Detection of static tip resistance of a pile

Patent metadata

Field	Value
Publication number	US-9995643-B2
Application number	US-201213982045-A
Country	US
Kind code	B2
Filing date	Feb 24, 2012
Priority date	Feb 25, 2011
Publication date	Jun 12, 2018
Grant date	Jun 12, 2018

Abstract

Systems and methods are provided for dynamically determining a static tip resistance of a dynamically-loaded component having a tip. One example method comprises receiving gauge data from one or more gauges associated with the component proximate the tip. The gauge data may represent measurements related to one or more impacts on the component. The example method may further comprise determining measured data and estimated data corresponding to the one or more impacts on the component based at least in part on the gauge data. Furthermore, the method may comprise performing an inversion to select the estimated data having the least amount of difference in comparison to the measured data. The method may also comprise determining the static tip resistance based at least in part on the selected estimated data.

First claim

That which is claimed:

1. A method for making real time or near real time decisions regarding driving a dynamically-loaded component at least partially into a geological domain, wherein the dynamically-loaded component comprises a tip, the method comprising:
receiving, by a receiver, gauge data from one or more gauges disposed proximate to the tip of the dynamically-loaded component, wherein (a) the gauge data represents measurements related to one or more impacts on the dynamically-loaded component, the one or more impacts at least partially driving the dynamically-loaded component into the geological domain, and (b) the one or more gauges comprise at least one of (i) one or more strain gauges or (ii) one or more accelerometers;
determining, by a processor, measured data and estimated data corresponding to the one or more impacts on the dynamically-loaded component based at least in part on the gauge data, wherein (a) the one or more impacts at least partially drive the dynamically-loaded component into the geological domain, (b) the estimated data is determined based on model parameters, the model parameters comprising (i) a mass of the dynamically-loaded component and any soil plug associated with the tip, (ii) a viscous damping value, and (iii) a stiffness, and (c) selection of values for the model parameters is not informed by an initial model of the geological domain;
performing, by the processor, an inversion to select the estimated data having the least amount of difference in comparison to the measured data, wherein performing the inversion comprises:
applying a stochastic technique to determine a simultaneous global minimum in both a force difference and an energy difference, wherein (a) the force difference is the difference between an estimated force determined based on the estimated data and a measured force determined based on the measured data, (b) the energy difference is the difference between an estimated energy determined based on the estimated data and a measured energy based on the measured data, and (c) at least one of the force difference or energy difference is normalized so that the force difference and the energy difference are of the same magnitude; and

determining the static tip resistance based at least in part on the selected estimated data in real or near real time with respect to the driving of the dynamically-loaded component;
responsive to the determined static tip resistance failing to satisfy a predetermined threshold, continue driving the dynamically-loaded component; and
responsive to the determined static tip resistance satisfying the predetermined threshold, cease driving the dynamically: loaded component.

2. The method of claim 1 , wherein determining measured data further comprises:
determining an amount of energy reaching the tip for each of the one or more impacts on the dynamically-loaded component; and
determining an amount of force at the tip for each of the one or more impacts on the dynamically-loaded component.

3. The method of claim 2 , wherein the amount of energy reaching the tip comprises an inertia energy, a damping energy, and a static energy; wherein the amount of force at the tip comprises an inertia force, a damping force, and a static force; and wherein the static tip resistance corresponds to the static force.

4. The method of claim 3 , wherein determining estimated data further comprises:
estimating one or more of the inertia energy, the damping energy, the static energy, the inertia force, the damping force, and the static force for each of the one or more impacts on the dynamically-loaded component.

5. The method of claim 1 , wherein performing an inversion further comprises:
generating one or more estimation models comprising estimated data;
determining the difference between the measured data and the estimated data of each of the one or more estimation models; and
selecting the estimated data from the estimation model having the least amount of error from the measured data.

6. The method of claim 5 , wherein determining the difference between the measured data and the estimated data of each of the one or more estimation models further comprises:
determining a first error between a measured amount of energy reaching the tip and an estimated amount of energy reaching the tip;
determining a second error between a measured amount of force at the tip and an estimated amount of force at the tip; and
combining the first error and second error.

7. The method of claim 6 , wherein determining the difference between the measured data and the estimated data of each of the one or more estimation models comprises minimizing the difference based at least in part on a least squared error method.

8. The method of claim 6 , further comprising:
applying a normalizing coefficient to the measured amount of force at the tip and the estimated amount of force at the tip.

9. The method of claim 5 , wherein generating one or more estimation models comprises:
randomly generating one or more parameter values; and
determining the estimated data for the estimation model based at least in part on the gauge data and the one or more parameter values.

10. The method of claim 9 , wherein the one or more parameter values correspond to at least one of a mass, a viscous damping coefficient, one or more stiffnesses, and one or more segment lengths.

11. The method of claim 10 , wherein each of the one or more stiffnesses corresponds to a respective one of the one or more segment lengths.

12. The method of claim 1 further comprising:
applying a low-pass filter to the measured data.

13. The method of claim 1 , wherein the inversion comprises a global genetic inversion.

14. The method of claim 1 , wherein the one or more gauges are embedded in the dynamically-loaded component proximate to the tip.

15. The method of claim 1 , wherein the dynamically-loaded component comprises a driven pile or a cast in situ foundation.

16. A method for making real time or near real time decisions regarding driving of an object at least partially into a geological domain, the method comprising:
receiving, by a receiver, gauge data measured from an area proximate to a tip of the object resulting from one or more impacts on the object, the gauge data measured by one or more gauges disposed proximate to the tip of the object, wherein (a) the gauge data represents at least one of a total force and a total energy associated with each of the one or more impacts, (b) the one or more impacts at least partially drive the object into the geological domain, and (c) the one or more gauges comprise at least one of (i) one or more strain gauges or (ii) one or more accelerometers;
generating, by a processor, a plurality of estimation models comprising one or more estimated component values of the gauge data for each respective impact, wherein (a) the estimated models are generated based on model parameters, the model parameters comprising (i) a mass of the object and any soil plug associated with the tip, (ii) a viscous damping value, and (iii) a stiffness, and (c) selection of values for the model parameters is not informed by an initial model of the geological domain;
performing, by the processor, an inversion on the measured data and the estimated component values, wherein performing the inversion comprises:
applying a stochastic technique to determine a simultaneous global minimum in both a force difference and an energy difference, wherein (a) the force difference is the difference between an estimated force determined based on the estimated data and a measured force determined

Assignees

• Mcvay Michael
• Tran Khiem Tat
• Herrera Rodrigo
• Lai Peter
• Univ Florida
• Florida Department Of Transp

Inventors

• Mcvay Michael
• Tran Khiem Tat
• Herrera Rodrigo
• Lai Peter

Classifications

• G01L3/00 Primary

  Measuring torque, work, mechanical power, or mechanical efficiency, in general · CPC title

• E21B44/00 Primary

  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 title

• E21B47/00

  Survey of boreholes or wells (monitoring pressure or flow of drilling fluid E21B21/08) · CPC title