Autonomous fitness for service assessment

• US 8,428,910 B2
• Filed: 11/23/2011
• Issued: 04/23/2013
• Est. Priority Date: 06/14/2004
• Status: Active Grant

• Current Assignee: Stylwan IP Holding LLC
• Original Assignee: Stylianos Papadimitriou, Wanda G. Papadimitriou
• Inventors: Papadimitriou, Wanda G., Papadimitriou, Stylianos
• Primary Examiner(s): Abebe, Daniel D
• Application Number:
  US13/304,061
• Publication Number:
  US 20120130651A1
• Time in Patent Office: 517 Days
• Field of Search: 73/18.2, 73/530.6, 702/183, 702/185, 704/272
• US Class Current: 702/185
• CPC Class Codes: G01N 27/9046 by analysing electrical signals
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue

Abstract

The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation.

Claims

1. A method to evaluate material comprising:

inducing excitation into said material;

detecting an output of at least one sensor, said output comprising of signals indicative of features from the material under evaluation, in a time-varying electrical form;

decomposing in frequency said signals, wherein said decomposing comprises passing said signals through at least one filter, producing decomposed in frequency signals;

converting said decomposed in frequency signals to a digital format producing digital signals;

recognizing a feature by utilizing a computer to analyze said digital signals;

evaluating an impact of said material feature upon said material under evaluation, utilizing said computer; and

calculating a fitness for service of said material under evaluation, utilizing said computer.

2. The method of claim 1, further comprising the step of decomposing in frequency said signals, wherein said decomposing comprises passing said signals through a filter bank.

3. The method of claim 1, wherein said excitation is an electromagnetic excitation.

4. A method to calculate a material remediation comprising:

programming a computer to operate a material features acquisition system to detect a plurality of material features in a material;

recognizing a material feature utilizing said computer;

evaluating an impact of said material feature upon said material, said evaluation being performed by said computer;

calculating a fitness for service of said material, said calculation being performed by said computer; and

determining a material remediation path, said determination being performed by said computer.

5. The method of claim 4, wherein said material remediation path comprises at least one of utilization, redeployment and alteration to a shape of said material feature.

6. The method of claim 5, wherein said step of determining a material remediation path comprises an said alteration to a shape of said material, said alteration to said shape being feature is an optimal shape for a redetermined fitness for service.

7. The method of claim 6, wherein said material remediation path comprises additional monitoring sensors for monitoring how said material is utilized.

8. A method to evaluate material comprising:

detecting an output of at least one sensor, said output comprising of signals indicative of features from the material under evaluation, in a time-varying electrical form;

converting said signals to a digital format producing digital signals;

recognizing a material feature by utilizing a computer to analyze said digital signals;

calculating a geometry of said material feature of said material under evaluation with said material feature, utilizing said computer; and

converting said geometry to a file format in compliance with a finite element analysis engine input/output file specification.

9. The method of claim 8, further comprising the step of inducing excitation into said material.

10. A method to evaluate material comprising:

inducing excitation into said material and detecting material features in said material with a material features acquisition system whereby digital signals are produced representative of as-is material features; and

converting said digital signals into a data format for use by a finite element analysis program.

11. The method of claim 10 further comprising producing a finite element analysis of at least a portion of said material utilizing said finite element analysis program.

12. The method of claim 11 wherein said finite element analysis comprises evaluating stresses on said at least of portion of said material on a basis comprising specific loading.

13. The method of claim 12 wherein said specific loading comprises anticipated loads.

14. The method of claim 12 wherein said specific loading comprises measured loads.

15. The method of claim 12 wherein said specific loading comprises at least one of deflection, strains, stresses, natural frequencies, pump pressure, external pressure, wellhead pressure, temperature, flow rate, tension, weight, load distribution, fluid volume, vibration, and pump rate.

16. The method of claim 10 wherein said step of detecting material features comprises detecting an output of at least one sensor, said output comprising signals indicative of said material features from said material in a time-varying electrical form.

17. A system to evaluate a material comprising:

a material features acquisition system operable to induce excitation into said material to detect material features of said material and produce data representative of said material features; and

at least one computer programmed to convert said data into a data format for use by a finite element analysis program.

18. The system of claim 17, further comprising said at least one computer being programmed with a finite element analysis program to be operable to produce a finite element analysis of at least a portion of said material.

19. The system of claim 18 wherein said finite element analysis is programmed to evaluate stresses on said at least said portion of said material wherein said evaluation comprises specific loading input into said finite element analysis program.

20. The system of claim 19 wherein said specific loading comprises anticipated loads.

21. The system of claim 19 further comprising one or more loading sensors wherein said specific loading comprises measured loads.

22. The method of claim 19 wherein said specific loading comprises at least one of deflection, strains, stresses, natural frequencies, pump pressure, external pressure, wellhead pressure, temperature, flow rate, tension, weight, load distribution, fluid volume, vibration, and pump rate.

23. The system of claim 19 wherein said material features acquisition program comprises at least one sensor which produces an output comprising signals indicative of said material features from said material in a time-varying electrical form.

