Iterative drilling simulation process for enhanced economic decision making

• US 7,085,696 B2
• Filed: 06/27/2003
• Issued: 08/01/2006
• Est. Priority Date: 03/25/1996
• Status: Expired due to Term

• Current Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Original Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Inventors: King, William W.
• Primary Examiner(s): DANG, HOANG C
• Application Number:
  US10/607,900
• Publication Number:
  US 20040000430A1
• Time in Patent Office: 1,131 Days
• Field of Search: 175/40, 175/39, 703/10, 702/9, 705/10, 705/400
• US Class Current: 703/10
• CPC Class Codes: E21B 12/02 Wear indicators
• CPC Class Codes: E21B 2200/22 Fuzzy logic, artificial intelligence, neural networks or the like
• CPC Class Codes: E21B 44/00 Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
• CPC Class Codes: E21B 44/005 Below-ground automatic control systems
• CPC Class Codes: E21B 49/00 Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
• CPC Class Codes: E21B 49/003 by analysing drilling variables or conditions E21B49/005 takes precedence; systems specially adapted for monitoring a plurality of drilling variables or conditions E21B44/00
• CPC Class Codes: E21B 7/00 Special methods or apparatus for drilling
• CPC Class Codes: Y02E 30/10 Nuclear fusion reactors

Abstract

An iterative drilling simulation method and system for enhanced economic decision making includes obtaining characteristics of a rock column in a formation to be drilled, specifying characteristics of at least one drilling rig system; and iteratively simulating the drilling of a well bore in the formation. The method and system further produce an economic evaluation factor for each iteration of drilling simulation. Each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a prescribed drilling simulation model.

Claims

1. A method for enhanced decision making based on optimization of a drilling system using an economic evaluation factor comprising:

generating a first economic evaluation factor for the drilling system by using an iterative drilling simulation of a well bore in a formation based on a drilling simulation model having at least one of the following formation characteristics selected from the group consisting of lithology, rock strength, shale plasticity and porosity and a drilling mechanics parameter;

determining whether the first economic factor achieves a desired optimization;

varying the drilling mechanics parameter of the drilling system based on the determination such that the iterative drilling simulation generates a second economic evaluation factors;

determining whether the second economic evaluation factor achieves the desired optimization;

selecting the drilling mechanics parameter from the group consisting of bit type, bit diameter, bit cutting structure 3D (three dimensional) model, bit work rating, bit junk slot area, bit total flow area (TFA), bit pressure drop, impact force, jet velocity and drill bit costs;

continuing the iterative drilling drilling simulation of the well bore until the desired optimization is achieved; and

modifying the iterative drilling simulation to take into account drill bit enhancements.

2. The method of claim 1, further comprising generating a preliminary recommendation including a list of drilling equipment based on the drilling mechanics parameter of the drilling system that generated the economic evaluation factor that achieved the desired optimization.

3. The method of claim 2, further comprising displaying the preliminary recommendation.

4. The method of claim 2, further comprising viewing the preliminary recommendation on a computer monitor.

5. The method of claim 2, further comprising specifying additional drilling equipment considerations for use with the drilling system of the preliminary recommendation such that the iterative drilling simulation generates a third economic evaluation factor for an additional preliminary recommendation.

6. The method of claim 5, wherein additional drilling equipment considerations comprise potential component changes.

7. The method of claim 5, wherein additional drilling equipment considerations comprise replacing a drill bit used in the drilling rig system.

8. The method of claim 5, further comprising selecting an overall recommendation from the preliminary recommendation and the at least one additional preliminary recommendations based on the economic evaluation factor.

9. The method of claim 8, further comprising displaying the overall recommendation in a compressed time animation, wherein a user may view a simulation of the drilling system drilling the well bore.

10. The method of claim 8, further comprising formatting the overall recommendation in hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, or any combination thereof.

11. A program product for enhanced decision making to recommend a drilling rig system using an economic evaluation factor to achieve a desired optimization of the drilling rig system comprising:

a computer-usable medium; and

computer instructions encoded in the computer-usable medium, wherein the computer instructions, when executed, cause a computer to perform operations comprising;

generating a first economic evaluation factor for the drilling rig system by using an iterative simulation of drilling a well bore in a rock column of a formation based on a drilling simulation model;

including a drilling mechanics parameter in the drilling simulation model;

selecting the drilling mechanics parameter from the group consisting of bit type, bit diameter, bit cutting structure 3D (three dimensional) model, bit work rating, bit junk slot area, bit total flow area (TFA), bit pressure drop, impact force, jet velocity and drill bit costs;

determining whether the first economic factor achieves a desired optimization;

based on the determination, varying the drilling mechanics parameter such that the drilling simulation model generates a second economic evaluation factor and determines whether the second economic evaluation factor achieves the desired optimization;

generating at least one recommendation including a list of drilling equipment; and

modifying the iterative drilling simulation to take into account drill bit enhancements.

12. The program product of claim 11, further comprising generating a preliminary recommendation including a list of drilling equipment based on the drilling mechanics parameter that achieved the desired optimization.

13. The program product of claim 12, further comprising displaying the preliminary recommendation.

14. The program product of claim 12, further comprising viewing the preliminary recommendation on a computer monitor.

15. The program product of claim 12, further comprising specifying an additional drilling equipment consideration for use with the drilling rig system of the preliminary recommendation such that the iterative drilling simulation generates a third economic evaluation factor for an additional preliminary recommendation.

16. The program product of claim 15, further comprising including potential drilling rig upgrades as the additional drilling equipment consideration.

17. The program product of claim 15, further comprising replacing a drilling rig component used in the drilling rig system as the additional drilling equipment consideration.

18. The program product of claim 15, further comprising selecting an overall recommendation from the preliminary recommendation and the at least one additional preliminary recommendations based on the economic evaluation factor.

19. The program product of claim 18, further comprising displaying the overall recommendation in a compressed time animation, wherein a user may view a simulation of the drilling rig system drilling the well bore.

20. The program product of claim 18, further comprising formatting the overall recommendation in hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, or any combination thereof.

21. A method of enhanced decision making for the recommendation of a drill bit for a drilling system based on an economic evaluation factor comprising:

generating a first economic evaluation factor for the drilling system by using an iterative drilling simulation of a well bore in a formation based on drilling mechanics parameters of a drill bit used in the drilling system;

determining whether the first economic factor achieves a desired optimization;

based on the determination, varying the drilling mechanics parameter of the drill bit such that the iterative drilling simulation generates a second economic evaluation factor and determines whether the second economic evaluation factor achieves the desired optimization;

generating a preliminary recommendation based on the economic evaluation factor that achieved the desired optimization, the preliminary recommendation including a list of drilling rig components selected from the group consisting of rotary table, top drive, drill string, drilling fluid pumps, bottom hole assembly, hoisting equipment, down hole motor, downhole turbine, rotary steerable system and drill bit for use in the drilling system;

modifying the iterative drilling simulation to take into account drill bit enhancements; and

selecting at least one of the drilling mechanics parameter of the drill bit from a group consisting of a bit type, bit diameter, bit cutting structure 3D (three dimensional) model, bit work rating, bit junk slot area, bit total flow area (TFA), bit pressure drop, impact force, jet velocity and drill bit costs.

22. The method of claim 21 further comprising selecting log data for use in the iterative drilling simulation from the group consisting of well logs, mud logs, core data and bit records.