Multi-trace basis pursuit inversion with spatial regularization

Rui Zhang, Mrinal K. Sen, Sanjay Srinivasan

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Basis pursuit inversion (BPI) was developed to derive spiky reflection coefficients, which was applied on post-stack seismic data trace-by-trace for subsurface reflectivity. Such a trace-by-trace operation has no control on lateral continuity. To address this, we extend the former BPI to a multi-trace procedure with spatial regularization - a spatial derivative operator - to stabilize the lateral variation. The original objective function of BPI is reformed with a 'Z' shape spatial derivative imposed, which can balance the lateral continuity and vertical resolution. Synthetic tests show improved lateral continuity by spatial regularized BPI in the case of noise contamination. Real data applications demonstrate its effectiveness to enhance the lateral continuity of inverted spiky reflectivity.

Original languageEnglish (US)
Article number035012
JournalJournal of Geophysics and Engineering
Volume10
Issue number3
DOIs
StatePublished - Jun 1 2013

Fingerprint

continuity
inversions
reflectance
reflectivity
Derivatives
Contamination
seismic data
contamination
operators
inversion

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Geology
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law

Cite this

@article{a89832af95a14251b639dd410fc95c6e,
title = "Multi-trace basis pursuit inversion with spatial regularization",
abstract = "Basis pursuit inversion (BPI) was developed to derive spiky reflection coefficients, which was applied on post-stack seismic data trace-by-trace for subsurface reflectivity. Such a trace-by-trace operation has no control on lateral continuity. To address this, we extend the former BPI to a multi-trace procedure with spatial regularization - a spatial derivative operator - to stabilize the lateral variation. The original objective function of BPI is reformed with a 'Z' shape spatial derivative imposed, which can balance the lateral continuity and vertical resolution. Synthetic tests show improved lateral continuity by spatial regularized BPI in the case of noise contamination. Real data applications demonstrate its effectiveness to enhance the lateral continuity of inverted spiky reflectivity.",
author = "Rui Zhang and Sen, {Mrinal K.} and Sanjay Srinivasan",
year = "2013",
month = "6",
day = "1",
doi = "10.1088/1742-2132/10/3/035012",
language = "English (US)",
volume = "10",
journal = "Journal of Geophysics and Engineering",
issn = "1742-2132",
publisher = "IOP Publishing Ltd.",
number = "3",

}

Multi-trace basis pursuit inversion with spatial regularization. / Zhang, Rui; Sen, Mrinal K.; Srinivasan, Sanjay.

In: Journal of Geophysics and Engineering, Vol. 10, No. 3, 035012, 01.06.2013.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Multi-trace basis pursuit inversion with spatial regularization

AU - Zhang, Rui

AU - Sen, Mrinal K.

AU - Srinivasan, Sanjay

PY - 2013/6/1

Y1 - 2013/6/1

N2 - Basis pursuit inversion (BPI) was developed to derive spiky reflection coefficients, which was applied on post-stack seismic data trace-by-trace for subsurface reflectivity. Such a trace-by-trace operation has no control on lateral continuity. To address this, we extend the former BPI to a multi-trace procedure with spatial regularization - a spatial derivative operator - to stabilize the lateral variation. The original objective function of BPI is reformed with a 'Z' shape spatial derivative imposed, which can balance the lateral continuity and vertical resolution. Synthetic tests show improved lateral continuity by spatial regularized BPI in the case of noise contamination. Real data applications demonstrate its effectiveness to enhance the lateral continuity of inverted spiky reflectivity.

AB - Basis pursuit inversion (BPI) was developed to derive spiky reflection coefficients, which was applied on post-stack seismic data trace-by-trace for subsurface reflectivity. Such a trace-by-trace operation has no control on lateral continuity. To address this, we extend the former BPI to a multi-trace procedure with spatial regularization - a spatial derivative operator - to stabilize the lateral variation. The original objective function of BPI is reformed with a 'Z' shape spatial derivative imposed, which can balance the lateral continuity and vertical resolution. Synthetic tests show improved lateral continuity by spatial regularized BPI in the case of noise contamination. Real data applications demonstrate its effectiveness to enhance the lateral continuity of inverted spiky reflectivity.

UR - http://www.scopus.com/inward/record.url?scp=84878780488&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878780488&partnerID=8YFLogxK

U2 - 10.1088/1742-2132/10/3/035012

DO - 10.1088/1742-2132/10/3/035012

M3 - Article

AN - SCOPUS:84878780488

VL - 10

JO - Journal of Geophysics and Engineering

JF - Journal of Geophysics and Engineering

SN - 1742-2132

IS - 3

M1 - 035012

ER -