IP Library Granted Patent US 11,086,040
Granted Patent B2
US 11,086,040 · App. 17/031,211 · Granted Aug 10, 2021

Time-reversed nonlinear acoustics for wellbore integrity characterization

Inventors: Timothy James Ulrich, II (Los Alamos, NM); Harvey Edwin Goodman (Houston, TX)
Assignees: TRIAD NATIONAL SECURITY, LLC; CHEVRON U.S.A. INC.
G01V1/50E21B47/005E21B47/007E21B49/00G01V1/46G01V2210/1299G01V2210/1429G01V2210/642
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Quick Facts
Patent No.
US 11,086,040
App. No.
17/031,211
Granted
Aug 10, 2021
Kind
B2
Abstract

A pulsed sinusoidal acoustic signal transmitted through a subsurface volume of a wellbore may be detected. A time-reversed acoustic signal of the pulsed sinusoidal acoustic signal may be transmitted through the subsurface volume of the wellbore. Transmission of the time-reversed acoustic signal through the subsurface volume of the wellbore may result in generation of focused acoustic signal in the subsurface volume of the wellbore. The focused acoustic signal in the subsurface volume of the wellbore may be detected, and the integrity of the wellbore may be determined based on the focused acoustic signal in the subsurface volume of the wellbore.

Claims (31)

1. A method for determining wellbore integrity, the method comprising:

transmitting a pulsed sinusoidal acoustic signal through a subsurface volume of a wellbore, the pulsed sinusoidal acoustic signal having a frequency;

detecting the pulsed sinusoidal acoustic signal transmitted though the subsurface volume of the wellbore;

transmitting, through the subsurface volume of the wellbore, a time-reversed acoustic signal of the pulsed sinusoidal acoustic signal, transmission of the time-reversed acoustic signal through the subsurface volume resulting in generation of focused acoustic signal in the subsurface volume of the wellbore;

detecting the focused acoustic signal in the subsurface volume of the wellbore; and

determining the integrity of the wellbore based on the focused acoustic signal in the subsurface volume of the wellbore, wherein the determining the integrity of the wellbore based on the focused acoustic signal in the subsurface volume of the wellbore includes determining values of nonlinear material parameters alpha, beta, and delta in the subsurface volume of the wellbore based on the focused acoustic signal, and comparing the values of the nonlinear material parameters alpha, beta, and delta with baseline values of the nonlinear material parameters alpha, beta, and delta, wherein the baseline values of the nonlinear material parameters alpha, beta, and delta are previously measured values of the nonlinear material parameters alpha, beta, and delta with known integrity of the wellbore, further wherein the nonlinear material parameter alpha relates to a strength of hysteresis and the nonlinear material parameters beta and delta relate to acoustoelasticity.

2. The method of claim 1 , wherein the frequency of the pulsed sinusoidal acoustic signal determines a size of the subsurface volume of the wellbore that is probed, and the integrity of the wellbore is determined by increasing the size of the subsurface volume of the wellbore that is probed via one or more changes in the frequency of the pulsed sinusoidal acoustic signal, further wherein characteristics of subsurface materials determined by an initial probing of the subsurface volume of the wellbore with a smaller size of the probing is accounted for in a later probing of the subsurface volume of the wellbore with a larger size of the probing to determine characteristics of subsurface materials included in the larger size of the probing and not included in the smaller size of the probing.

3. The method of claim 1 , wherein the nonlinear material parameters alpha, beta, and delta include higher-order elastic moduli.

4. The method of claim 1 , where deviation of the values of the nonlinear material parameters alpha, beta, and delta from the baseline values of the nonlinear material parameters alpha, beta, and delta indicates formation of a defect in the subsurface volume of the wellbore.

5. The method of claim 4 , wherein:

the subsurface volume of the wellbore includes casing, rock, and concrete between the casing and the rock; and

the defect in the subsurface volume of the wellbore includes a defect in the casing, a defect in the rock, a defect in the concrete, a defect at casing-concrete interface, and/or a defect at rock-concrete interface.

6. The method of claim 4 , wherein an extent of the deviation of the values of the nonlinear material parameters alpha, beta, and delta from the baseline values of the nonlinear material parameters alpha, beta, and delta indicates an extent of the defect in the subsurface volume of the wellbore.

7. The method of claim 4 , wherein a type of the defect in the subsurface volume of the wellbore is determined based on the comparison of the values of the nonlinear material parameters alpha, beta, and delta with the baseline values of the nonlinear material parameters alpha, beta, and delta.

