Multi-wave and multi-domain adaptive seismic horizon auto-tracking method and apparatus

Patent metadata

Field	Value
Publication number	US-2026050097-A1
Application number	US-202218996208-A
Country	US
Kind code	A1
Filing date	Sep 12, 2022
Priority date	Aug 8, 2022
Publication date	Feb 19, 2026
Grant date	—

Abstract

The present disclosure provides a multi-wave and multi-domain adaptive seismic horizon auto-tracking method and apparatus. The multi-wave and multi-domain adaptive seismic horizon auto-tracking method comprises: importing seismic data, and setting a seed point on the seismic data; determining a seismic relative resolution according to a seismic waveform of a seismic trace where the seed point is located; determining horizon tracking parameters according to the seismic relative resolution; determining a horizon point according to the horizon tracking parameters and the seismic trace where the seed point is located; replacing the seed point with the horizon point, and performing corresponding iterative calculation to obtain a plurality of horizon points in one-to-one correspondence with the seismic traces in the seismic data; and combining horizon values corresponding to the plurality of horizon points into seismic horizon data and exporting the seismic horizon data.

First claim

1 . A multi-wave and multi-domain adaptive seismic horizon auto-tracking method, comprising:
importing seismic data, and setting a seed point on the seismic data; determining a seismic relative resolution according to a seismic waveform of a seismic trace where the seed point is located; determining horizon tracking parameters according to the seismic relative resolution; determining a horizon point according to the seismic trace where the seed point is located and the horizon tracking parameters; replacing the seed point with the horizon point, and performing corresponding iterative calculation to obtain a plurality of horizon points in one-to-one correspondence with the seismic traces in the seismic data; and combining horizon values corresponding to the plurality of horizon points into seismic horizon data and exporting the seismic horizon data.

2 . The method according to claim 1 , wherein the step of determining the seismic relative resolution according to the seismic waveform of the seismic trace where the seed point is located comprises:
determining waveform extreme points according to the seismic waveform of the seismic trace where the seed point is located; and determining the seismic relative resolution according to a distance between the waveform extreme points.

3 . The method according to claim 1 , wherein the step of determining the horizon point according to the seismic trace where the seed point is located and the horizon tracking parameters comprises:
determining a waveform relative time difference according to the seismic trace where the seed point is located and the horizon tracking parameters; and determining the horizon point according to the horizon tracking parameters and the waveform relative time difference.

4 . The method according to claim 3 , wherein the horizon tracking parameters comprise a waveform feature point search window and a waveform similarity window;
the step of determining the waveform relative time difference according to the seismic trace where the seed point is located and the horizon tracking parameters comprises: determining an adjacent seismic trace of the seismic trace where the seed point is located as a target seismic trace; moving the target seismic trace within the waveform feature point search window, and determining a waveform similarity between the seismic trace where the seed point is located and the target seismic trace corresponding to each movement according to the waveform similarity window to obtain a similarity sequence; and determining a movement amount corresponding to a maximum value in the similarity sequence as the waveform relative time difference.

5 . The method according to claim 4 , wherein the step of determining the waveform similarity between the seismic trace where the seed point is located and the target seismic trace corresponding to each movement according to the waveform similarity window comprises:
determining a waveform length according to the waveform similarity window; and determining the waveform similarity between the seismic trace where the seed point is located and the target seismic trace corresponding to each movement according to the waveform length.

6 . The method according to claim 4 , wherein the horizon tracking parameters further comprise a waveform fitting window;
the step of determining the horizon point according to the horizon tracking parameters and the waveform relative time difference comprises: performing curve fitting on the similarity sequence in the waveform fitting window according to the waveform relative time difference to obtain a fitting curve, and determining a local maximum point of the fitting curve as the horizon point.

7 . A multi-wave and multi-domain adaptive seismic horizon auto-tracking apparatus, comprising:
a seed point setting module configured to import seismic data and set a seed point on the seismic data; a seismic relative resolution analysis module configured to determine a seismic relative resolution according to a seismic waveform of a seismic trace where the seed point is located; a horizon tracking parameter setting module configured to determine horizon tracking parameters according to the seismic relative resolution; a horizon point determination module configured to determine a horizon point according to the seismic trace where the seed point is located and the horizon tracking parameters; an iterative calculation module configured to replace the seed point with the horizon point, and performing corresponding iterative calculation to obtain a plurality of horizon points in one-to-one correspondence with the seismic traces in the seismic data; and a seismic horizon data export module configured to combine horizon values corresponding to the plurality of horizon points into seismic horizon data and export the seismic horizon data.

8 . The apparatus according to claim 7 , wherein the seismic relative resolution analysis module comprises:
a waveform extreme point determination unit configured to determine waveform extreme points according to the seismic waveform of the seismic trace where the seed point is located; and a seismic relative resolution analysis unit configured to determine the seismic relative resolution according to a distance between the waveform extreme points.

9 . The auto tracking apparatus according to claim 7 , wherein the horizon point determination module comprises:
a waveform relative time difference calculation unit configured to determine a waveform relative time difference according to the seismic trace where the seed point is located and the horizon tracking parameters; and a horizon point determination unit configured to determine the horizon point according to the horizon tracking parameters and the waveform relative time difference.

10 . The auto tracking apparatus according to claim 9 , wherein the horizon tracking parameters comprise a waveform feature point search window and a waveform similarity window;
the waveform relative time difference calculation unit comprises: a target seismic trace determination subunit configured to determine an adjacent seismic trace of the seismic trace where the seed point is located as a target seismic trace; a similarity calculation subunit configured to move the target seismic trace in the waveform feature point search window, determine a waveform similarity between the seismic trace where the seed point is located and the target seismic trace corresponding to each movement according to the waveform similarity window to obtain a similarity sequence; and a waveform relative time difference calculation subunit configured to determine a movement amount corresponding to a maximum value in the similarity sequence as the waveform relative time difference.

11 . The apparatus according to claim 10 , wherein the similarity calculation subunit is configured to:
determine a waveform length according to the waveform similarity window; and determine the waveform similarity between the seismic trace where the seed point is located and the target seismic trace corresponding to each movement according to the waveform length.

12 . The apparatus according to claim 10 , wherein the horizon tracking parameters further comprise a waveform fitting window;
the horizon point determination unit is configured to: perform curve fitting on the similarity sequence in the waveform fitting window according to the waveform relative time difference to obtain a fitting curve, and determine a local maximum point of the fitting curve as the horizon point.

13 . An electronic device, comprising a memory, a processor and a computer program st

Assignees

• China Nat Petroleum Corp
• Bgp Inc China Nat Pet Corp
• Cnpc Explor Software Co Ltd

Inventors

• Chen Maoshan
• Song Qianggong
• Deng Li
• Li Hong
• Liu Youfa

Classifications

• G01V2210/643

  Horizon tracking · CPC title

• G01V1/30

  Analysis (G01V1/50 takes precedence) · CPC title

• G01V1/301 Primary

  for determining seismic cross-sections or geostructures · CPC title

• G01V1/28 Primary

  Processing seismic data, e.g. for interpretation or for event detection (G01V1/48 takes precedence) · CPC title