Automatic First Arrival Picking for Seismic Data using Kalman Filter

Muhammad Esmat*, Bo Liu, Ali Al-Shaikhi, Sherif Hanafy, Mohamed Mohandes, Faramarz Fekri

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The first arrival time of seismic waves is a crucial parameter for seismic data analysis, which is used to determine the depth and location of subsurface structures. However, the estimation of first arrival time is often challenging due to the presence of noise and uncertainties in the data. In this study, we propose a novel approach that utilizes the Kalman filter with generalized likelihood ratio (GLR) to estimate the first arrival time in seismic data. First, a discrete time linear system with unknown amplitudes changes occurring at unknown time instants is used to reformulate the convolutional model. Then, to provide residual signals, we apply a Kalman filter based on the no change hypothesis to the linear system. Finally, to estimate the first arrival time, a generalized likelihood ratio (GLR)-based change detection technique is utilized. Using the simulated data, we verified the performance of the proposed approach. Overall, this study presents a promising approach for improving the accuracy of first arrival picking in the presence of different noise levels.

Original languageEnglish
Title of host publication2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335590
DOIs
StatePublished - 2023
Event2023 International Symposium on Networks, Computers and Communications, ISNCC 2023 - Doha, Qatar
Duration: 23 Oct 202326 Oct 2023

Publication series

Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023

Conference

Conference2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Country/TerritoryQatar
CityDoha
Period23/10/2326/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • First arrival picking
  • Kalman filter
  • seismic waves
  • signal processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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