24. A material evaluation system comprising:

at least one computer;

at least one finite element analysis program;

a material features acquisition system operable to detect at least one material feature in said material under evaluation;

at least one database comprising at least one of material features recognition equations and material historical data;

at least one program being executed on said at least one computer to recognize said at least one material feature and to convert said at least one material feature into a data format for use by said finite element analysis program;

whereby said finite element analysis program being executed on said at least one computer is operable to produce a finite element analysis of at least a part of said material.

25. The material evaluation system of claim 24, wherein said at least one database further comprises at least one of equations, knowledge, rules and coefficients for at least one of bending, buckling, compression, cyclic loading, deflection, deformation, dynamic linking, dynamic loading, eccentricity, eccentric loading, elastic deformation, energy absorption, feature growth, feature morphology migration, feature propagation, impulse, loading, misalignment, moments, offset, oscillation, plastic deformation, propagation, shear, static loading, strain, stress, tension, thermal loading, torsion, twisting, vibration, similar items and combinations thereof, said at least one of equations, knowledge, rules and coefficients being used by said finite element analysis program to produce said finite element analysis of at least a part of said material.

26. The material evaluation system of claim 24, wherein said material features acquisition system is operable to induce an excitation into said material under evaluation wherein said induction of excitation is controlled, at least in part, by said at least one computer.

27. The material evaluation system of claim 24, whereby a boundary for said finite element analysis program is obtained at least in part from at least one of a speech recognition engine, a sound recognition engine and a camera.

28. The material evaluation system of claim 24, wherein said at least one database comprises captured knowledge of at least one expert in finite element analysis.

29. A material evaluation system comprising:

at least one computer;

a material features acquisition system operable to detect a plurality of material features in a material under evaluation; and

at least one program being executed on said at least one computer to recognize said plurality of material features and to convert said plurality of material features into a data format for use by a finite element analysis program.

30. The material evaluation system of claim 29, wherein said at least one program further comprises said finite element analysis program.

31. The method of claim 30 wherein said finite element analysis is programmed to evaluate stresses on said material wherein said evaluation comprises specific loading input into said finite element analysis program.

32. The method of claim 31 wherein said specific loading comprises anticipated loads.

33. The method of claim 31 further comprising one or more loading sensors wherein said specific loading comprises measured loads.

34. The method of claim 31 wherein said specific loading comprises at least one of deflection, strains, stresses, natural frequencies, pump pressure, external pressure, wellhead pressure, temperature, flow rate, tension, weight, load distribution, fluid volume, vibration, and pump rate.

35. The material evaluation system of claim 29 wherein said conversion of recognized plurality of material features into said data format for use by said finite element analysis program converts said recognized plurality of material features into an as-is material operational model.

36. The material features evaluation system of claim 29, further comprising at least one database comprising at least one of material features recognition equations and material historical data.

37. A material evaluation system comprising:

at least one computer;

at least one finite element analysis program;

a material features acquisition system operable to detect at least one material feature in said material under evaluation for detection of as-is material;

at least one database comprising at least one of material features recognition equations and material historical data;

at least one program being executed on said at least one computer to recognize said at least one material feature and to convert said at least one material feature into an as-is material operational model for analysis by said at least one finite element analysis program.

38. The material evaluation system of claim 37 whereby said as-is material operational model is operated by said at least one computer, said operation being guided by said at least one database to make a determination of an operational range of said as-is material.

39. The material evaluation system of claim 37 wherein said material historical data further comprise at least one as-designed material operational model whereby said at least one computer may compare said operational range of said as-is material with an operational range of an as-designed material.

40. The material evaluation system of claim 37 wherein said material historical data further comprise at least one prior as-is material operational model of prior as-is material whereby said at least one computer may compare said operational range of said as-is material with an operational range of said prior as-is material.

41. A method to evaluate material comprising:

detecting an output of at least one sensor, said output comprising of signals indicative of features from the material under evaluation, in a time-varying electrical form;

recognizing a material feature by utilizing at least one computer; and

calculating a geometry of said material feature utilizing said at least one computer.

42. The method of claim 41 wherein said step of calculating said geometer further comprises determining a size of said material feature in at least two dimensional units.

43. The method of claim 41 wherein said step of calculating said geometer further comprises determining a size of said material feature in three dimensional units.

44. The method of claim 41 further comprising:

calculating a fitness for service of said material under evaluation, utilizing said computer.

45. The method of claim 44, further comprising when said material is no longer fit for service then determining remediation of said material utilizing said computer for at least one of redeployment to a new use of said material and an alteration of a shape of said material.

46. The method of claim 41, further comprising evaluating an impact of said material feature upon said material under evaluation, utilizing said computer;

and

when said material is determined not to be fit for service then determining a remediation path utilizing said computer.

47. A method to calculate a material remediation comprising:

programming a computer to operate a material features acquisition system to detect a plurality of material features;

recognizing a material feature utilizing said computer; and

determining a material remediation path, said determination being performed by said computer.

48. The method of claim 47, wherein said material remediation path comprises at least of one of redeployment and alteration to a shape of said material.

49. The method of claim 48, wherein said redeployment comprises providing sensors to monitor utilization of said material.

50. The method of claim 48, wherein said alteration to a shape of said material is an optimal shape for a fitness for service.

51. The method of claim 47, wherein said material remediation path comprises a selection between redeployment to a different use of said material and an alteration of a shape of said material.