The University of Southampton
University of Southampton Institutional Repository

Seismic inversion for near-surface applications and the derivation of geomechanical properties

Seismic inversion for near-surface applications and the derivation of geomechanical properties
Seismic inversion for near-surface applications and the derivation of geomechanical properties
Seismic inversion methods broadly fall in to two categories; conversion of seismic event amplitudes in to reflectivity or the analysis primarily of seismic event arrival times (and waveform shape) to derive a velocity model. These are generically referred to as Acoustic Impedance (AI) inversion and Full Waveform Inversion (FWI) respectively, the former typically working from processed seismic reflectivity data and the latter being derived during the processing phase. Both procedures have application in the characterisation of the rock properties of shallow stratigraphic sections, indeed FWI is specifically designed (and limited to) no deeper than approximately 1500m below the mudline (though this depth is dependent on seismic acquisition parameters; notably cable length, water column height and subsurface velocity). This paper will review several different approaches to AI inversion, which can be calibrated to derive rock mechanical properties, and discuss their application to the near surface. The paper will also demonstrate how FWI can yield a high resolution image of near surface velocity which improves the seismic image and thus enhances AI inversion results. Case studies will be used to demonstrate the procedures and contrast the advantages and disadvantages of different methods.
Fogg, Anthony
c0610d4b-e88c-4598-b6fb-a9c1fb8db0be
Fogg, Anthony
c0610d4b-e88c-4598-b6fb-a9c1fb8db0be

Fogg, Anthony (2019) Seismic inversion for near-surface applications and the derivation of geomechanical properties. 81st EAGE Conference and Exhibition 2019 Workshop Programme, London, United Kingdom. 03 - 06 Jun 2019.

Record type: Conference or Workshop Item (Paper)

Abstract

Seismic inversion methods broadly fall in to two categories; conversion of seismic event amplitudes in to reflectivity or the analysis primarily of seismic event arrival times (and waveform shape) to derive a velocity model. These are generically referred to as Acoustic Impedance (AI) inversion and Full Waveform Inversion (FWI) respectively, the former typically working from processed seismic reflectivity data and the latter being derived during the processing phase. Both procedures have application in the characterisation of the rock properties of shallow stratigraphic sections, indeed FWI is specifically designed (and limited to) no deeper than approximately 1500m below the mudline (though this depth is dependent on seismic acquisition parameters; notably cable length, water column height and subsurface velocity). This paper will review several different approaches to AI inversion, which can be calibrated to derive rock mechanical properties, and discuss their application to the near surface. The paper will also demonstrate how FWI can yield a high resolution image of near surface velocity which improves the seismic image and thus enhances AI inversion results. Case studies will be used to demonstrate the procedures and contrast the advantages and disadvantages of different methods.

Full text not available from this repository.

More information

Published date: 3 June 2019
Venue - Dates: 81st EAGE Conference and Exhibition 2019 Workshop Programme, London, United Kingdom, 2019-06-03 - 2019-06-06

Identifiers

Local EPrints ID: 433559
URI: https://eprints.soton.ac.uk/id/eprint/433559
PURE UUID: 2bb65ca9-68c5-4189-8760-a9d748836b2f
ORCID for Anthony Fogg: ORCID iD orcid.org/0000-0003-1213-4324

Catalogue record

Date deposited: 27 Aug 2019 16:30
Last modified: 10 Dec 2019 01:21

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×