AUTOMATED FIELD DEVELOPMENT PLANNING

• US 20100185427A1
• Filed: 01/20/2009
• Published: 07/22/2010
• Est. Priority Date: 01/20/2009
• Status: Active Grant

• Current Assignee: Schlumberger Technology Corporation (Schlumberger NV)
• Original Assignee: Schlumberger Technology Corporation (Schlumberger NV)
• Inventors: Carnegie, Andrew J., Spath, Jeffrey, Halabe, Vijaya, Habashy, Tarek M., Couet, Benoit, Bailey, William J., Prange, Michael David, Banerjee, Raj, Tilke, Peter Gerhard, Thambynayagam, Michael
• Granted Patent: US 8,793,111 B2
• 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

Abstract

A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP. The position, orientation and dimensions of analytical model elements for the subsurface oil or gas field, as well as the physical properties associated with these elements, correlate to connected flow volume data from a Shared Earth Model (SEM). Uncertainty in the SEM is considered via stochastic sampling. In the presence of uncertainty, the optimum Field Development Plan (FoM) is selected by maximizing an objective function defining a risk-based Figure of Merit for the entire FDP.

Claims

1. In a system for generating a Field Development Plan with at least one platform location, borehole trajectories and well completions for an oil or gas field, a method of selecting an optimized Field Development Plan comprising the steps of:

a) providing a Shared Earth Model including a static three-dimensional, finite element map for the geological subsurface of an oil or gas field;

b) determining a set of connected flow volumes from the three-dimensional, finite element map of the geological subsurface for the oil or gas field, each connected flow volume corresponding to a distinct subsurface flow unit;

c) upscaling the set of connected flow volumes into a set of cuboid, analytical model elements suitable for use in a fast analytical reservoir simulator that dynamically models flow within respective cuboid elements, wherein each cuboid element is defined by its dimensions, position and orientation within the geological subsurface as well as physical parameter values for the cuboid; and

d) selecting an optimized Field Development Plan having one or more platform locations, borehole trajectories and well completions for the set of cuboid elements describing the geological subsurface of the oil or gas field, wherein the optimized Field Development Plan is selected based on optimization of an objective function for a Figure of Merit for candidate Field Development Plans, the objective function comprising use of the fast analytical reservoir simulator to forecast production from the set of cuboid, analytical model elements.

2. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein the cuboid, analytical model elements are selected to have zero flow boundary conditions.

3. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein the Figure of Merit consists of one of the following:

net present value, recovery factor, payback period, total oil production for a given period, percentile to get of net, and utility functions.

4. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein the optimization of the objective function for the Figure of Merit is accomplished using a Nelder-Mead optimization algorithm.

5. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein each cuboid, analytical model element is assigned parameter values for porosity, saturation and permeability.

6. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein individual cuboid, analytical model elements are subdivided into vertical and/or horizontal layers such that modeled flow is allowed between the layers, when the flow properties of the corresponding connected volumes are heterogeneous.

7. A method of selecting an optimized Field Development Plan as recited in claim 1 wherein optimization of the objective function for the Figure of Merit to determine the optimum Field Development Plan penalizes trajectories that are within collision tolerance.

8. A method of selecting an optimized Field Development Plan as recited in claim 1 further comprising the step of concatenating neighboring candidate completions when determining candidate FDPs during the optimization step, if engineering constraints are satisfied.

9. A method of selecting an optimized Field Development Plan as recited in claim 1 further comprising:

providing a stochastic sampling loop for a set of one or more uncertain physical variables in the Shared Earth Model, thereby realizing a new SEM realization for each stochastic sampling loop;

implementing steps b) and c) for each stochastic sampling loop and then for each stochastic sampling loop, calculating a Figure of Merit value for the FDP in light of upscaled cuboid elements for the respective SEM realization; and

providing statistical analysis of the Figure of Merit values for the Field Development Plan generated by stochastic sampling.

10. A method of selecting an optimized Field Development Plan as recited in claim 9 wherein the statistical analysis comprises at least a determination of a mean value, μ

, for the Figure of Merit values generated by stochastic sampling and the standard deviation, σ

, of the Figure of Merit values generated by stochastic sampling.

11. A method of selecting an optimized Field Development Plan as recited in claim 9 wherein the objective function for the Figure of Merit for the candidate Field Development Plans is degraded by a risk factor.

12. A method of selecting an optimized Field Development Plan as recited in claim 11 wherein the objective function that is optimized is:

FoM_λ

=λ

−

σ

λ

where μ

is the average of the Figure of Merit values generated by stochastic sampling for the candidate Field Development Plans, σ

is the standard deviation of the Figure of Merit values generated by stochastic sampling for the candidate Field Development Plans, and λ

is a risk aversion factor.

13. A method of selecting an optimized Field Development Plan as recited in claim 1 comprising the step of determining a sensitivity of the calculated Figure of Merit for the optimized Field Development Plan with respect to one or more uncertain physical variables in the Shared Earth Model.

