IP Library › Granted Patent US 8,527,248
Granted Patent B2
US 8,527,248 · App. 12/693,119 · Granted Sep 3, 2013

System and method for performing an adaptive drilling operation

Inventors: R. K. Michael Thambynayagam (Sugar Land, TX); Cengiz Esmersoy (Sugar Land, TX); Peter Gerhard Tilke (Belmont, MA); Maurice Nessim (Houston, TX); Annabelle Kania (Houston, TX); Sudhendu Kashikar (Katy, TX); Gregory P. Grove (Houston, TX); Nader C. Dutta (Houston, TX); Raj Banerjee (Abingdon, GB); Jeffrey B. Spath (Missouri City, TX); Christopher Hopkins (Katy, TX)
Assignee: WesternGeco L.L.C.
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Quick Facts
Patent No.
US 8,527,248
App. No.
12/693,119
Granted
Sep 3, 2013
Kind
B2
Abstract

A system and method for performing an adaptive drilling operation is provided. The method involves obtaining data prior to drilling, constructing a base model with a base model unit from data obtained prior to drilling, constructing an overburden posterior model with an overburden model unit using the base model and data obtained from overburden drilling, constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling and updating drilling operation based on the models.

Claims (56)

1. An integrated well optimization unit for performing an adaptive drilling operation at a wellsite, the unit comprising:

a transceiver operatively connected to a controller at the wellsite for communication therewith;

a base model unit for generating a base model from pre-drilling data;

an overburden model unit for generating an overburden posterior model based on the base model and wellsite data received during overburden drilling; and

a reservoir model unit for generating a reservoir posterior model based on the base model, the overburden posterior model and wellsite data received during reservoir drilling;

wherein the base model, the overburden posterior model, and the reservoir posterior model are integrated for passing data therebetween and whereby a drilling operation is adapted as the models are generated.

2. The integrated well optimization unit of claim 1 , wherein the drilling operation is adapted by changing a drilling trajectory.

3. The integrated well optimization unit of claim 2 , further comprising a drilling trajectory unit for modifying the drilling trajectory from information obtained from the generated models.

4. The integrated well optimization unit of claim 3 , wherein modifying the drilling trajectory further comprises any one of modifying a casing point, a hole size, and mud weights.

5. The integrated well optimization unit of claim 1 , wherein the drilling operation is adapted by changing a mud weight.

6. The integrated well optimization unit of claim 1 , wherein the drilling operation is adapted by changing a weight on a drill bit.

7. The integrated well optimization unit of claim 1 , wherein the drilling operation is adapted by abandoning drilling operations.

8. The integrated well optimization unit of claim 1 , further comprising a figure of merit unit for optimizing at least one well parameter.

9. A method for performing an adaptive drilling operation at a wellsite, comprising:

providing an integrated well optimization unit, comprising:

a transceiver operatively connected to a controller for communication therewith;

a base model unit for generating a base model from pre-drilling data;

an overburden model unit for generating an overburden posterior model based on the base model and wellsite data received during overburden drilling; and

a reservoir model unit for generating a reservoir posterior model based on the base model, the overburden posterior model and wellsite data received during reservoir drilling;

constructing the base model;

constructing the overburden posterior model during overburden drilling;

constructing the reservoir posterior model during reservoir drilling;

integrating the base model, the overburden posterior model and the reservoir posterior model by passing data therebetween; and

modifying a well plan based on the integrated models.

10. The method of claim 9 , wherein modifying the well plan further comprises changing a mud weight.

11. The method of claim 9 , wherein modifying the well plan further comprises changing a weight on a drill bit.

12. The method of claim 9 , wherein modifying the well plan further comprises abandoning drilling operations.

13. The method of claim 9 , further comprising modifying a figure of merit, wherein the figure of merit is the net present value (NPV).

14. The method of claim 13 , further comprising reducing uncertainty in the NPV during drilling by optimizing at least one objective function of the NPV from the collected data during drilling.

15. The method of claim 9 , wherein modifying the well plan further comprises modifying the a drilling trajectory.

16. The method of claim 9 , wherein modifying the well plan further comprises changing a drilling speed.

17. The method of claim 9 , wherein modifying the well plan further comprises changing a drill bit.

18. A method for performing an adaptive drilling operation at a wellsite, comprising:

obtaining data prior to drilling;

constructing a base model with a base model unit from data obtained prior to drilling;

constructing an overburden posterior model with an overburden model unit using the base model and wellsite data received during overburden drilling;

constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling; and

updating drilling operation based on the models.

19. The method of claim 18 , further comprising integrating the models by passing data between the models.

20. The method of claim 18 , further comprising optimizing at least one figure of merit.

21. The method of claim 20 , further comprising changing a drilling trajectory based on the figure of merit.

22. The method of claim 20 , wherein optimizing at least one figures of merit further comprises optimizing production.

23. The method of claim 18 , further comprising constructing a flow simulation model.

24. A system for performing an adaptive drilling operation at a wellsite, comprising:

an oil rig having a downhole drilling tool for advancing into the Earth to form a wellbore;

at least one monitoring tool for obtaining data regarding the wellsite;

a well optimization unit comprising:

a base model unit for constructing a base model prior to drilling;

an overburden model unit for constructing an overburden posterior model using the base model and data obtained while drilling in an overburden;

a reservoir model unit for constructing a reservoir posterior model using the base model, the overburden posterior model and data obtained while drilling in a reservoir; and

a drilling trajectory unit for determining an initial trajectory based on the base model and modifying the drilling trajectory by integrating information from the overburden posterior model with data from the base model.

25. The system of claim 24 , wherein the drilling trajectory unit is for modifying the drilling trajectory by integrating information from the reservoir posterior model with data from at least one of the base model and the overburden posterior model.

26. The system of claim 24 , wherein the well optimization unit further comprises a pre-drilling data unit for constructing a prior data deck and a prediction data deck.

27. The system of claim 24 , wherein the well optimization unit further comprises an overburden data unit for constructing an overburden data deck.

28. The system of claim 24 , wherein the well optimization unit further comprises a reservoir data unit for constructing a reservoir data deck.

29. The system of claim 24 , wherein the well optimization unit further comprises a figure of merit unit for optimizing at least one well parameter.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2011
From: SCHLUMBERGER TECHNOLOGY CORPORATION
To: WESTERNGECO L.L.C.
Reel/Frame 025929/0131 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2010
From: THAMBYNAYAGAM, R.K. MICHAEL; ESMERSOY, CENGIZ; TILKE, PETER GERHARD; NESSIM, MAURICE; KANIA, ANNABELLE; KASHIKAR, SUDHENDU; GROVE, GREGORY P.; DUTTA, NADER C.; BANERJEE, RAJ; SPATH, JEFFREY B.; HOPKINS, CHRISTOPHER
To: SCHLUMBERGER TECHNOLOGY CORPORATION
Reel/Frame 024049/0239 →
Continuity (3)
Continuation In Part 12148415 · Apr 18, 2008
Continuation In Part 12356137 · Jan 20, 2009
Related Publication 20100155142A1 · Jun 24, 2010