IP Library › Granted Patent US 12,326,533
Granted Patent B2
US 12,326,533 · App. 17/797,708 · Granted Jun 10, 2025

Method and apparatus for removing tube wave interference from optical fiber acoustic wave sensing seismic data

Inventors: Yanpeng Li (Beijing, CN); Fei Li (Beijing, CN)
Assignees: China National Petroleum Corporation; BGP Inc., China National Petroleum Corporation
G01V1/48G01V1/18
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,326,533
App. No.
17/797,708
Granted
Jun 10, 2025
Kind
B2
Abstract

A method for removing tube wave interference from optical fiber acoustic wave sensing seismic data, including: acquiring seismic wavefield data which contains a tube wave and is collected by an optical fiber acoustic wave sensing instrument; calculating a root-mean-square amplitude of the waveform data cut on the seismic trace as an amplitude normalization factor; performing normalization processing on the amplitude value; performing de-tail mean filtering processing on the normalized amplitude value along the travel time of the tube wave, to obtain a predicted amplitude value; performing tube wave interference removal processing on each seismic trace, and performing inverse normalization processing to obtain the seismic wavefield data without tube wave interference. The method effectively suppresses the tube wave interference in the optical fiber acoustic wave sensing seismic data. An apparatus for removing tube wave interference from optical fiber acoustic wave sensing seismic data, and a computer device are further provided.

Claims (33)

1. A method for removing tube wave interference from optical fiber acoustic wave sensing seismic data, the method comprising:

suspending optical fibers in a well, the optical fibers being connected to an optical fiber acoustic wave sensing instrument;

exciting a seismic wavefield by an explosion source or artificial vibroseis on the ground or in the well;

collecting, by the optical fiber acoustic wave sensing instrument, seismic wavefield data which contains a tube wave, wherein the seismic wavefield data comprises amplitude values at each sampling time point of seismic traces excited by a single shot, and the tube wave has an amplitude value that is inversely proportional to a degree of coupling between the optical fibers and a borehole wall of the well;

acquiring, by a processor, the seismic wavefield data;

downwardly cutting, by the processor, waveform data with a preset time window length on each seismic trace along travel time of the tube wave, and calculating, by the processor, a root-mean-square amplitude of the waveform data cut on the seismic trace as an amplitude normalization factor of the seismic trace;

performing, by the processor, normalization processing on the amplitude value of each seismic trace at each sampling time point based on the amplitude normalization factor of the seismic trace, to obtain a normalized amplitude value of the seismic trace at the sampling time point;

performing, by the processor, de-tail mean filtering processing on the normalized amplitude value of each seismic trace at each sampling time point along the travel time of the tube wave, to obtain a predicted amplitude value of the tube wave at the sampling time point;

performing, by the processor, tube wave interference removal processing on each seismic trace at each sampling time point based on the predicted amplitude value of the tube wave at the sampling time point, and performing, by the processor, inverse normalization processing on the seismic trace at the sampling time point using the amplitude normalization factor of the seismic trace, so as to obtain the seismic wavefield data without tube wave interference; and

performing seismic exploration using the seismic wavefield data without tube wave interference.

2. The method according to claim 1 , wherein performing the de-tail mean filtering processing on the normalized amplitude value of each seismic trace at each sampling time point along the travel time of the tube wave, to obtain a predicted amplitude value of the tube wave at the sampling time point, comprises:

sorting the normalized amplitude values of the seismic traces at each sampling time point along a direction of the travel time of the tube wave, removing the first n normalized amplitude values and the last n normalized amplitude values, and performing a mean value calculation on the remaining normalized amplitude values to obtain the predicted amplitude value of the tube wave at the sampling time point, where n is a positive integer.

3. The method according to claim 2 , wherein a value of n is less than half of a total number of the seismic traces involved in filtering.

4. The method according to claim 1 , wherein:

performing the normalization processing on the amplitude value of each seismic trace at each sampling time point based on the amplitude normalization factor of the seismic trace, to obtain the normalized amplitude value of the seismic trace at the sampling time point, comprises: dividing the amplitude value of each seismic trace at each sampling time point by the amplitude normalization factor of the seismic trace, to obtain the normalized amplitude value at the sampling time point of the seismic trace; and

performing the tube wave interference removal processing on each seismic trace at each sampling time point based on the predicted amplitude value of the tube wave at the sampling time point, and performing the inverse normalization processing on the seismic trace at the sampling time point using the amplitude normalization factor of the seismic trace to obtain the seismic wavefield data without the tube wave interference, comprises: subtracting the predicted amplitude value of the tube wave at each sampling time point from the normalized amplitude value of each seismic trace at the sampling time point to obtain a result, and multiplying the result by the amplitude normalization factor of the seismic trace to obtain the seismic wavefield data without the tube wave interference.

