Multiple Events Detection in Seismic Structures Using A Novel U-Net Variant

Mustafa Alfarhan, Mohamed Deriche, Ahmed Maalej, Ghassan Alregib, Hasan Al-Marzouqi

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

6 Scopus citations

Abstract

Seismic data interpretation is a fundamental process in the pipeline of identifying hydrocarbon structural traps such as salt domes and faults. This process is highly demanding and challenging in terms of expert-knowledge, time, and efforts. The interpretation process becomes even more challenging when it comes to identifying multiple seismic events taking place simultaneously. In recent years, the technology trend has been directed towards the automation of seismic interpretation using advanced computational techniques and in particular deep learning (DL) networks. In this paper, we present our DL solution for concurrent salt domes and faults identification with very promising preliminary results obtained through applications to real world seismic data. The proposed workflow leads to excellent detection results even with small size training datasets. Furthermore, the resulting probability maps can be extended to even a larger number of structure types. Precisions of the order of more than 96% were obtained with real data when three types of seismic structures are present concurrently.

Original languageBritish English
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE Computer Society
Pages2900-2904
Number of pages5
ISBN (Electronic)9781728163956
DOIs
StatePublished - Oct 2020
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 25 Sep 202028 Sep 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period25/09/2028/09/20

Keywords

  • deconvolutional neural networks (DCNN)
  • fault
  • salt dome
  • Seismic interpretation

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