Stress engineering assessment of risers and riser strings
View Patent ↗Riser stress-engineering-assessment equipment to verify the integrity and the in-deployment-integrity of a riser string by knowing the status, details and location of each riser joint and by monitoring the deployment parameters. When the failure risk exceeds an acceptable level, the equipment activates a local and/or a remote alarm using voice, sound and lights. The system comprises a computer with communication means, a material properties and geometry detection system, a data acquisition system acquiring deployment and other parameters, a database comprising of riser historical data and captured expert knowledge, a failure-criteria calculation to calculate maximum-stresses under different loads and the combined effects of the different loads to determine if the riser string is still fit-for-deployment.
1. A method for assessment of a tubular, said method comprising:
utilizing a material features acquisition system operable to detect a plurality of material features in said tubular, said material features acquisition system comprising a sensor;
providing a database to retain data so that said material features acquisition system is operable to produce a history of said tubular whereby said material features acquisition system is operable to detect and monitor changes in said tubular from repeatedly scanning said tubular with said material features acquisition system over time and wherein scanning said tubular comprises providing axial movement between said sensor and said tubular;
providing that said material features acquisition system is responsive to a material feature for calibrating said material features acquisition system from a calibration sample;
detecting an output of said sensor;
calibrating said sensor with a calibration sample comprising a plurality of different material features;
providing that said material features acquisition system is operable to evaluate said output of said sensor to detect new material features and monitor previously detected material features in said tubular from said database; and
providing that said material features acquisition system is operable for determining a degradation mechanism from a plurality of possible degradation mechanisms or changes affecting said tubular.
2. The method of claim 1 , further comprising simulating an anticipated load on said tubular to assess said tubular.
3. The method of claim 1 , wherein said material features acquisition system is operable to categorize material features comprising at least wall thickness, cracks, welds, tapers, and collars.
4. The method of claim 1 , further comprising determining whether said tubular is fit for service with a plurality of anticipated loads based on one or more of an estimated remaining strength of said tubular, a material strength requirement for a range of operational loads for said tubular, a minimum strength requirement for said tubular, or a deterioration of said tubular.
5. The method of claim 1 , further comprising providing data in a suitable data format representative of said tubular to at least one of an FEA program, a simulation program, or a computer aided design (CAD) program.
6. The method of claim 1 , wherein said tubular comprises an oil country tubular good, a pipeline, a riser, a component of said oil country tubular good, said pipeline or said riser, or combinations of said oil country tubular good, said pipeline, or said riser.
7. The method of claim 1 , wherein said sensor is capable of measuring at least one of acoustic information, conductivity, current, deformation, density, depth, direction, distance, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer), field, flow, flux-leakage, frequency, geometry, by laser, length , location, motion, magnetic, optical, physical properties, rate, RFID signals, reluctance , resistance, time, ultrasonic signals, vibration, or voltage.
8. The method of claim 1 , wherein said sensor is capable of collecting at least one of acoustic information, conductivity information, current information, deformation information, density information, depth information, direction information, distance information, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer) information, field information, flow information, flux-leakage information, frequency information, geometry information, laser information, length information, location information, motion information, magnetic information, optical information, physical properties information, rate information, RFID signal information, reluctance information, resistance information, time information, ultrasonic signal information, vibration information, or voltage information.
9. A method for assessment of a tubular, comprising:
providing a material features acquisition system that comprises an excitation inducer to induce excitation into said tubular;
providing that said material features acquisition system comprises a sensor responsive to said excitation induced into said tubular;
calibrating said sensor with a calibration sample comprising a plurality of different material features;
providing axial movement between said sensor and said tubular; and
utilizing data from said sensor for simulating an anticipated load on said tubular or producing a representation of said tubular.
10. The method of claim 9 further comprising providing a database operable for storage of a history of said tubular under evaluation, said material features acquisition system is operable to determine at least one degradation mechanism that affects said tubular under evaluation from a plurality of possible degradation mechanisms from said history.
11. The method of claim 9 further comprising providing data representative of said tubular from said sensor of said material features acquisition system to at least one of an FEA program, a simulation program, or a computer aided design (CAD) program and providing that said data representative of said tubular is in a usable format for at least one of said FEA program, said CAD program, or said simulation program.
12. The method of claim 11 further comprising comparing said data representative of said tubular with a history of said tubular from a database or storage to determine changes in said tubular.
13. The method of claim 11 further comprising producing a representation of said tubular utilizing said data from said sensor.
14. The method of claim 13 further comprising comparing said representation of said tubular with a representation from a history of said tubular from a database to determine changes in said tubular.
15. The method of claim 9 , determining whether said tubular is fit for service with a plurality of anticipated loads based on one or more of an estimated remaining strength of said tubular, a material strength requirement for a range of operational loads for said tubular, a minimum strength requirement for said tubular, or a deterioration of said tubular.
16. The method of claim 9 , wherein said axial movement is at a selectable scanning speed in terms of distance over time.
17. The method of claim 9 , wherein said tubular comprises an oil country tubular good, a pipeline, a riser, a component of said oil country tubular good, said pipeline or said riser, or combinations of said oil country tubular good, said pipeline, or said riser.