5. The method according to claim 1 , wherein the preset time window length is 2 to 10 times of a dominant period of the tube wave.

6. An apparatus comprising:

optical fibers for being suspended in a well;

an optical fiber acoustic wave sensing instrument connected to the optical fibers and configured to collect seismic wavefield data which contains a tube wave, wherein the seismic wavefield data comprises amplitude values at each sampling time point of seismic traces excited by a single shot, the tube wave has an amplitude value that is inversely proportional to a degree of coupling between the optical fibers and a borehole wall of the well, and the seismic wavefield is excited by an explosion source or artificial vibroseis on the ground or in the well;

a seismic wavefield data acquisition unit configured to acquire the seismic wavefield data;

a normalization factor determination unit configured to downwardly cut waveform data with a preset time window length on each seismic trace along travel time of the tube wave, and calculate a root-mean-square amplitude of the waveform data cut on the seismic trace as an amplitude normalization factor of the seismic trace;

a normalization processing unit configured to perform normalization processing on the amplitude value of each seismic trace at each sampling time point based on the amplitude normalization factor of the seismic trace, to obtain a normalized amplitude value of the seismic trace at the sampling time point;

a tube wave amplitude prediction unit configured to perform de-tail mean filtering processing on the normalized amplitude value of each seismic trace at each sampling time point along the travel time of the tube wave, to obtain a predicted amplitude value of the tube wave at the sampling time point; and

a tube wave interference removal unit configured to perform tube wave interference removal processing on each seismic trace at each sampling time point based on the predicted amplitude value of the tube wave at the sampling time point, and perform inverse normalization processing on the seismic trace at the sampling time point using the amplitude normalization factor of the seismic trace to obtain the seismic wavefield data without tube wave interference for seismic exploration.

7. The apparatus according to claim 6 , wherein the tube wave amplitude prediction unit is further configured to sort the normalized amplitude values of the seismic traces at each sampling time point along a direction of the travel time of the tube wave, remove the first n normalized amplitude values and the last n normalized amplitude values, and perform a mean value calculation on the remaining normalized amplitude values to obtain a predicted amplitude value of the tube wave at the sampling time point, where n is a positive integer.

8. The apparatus according to claim 6 , wherein the normalization factor determination unit is further configured to divide the amplitude value of each seismic trace at each sampling time point by the amplitude normalization factor of the seismic trace, to obtain the normalized amplitude value of the seismic trace at the sampling time point; and the tube wave interference removal unit is further configured to subtract the predicted amplitude value of the tube wave at each sampling time point from the normalized amplitude value of each seismic trace at the sampling time point to obtain a result, and multiply the result by the amplitude normalization factor of the seismic trace to obtain the seismic wavefield data without tube wave interference.

9. A computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor is configured to execute the computer program to implement a method for removing tube wave interference from optical fiber acoustic wave sensing seismic data, the method comprising:

acquiring seismic wavefield data which contains a tube wave and is collected by an optical fiber acoustic wave sensing instrument, wherein the optical fiber acoustic wave sensing instrument is connected to optical fibers that are suspended in a well, the seismic wavefield data comprises amplitude values at each sampling time point of seismic traces excited by a single shot, the tube wave has an amplitude value that is inversely proportional to a degree of coupling between the optical fibers and a borehole wall of the well, and the seismic wavefield is excited by an explosion source or artificial vibroseis on the ground or in the well;

downwardly cutting waveform data with a preset time window length on each seismic trace along travel time of the tube wave, and calculating a root-mean-square amplitude of the waveform data cut on the seismic trace as an amplitude normalization factor of the seismic trace;

performing normalization processing on the amplitude value of each seismic trace at each sampling time point based on the amplitude normalization factor of the seismic trace, to obtain a normalized amplitude value of the seismic trace at the sampling time point;

performing de-tail mean filtering processing on the normalized amplitude value of each seismic trace at each sampling time point along the travel time of the tube wave, to obtain a predicted amplitude value of the tube wave at the sampling time point; and