14. A method of selecting an optimized Field Development Plan as recited in claim 13 wherein the step of determining sensitivity of the Figure of Merit of the optimized Field Development Plan with respect to one or more uncertain physical variables in the Shared Earth Model is accomplished by:

using expected uncertainty values for one or more physical variables in the Shared Earth Model to define an experimental design sample set of uncertainty-based Shared Earth Models;

for the optimized Field Development Plan and each uncertainty-based Shared Earth Model, execute steps b) and c), compute a Figure of Merit for the optimized Field Development Plan, and collect the computed Figure of Merit value in a set until all samples in the experimental design sample set have been processed;

compute the sensitivity of the Figure of Merit for the Field Development Plan with respect to each physical variable; and

present the results to the user.

15. A method of selecting an optimized Field Development Plan as recited in claim 14 wherein the sensitivity of the Figure of Merit for the Field Development Plan with respect to uncertainty and physical variables is presented to the user in the form of a Pareto chart.

16. A method of selecting an optimized Field Development Plan as recited in claim 11 further comprising the step of estimating the value of acquiring new data to reduce uncertainty of physical variables in the Shared Earth Model.

17. In a system for selecting an optimized Field Development Plan, a method of estimating the value of acquiring new data to reduce uncertainty of physical variables in a Shared Earth Model comprising the steps of:

selecting an initial Field Development Plan optimized for an initial Shared Earth Model wherein an objective function for the Figure of Merit is degraded by a risk factor in the presence of uncertainty for physical variables in the Shared Earth Model;

applying the results of one or more measurements to the Shared Earth Model in order to generate a new Shared Earth Model with reduced uncertainty for physical variables;

computing a risk degraded Figure of Merit (FoM<sub>s1λ

/m2</sub>) for the initial Field Development Plan based on the new Shared Earth Model having reduced uncertainty;

selecting a new Field Development Plan optimized for the new Shared Earth Model wherein the objective function for the Figure of Merit is degraded by the risk factor in the presence of the reduced uncertainty for the physical variables in the new Shared Earth Model;

computing a risk degraded Figure of Merit (FoM<sub>s2λ

/m2</sub>) for the new Field Development Plan based on the new Shared Earth Model having reduced uncertainty; and

comparing (FoM<sub>s1λ

/m2</sub>) to (FoM<sub>s2λ

/m2</sub>) to determine the value of acquiring new data.

18. A system for automatically generating an optimized Field Development Plan with at least one platform location, borehole trajectories and well completions for an oil or gas field, the system comprising:

a Shared Earth Model providing a static, three-dimensional, finite element map for the geological subsurface of an oil or gas field;

a connected flow volume generator that determines a set of connected flow volumes from the static, three-dimensional, finite element map of the Shared Earth Model;

a fast analytical reservoir simulator that dynamically models flow within cuboid, analytical model elements having zero flow boundary conditions;

means for upscaling the set of connected flow volumes into a set of cuboid elements for the fast analytical reservoir simulator; and

means for optimizing an objective function for a Figure of Merit for candidate Field Development Plans, the objective function comprising use of the fast analytical reservoir simulator to forecast production from the set of cuboid elements;

wherein the system is a computer system and each of the Shared Earth Model, connected flow volume generator, fast analytical reservoir simulator, and means for optimizing consist of computer software stored on a computer readable medium.

19. A system for automatically generating a Field Development Plan as recited in claim 18 wherein said means for optimizing the objective function for the Figure of Merit of candidate Field Development Plans comprises a Nelder-Mead algorithm.

20. A system for automatically generating a Field Development Plan as recited in claim 18 wherein the system further comprises a display and means for displaying the optimized Field Development Plan comprising one or more platform locations, optimized borehole trajectories and capacities, and optimized completion types, locations and flow rates.

21. A system for automatically generating a Field Development Plan as recited in claim 18 further comprising means for stochastically sampling a set of one or more uncertain physical variables in the Shared Earth Model.

22. A system for automatically generating a Field Development Plan as recited in claim 18 wherein the objective function for the Figure of Merit for candidate Field Development Plans is degraded by a risk factor, and the system further comprises means for providing a risk aversion factor into the system.

23. A system for automatically generating a Field Development Plan as recited in claim 18 further comprising means for determining the sensitivity of a Figure of Merit of an optimized Field Development Plan with respect to one or more uncertain physical variables in the Shared Earth Model.

24. A system for automatically generating a Field Development Plan as recited in claim 23 further comprising an optimal measurement design interface comprising:

means for displaying a set of sensitive physical variables;

means for inputting potential design measurements to reduce uncertainty in a Figure of Merit due to uncertainty in physical variables in the Shared Earth Model;

means of listing potential design measurements in an order ascending or descending with respect to an estimated value of the potential measurement plan; and

means for selecting a measurement from the ordered list and for determining whether selected measurements satisfy budgetary and operational constraints.

25. A system for automatically generating a Field Development Plan as recited in claim 24 further comprising means for determining whether an amount of uncertainty computed for a risk-based Figure of Merit calculation for a Field Development Plan is within acceptable limits.