IP Library › Granted Patent US 12,455,393
Granted Patent B2
US 12,455,393 · App. 17/843,521 · Granted Oct 28, 2025

Seismic acquisition and processing with a high-speed train source

Inventors: Lu Liu (Beijing, CN); Yi Luo (Dhahran, SA)
Assignee: SAUDI ARABIAN OIL COMPANY
G01V1/345G01V1/143G01V1/20G01V1/303G01V1/364G01V2210/1295G01V2210/1425
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Quick Facts
Patent No.
US 12,455,393
App. No.
17/843,521
Granted
Oct 28, 2025
Kind
B2
Abstract

Systems and a method are disclosed. The method includes obtaining a plurality of raw seismic datasets for a subterranean region of interest, wherein each raw seismic dataset is generated by a high-speed train traversing a train track at a unique speed. The method further includes determining a plurality of processed seismic datasets by processing each of the plurality of raw seismic datasets and determining a final seismic dataset by combining the plurality of processed seismic datasets. The method still further includes identifying subterranean features within the subterranean region of interest using the final seismic dataset.

Claims (43)

1. A method, comprising:

performing a seismic survey of a subterranean region of interest comprising, for each unique speed among a plurality of unique speeds:

traversing a high-speed train across a train track at each unique speed, wherein the train track is coupled to the subterranean region of interest,

generating, using the high-speed train, seismic waves that propagate through the subterranean region of interest, and

detecting and recording, by an array of receivers, the seismic waves as each raw seismic dataset among a plurality of raw seismic datasets,

determining, using a seismic processing system, a plurality of processed seismic datasets by processing each raw seismic dataset,

wherein processing each raw seismic dataset comprises:

modeling a seismic wavelet based on a design of the high-speed train and each unique speed,

wherein the design comprises a number of one or more carriages of the high-speed train and a number of wheels per each of the one or more carriages; and

deconvolving the seismic wavelet from each raw seismic dataset,

determining, using the seismic processing system, a final seismic dataset by combining the plurality of processed seismic datasets;

identifying, using a seismic interpretation workstation, subterranean features within the subterranean region of interest using the final seismic dataset; and

identifying, using the seismic interpretation workstation, a hydrocarbon reservoir based, at least in part, on the subterranean features.

2. The method of claim 1 , wherein the train track comprises a plurality of piers coupling a track bed to the subterranean region of interest.

3. The method of claim 1 , wherein each unique speed is greater than 200 kilometers per hour.

4. The method of claim 1 , wherein processing each raw seismic dataset comprises:

determining a first processed seismic dataset by removing direct waves from each raw seismic dataset;

determining a second processed seismic dataset by correcting for normal moveout within the first processed seismic dataset;

determining a third processed seismic dataset by stacking the second processed seismic dataset; and

determining the plurality of processed seismic datasets by filtering the third processed seismic dataset for each raw seismic dataset.

5. The method of claim 4 , wherein correcting for normal moveout is based, at least in part, on each unique speed.

6. The method of claim 4 , wherein filtering comprises frequency-wavenumber filtering.

7. The method of claim 1 , wherein determining the final seismic dataset comprises multiplication of the plurality of processed seismic datasets.

8. The method of claim 1 , wherein the subterranean features comprise an anticline.

9. A system, comprising:

a seismic acquisition system configured to perform a seismic survey of a subterranean region of interest comprising, for each unique speed among a plurality of unique speeds:

a high-speed train configured to:

traverse a train track at each unique speed, wherein the train track is coupled to the subterranean region of interest; and

generate seismic waves that propagate through the subterranean region of interest, and

an array of seismic receivers configured to detect and record the seismic waves as each raw seismic dataset among a plurality of raw seismic datasets,

a seismic processing system configured to:

receive the plurality of raw seismic datasets,

determine a plurality of processed seismic datasets by processing each raw seismic dataset,

wherein processing each raw seismic dataset comprises:

modeling a seismic wavelet based on a design of the high-speed train and each unique speed,

 wherein the design comprises a number of one or more carriages of the high-speed train and a number of wheels per each of the one or more carriages, and

deconvolving the seismic wavelet from each raw seismic dataset; and

determine a final seismic dataset by combining the plurality of processed seismic datasets; and

a seismic interpretation workstation configured to:

identify subterranean features within the subterranean region of interest using the final seismic dataset, and

identify a hydrocarbon reservoir based, at least in part, on the subterranean features.

10. The system of claim 9 , wherein the train track comprises a plurality of piers coupling a track bed to the subterranean region of interest.

11. The system of claim 9 , wherein each unique speed is greater than 200 kilometers per hour.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2023
From: ARAMCO FAR EAST (BEIJING) BUSINESS SERVICES CO., LTD.
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 065238/0035 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 17, 2023
From: LUO, YI
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 062397/0962 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 17, 2023
From: LIU, LU
To: ARAMCO FAR EAST (BEIJING) BUSINESS SERVICES CO., LTD.
Reel/Frame 062397/0976 →
Continuity (2)
Provisional Application 63212041 · Jun 17, 2021
Related Publication 20220404516A1 · Dec 22, 2022
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