T138 Applying Near Surface Geophysics to Solve Geological Problems

Wednesday, 28 October 2020
1:30 PM - 5:30 PM
Meeting Rooms


SEISMIC ATTRIBUTE FOR SEISMIC STRATIGRAPHY ANALYSIS

Paper number: T138-15
Program: Technical Sessions
Time: 4:30 PM – 4:40 PM


Authors

  • Bo Zhang Presenting Author
    University of Alabama, Tuscaloosa, AL

Abstract

Seismic stratigraphy analysis is based on the identification of seismic reflector termination and morphology of seismic textures that allow us to infer the sequence units. The typical seismic reflector terminations include truncation, toplap, onlap, and downlap that illustrate “convergent” features in the seismic images. In this research, we propose a workflow to automatically locate the seismic reflector terminations and define the sequence units. The algorithm consists of two steps: (1) identifying the sequence boundaries and (2) defining the sequence units. The algorithm of Identifying the sequence boundaries is based on the observation that seismic reflector converges or truncates at the sequence boundaries. As a result, the automatically tracked horizons also converge or truncate at the sequence boundaries. Thus, we can identify the sequence boundaries by analyzing the tracked horizons that converge or truncate at time samples of seismic images. Next, the algorithm automatically defines the type of identified sequence boundaries and the system tracks by analyzing the morphology of seismic textures. We illustrate the effectiveness of our algorithm by applying it on poststack seismic survey (F3) acquired over offshore Netherland. The application demonstrates that our algorithm not only accurately defines the sequence units but also obviously expedites the process of seismic stratigraphy analysis.

Geological Society of America Abstracts with Programs. Vol. 52, No. 6

doi: 10.1130/abs/2020AM-358787

© Copyright 2020 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.