8. The method of claim 4 , wherein a location of the defect in the subsurface volume of the wellbore is determined based on the comparison of the values of the nonlinear material parameters alpha, beta, and delta with the baseline values of the nonlinear material parameters alpha, beta, and delta.

9. An apparatus that determines wellbore integrity, the apparatus comprising:

a first transceiver configured to transmit a pulsed sinusoidal acoustic signal through a subsurface volume of a wellbore, the pulsed sinusoidal acoustic signal having a frequency; and

a second transceiver configured to detect the pulsed sinusoidal acoustic signal transmitted though the subsurface volume of the wellbore;

wherein:

the second transceiver transmits, through the subsurface volume of the wellbore, a time-reversed acoustic signal of the pulsed sinusoidal acoustic signal, transmission of the time-reversed acoustic signal through the subsurface volume resulting in generation of focused acoustic signal in the subsurface volume of the wellbore;

the first transceiver detects the focused acoustic signal in the subsurface volume of the wellbore; and

the integrity of the wellbore is determined based on the focused acoustic signal in the subsurface volume of the wellbore, wherein determination of the integrity of the wellbore based on the focused acoustic signal in the subsurface volume of the wellbore includes determination of values of nonlinear material parameters alpha, beta, and delta in the subsurface volume of the wellbore based on the focused acoustic signal, and comparison of the values of the nonlinear material parameters alpha, beta, and delta with baseline values of the nonlinear material parameters alpha, beta, and delta, wherein the baseline values of the nonlinear material parameters alpha, beta, and delta are previously measured values of the nonlinear material parameters alpha, beta, and delta with known integrity of the wellbore, further wherein the nonlinear material parameter alpha relates to a strength of hysteresis and the nonlinear material parameters beta and delta relate to acoustoelasticity.

10. The system of claim 9 , wherein the frequency of the pulsed sinusoidal acoustic signal determines a size of the subsurface volume of the wellbore that is probed, and the integrity of the wellbore is determined by increasing the size of the subsurface volume of the wellbore that is probed via one or more changes in the frequency of the pulsed sinusoidal acoustic signal, further wherein characteristics of subsurface materials determined by an initial probing of the subsurface volume of the wellbore with a smaller size of the probing is accounted for in a later probing of the subsurface volume of the wellbore with a larger size of the probing to determine characteristics of subsurface materials included in the larger size of the probing and not included in the smaller size of the probing.

11. The system of claim 9 , wherein the nonlinear material parameters alpha, beta, and delta include higher-order elastic moduli.

12. The system of claim 9 , where deviation of the values of the nonlinear material parameters alpha, beta, and delta from the baseline values of the nonlinear material parameters alpha, beta, and delta indicates formation of a defect in the subsurface volume of the wellbore.

13. The system of claim 12 , wherein:

the subsurface volume of the wellbore includes casing, rock, and concrete between the casing and the rock; and

the defect in the subsurface volume of the wellbore includes a defect in the casing, a defect in the rock, a defect in the concrete, a defect at casing-concrete interface, and/or a defect at rock-concrete interface.

14. The system of claim 12 , wherein an extent of the deviation of the values of the nonlinear material parameters alpha, beta, and delta from the baseline values of the nonlinear material parameters alpha, beta, and delta indicates an extent of the defect in the subsurface volume of the wellbore.

15. The system of claim 12 , wherein a type of the defect in the subsurface volume of the wellbore is determined based on the comparison of the values of the nonlinear material parameters alpha, beta, and delta with the baseline values of the nonlinear material parameters alpha, beta, and delta.

16. The system of claim 12 , wherein a location of the defect in the subsurface volume of the wellbore is determined based on the comparison of the values of the nonlinear material parameters alpha, beta, and delta with the baseline values of the nonlinear material parameters alpha, beta, and delta.

Assignments (3)
CONFIRMATORY LICENSE Recorded Apr 9, 2021
From: TRIAD NATIONAL SECURITY, LLC
To: U.S. DEPARTMENT OF ENERGY
Reel/Frame 055880/0151 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2020
From: ULRICH, TIMOTHY JAMES, II
To: TRIAD NATIONAL SECURITY, LLC
Reel/Frame 054775/0138 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2020
From: GOODMAN, HARVEY EDWIN
To: CHEVRON U.S.A. INC.
Reel/Frame 054775/0180 →
Continuity (4)
Continuation In Part 16083441
Provisional Application 62306037 · Mar 9, 2016
Provisional Application 62367337 · Jul 27, 2016
Related Publication 20210018643A1 · Jan 21, 2021