18. The method of claim 9 , wherein said sensor is capable of measuring at least one of acoustic information, conductivity, current, deformation, density, depth, direction, distance, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer), field, flow, flux-leakage, frequency, geometry, by laser, length, location, motion, magnetic, optical, physical properties, rate, RFID signals, reluctance, resistance, time, ultrasonic signals, vibration, or voltage.
19. The method of claim 9 , wherein said sensor is capable of gathering at least one of acoustic information, conductivity information, current information, deformation information, density information, depth information, direction information, distance information, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer) information, field information, flow information, flux-leakage information, frequency information, geometry information, laser information, length information, location information, motion information, magnetic information, optical information, physical properties information, rate information, RFID signal information, reluctance information, resistance information, time information, ultrasonic signal information, vibration information, or voltage information.
20. A system to evaluate a tubular comprising:
a material features acquisition system, said material features acquisition system comprising of at least one sensor with an output;
a calibration sample comprising a known material feature whereby said material features acquisition system is adjusted for said known material feature;
a database operable for storage of a history of said tubular under evaluation, said material features acquisition system is operable to determine at least one degradation mechanism from a plurality of possible degradation mechanisms affecting said tubular under evaluation; and
said material features acquisition system being operable to record data for said tubular under evaluation repeatedly over time during axial movement of a selectable speed between said sensor and tubular.
21. The system of claim 20 , wherein said sensor is capable of measuring at least one of acoustic information, conductivity, current, deformation, density, depth, direction, distance, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer), field, flow, flux-leakage, frequency, geometry, by laser, length, location, motion, magnetic, optical, physical properties, rate, RFID signals, reluctance, resistance, time, ultrasonic signals, vibration, or voltage.
22. The system of claim 20 , wherein said sensor is capable of receiving at least one of acoustic information, conductivity information, current information, deformation information, density information, depth information, direction information, distance information, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer) information, field information, flow information, flux-leakage information, frequency information, geometry information, laser information, length information, location information, motion information, magnetic information, optical information, physical properties information, rate information, RFID signal information, reluctance information, resistance information, time information, ultrasonic signal information, vibration information, or voltage information.
23. A method for assessment of a tubular, said method comprising:
providing a material features acquisition system that comprises an excitation inducer to induce excitation into said tubular;
providing that said material features acquisition system comprises a sensor responsive to said excitation induced into said tubular;
calibrating said material features acquisition system at least once with a calibration sample comprising a plurality of material features;
providing relative axial movement between said sensor and said tubular;
producing data that is representative of material features of said tubular in a format for use by at least one of a finite element analysis program or a computer aided design program or a simulation program; and
utilizing said data to simulate an anticipated load to assess said tubular.
24. The method of claim 23 further comprising comparing said data that is representative of material features of said tubular with earlier data from a history of said tubular in a database to determine changes in said tubular.
25. The method of claim 23 further comprising determining whether said tubular is fit for service with a plurality of anticipated loads based on one or more of an estimated remaining strength of said tubular, a material strength requirement for a range of operational loads for said tubular, a minimum strength requirement for said tubular, or a deterioration of said tubular.
26. The method of claim 23 further comprising, tracking of an order of each tubular for a plurality of tubulars and recording said order, simulating a change in an order of said plurality of tubulars to provide a re-ordered simulated tubular string, and determining whether said re-ordered simulated tubular string is operable to withstand said anticipated load.
27. The method of claim 26 , wherein said plurality of tubulars comprises a riser string, said anticipated load comprises at least one or more of water currents acting on said riser string, a length of said riser string, an applied tension to said riser string, a pressure in said riser string, a rig motion applied to said riser string, cyclical loads applied to said riser string, weights of fluids within said riser string, forces applied to said riser string, string weight or maximum allowable loads for said riser string.
28. The method of claim 23 , further comprising replacing a selected tubular from a simulated tubular string to provide a revised simulated tubular string and determining whether said revised simulated tubular string is operable to withstand said anticipated load.
29. The method of claim 23 , wherein said anticipated load comprises at least two of tension, bending, torsion, and vibration.
30. The method of claim 23 , wherein said calibration sample comprises a plurality of different imperfections.
31. The method of claim 23 , further comprising utilizing deployment data along with manufacturing material and geometry data for said tubular to assess said tubular.
32. The method of claim 23 , further comprising determining a remaining useful life of said tubular.
33. The method of claim 23 , wherein axial movement occurs is at a speed in terms of a distance over time.
34. The method of claim 23 , further comprising utilizing said data that is representative of material features of said tubular in at least one of said finite element analysis program or said computer aided design program.
35. The method of claim 34 , further comprising exporting a data set representative of said tubular to said finite element analysis program.
36. The method of claim 23 , further comprising selecting a resolution to export to said finite element analysis program.
37. The method of claim 23 , wherein said step of producing data representative of material features of said tubular by scanning said tubular for use by at least one of a finite element analysis program or a computer aided design program is performed substantially or completely by a computer.
38. The method of claim 23 , wherein said sensor is capable of measuring at least one of acoustic information, conductivity, current, deformation, density, depth, direction, distance, eddy—current information, electrical information, EMAT (electromagnetic acoustic transducer), field, flow, flux-leakage, frequency, geometry, by laser, length, location, motion, magnetic, optical, physical properties, rate, RFID signals, reluctance, resistance, time, ultrasonic signals, vibration, or voltage.