performing tube wave interference removal processing on each seismic trace at each sampling time point based on the predicted amplitude value of the tube wave at the sampling time point, and performing inverse normalization processing on the seismic trace at the sampling time point using the amplitude normalization factor of the seismic trace, so as to obtain the seismic wavefield data without tube wave interference for seismic exploration.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 3, 2022
From: LI, YANPENG; LI, FEI
To: CHINA NATIONAL PETROLEUM CORPORATION; BGP INC.,CHINA NATIONAL PETROLEUM CORPORATION
Reel/Frame 061294/0318 →
Priority Claims (1)
CN 202010080534.5 · Feb 5, 2020 · national
Continuity (1)
Related Publication 20230072038A1 · Mar 9, 2023
References Cited (34)
US 4715019A · Medlin et al. · 1987 [cited by applicant]
US 5168470A · Dennis et al. · 1992 [cited by applicant]
US 6332507B1 · Naville et al. · 2001 [cited by applicant]
US 6724319B1 · Knaack et al. · 2004 [cited by applicant]
US 20030086335A1 · Naville et al. · 2003 [cited by applicant]
US 20040172197A1 · Fehmers et al. · 2004 [cited by applicant]
US 20210199832A1 · Wu · 2021 [cited by examiner]
CA 3042987A1 · 2018 [cited by applicant]
CN 1447132A · 2003 [cited by applicant]
CN 102692650A · 2012 [cited by applicant]
CN 102778692A · 2012 [cited by applicant]
CN 103782198A · 2014 [cited by applicant]
CN 104133247A · 2014 [cited by applicant]
CN 104216008A · 2014 [cited by applicant]
CN 106154321A · 2016 [cited by applicant]
CN 107526107A · 2017 [cited by examiner]
CN 108693561A · 2018 [cited by applicant]
CN 109557587A · 2019 [cited by applicant]
GB 201112154 · 2011 [cited by applicant]
Anonymos., “Time-Frequency Analysis Method and Its Application in Seismic Data Processing, China Doctoral Dissertations Full-Text”, pp. 109. [cited by applicant]
CN First office action dated Dec. 12, 2021 in Application No. CN202010080534.5 with English translation. [cited by applicant]
CN Office Action dated Jun. 20, 2022 in Application No. CN202010080534.5 with English translation. [cited by applicant]
International search report dated Apr. 25, 2021 in Application No. PCT/CN2021/074067. [cited by applicant]
Li. Y, et al., “Application of Large Array 3D-VSP Technology in Daqing Oilfield”, Petroleum Geophysical Exploration, 2011, vol. 46 No. 2, pp. 7. [cited by applicant]
Lindsey. N.J, et al., Fiber-optic network observations of earthquake wavefields: Fiber-optic earthquake observations, Geophysical Research Letters, 2017, pp. 22. [cited by applicant]
Ma. G, et al., “Numerical Simulation Method for Seismic Signal Detection in Distributed Acoustic Sensing Wells”, Petroleum Geophysical Exploration, vol. 55 No. 2, pp. 11. [cited by applicant]
Sun. J, et al., “Comprehensive application of geophysical data”, 202220010930, pp. 3. [cited by applicant]
Wang. S, et al., “Research on Cross-well Seismic and Joint Reservoir Prediction in Jiangqiao Areas in North Songliao Basin, Medicine & Public Health, China Doctoral Dissertations Full-Text Database, Basic Sciences”, Aug… [cited by applicant]
Zhagn. Q, et al., “Noise analysis and suppression method of fracturing microseismic field data,” Inner Mongolia Petrochemical, 2016, pp. 4. [cited by applicant]
Zhao. B, et al., “Yesterday, Today and Tomorrow of Downhole Seismic Technology: Development and Application Prospects of Downhole Seismic Technology”, Petroleum Geophysical Exploration, 2017, vol. 52 No. 5. pp. 14. [cited by applicant]
Zhou. R, et al., “Development Status and Prospect of Optical Fiber Seismic Wave Detection Technology,” Geophysical Exploration, 2020, pp. 3. [cited by applicant]
Zou. G, et al., “Dictionary of Energy”, Jan. 31, 1997, pp. 3. [cited by applicant]
Ashry I. et al., “Normalized Differential Method for Improving the Signal-to-noise Ratio of a Distributed Acoustic Sensor,” Applied Optics, Jun. 20, 2019, vol. 58(18), pp. 4933-4938. [cited by applicant]
EP Extended European Search Report dated Jul. 14, 2023, in Application No. 21749991.2. [cited by applicant]
Cited By (3)
US 12,663,308 US 12,669,626 US 12,730,238