Iterative joint inversion of P-wave and S-wave crosswell traveltime data

Tieyuan Zhu, Jerry M. Harris

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Joint inversion of multiple geophysical data-sets is promising to reduce uncertainties in independently inverted models. Here, we present an iterative joint inversion approach for P and S traveltime data using cross-gradient function as constraint term. This type of joint inversion scheme links independent inversions through iterations and the cross-gradient function. The primary advantage of this joint inversion strategy is to avoid determining relative weighting of different data-sets. To investigate the performance of this method, we test our algorithm in synthetic examples of P and S traveltime data and field data acquired in west Texas. The results of synthetic example show that the joint inversion significantly reduces the ambiguities of inverted models and improves the identification of boundaries. In results of field data, jointly inverted S velocities have better correlation with P velocities. Moreover, lithologies delineated from Vp/Vs map by joint inversion matches log data very well and also shows clearly a dipping structure below reservoir that was not shown in previous crosswell tomography results.

Original languageEnglish (US)
Pages (from-to)479-483
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume30
Issue number1
DOIs
StatePublished - Jan 1 2011

Fingerprint

P waves
S waves
P-wave
S-wave
inversions
Lithology
Tomography
Identification (control systems)
gradients
lithology
inversion
dipping
ambiguity
tomography
iteration
Uncertainty

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

Cite this

@article{b151078b65fc41e6ac403dc48f8642ce,
title = "Iterative joint inversion of P-wave and S-wave crosswell traveltime data",
abstract = "Joint inversion of multiple geophysical data-sets is promising to reduce uncertainties in independently inverted models. Here, we present an iterative joint inversion approach for P and S traveltime data using cross-gradient function as constraint term. This type of joint inversion scheme links independent inversions through iterations and the cross-gradient function. The primary advantage of this joint inversion strategy is to avoid determining relative weighting of different data-sets. To investigate the performance of this method, we test our algorithm in synthetic examples of P and S traveltime data and field data acquired in west Texas. The results of synthetic example show that the joint inversion significantly reduces the ambiguities of inverted models and improves the identification of boundaries. In results of field data, jointly inverted S velocities have better correlation with P velocities. Moreover, lithologies delineated from Vp/Vs map by joint inversion matches log data very well and also shows clearly a dipping structure below reservoir that was not shown in previous crosswell tomography results.",
author = "Tieyuan Zhu and Harris, {Jerry M.}",
year = "2011",
month = "1",
day = "1",
doi = "10.1190/1.3628126",
language = "English (US)",
volume = "30",
pages = "479--483",
journal = "SEG Technical Program Expanded Abstracts",
issn = "1052-3812",
publisher = "Society of Exploration Geophysicists",
number = "1",

}

Iterative joint inversion of P-wave and S-wave crosswell traveltime data. / Zhu, Tieyuan; Harris, Jerry M.

In: SEG Technical Program Expanded Abstracts, Vol. 30, No. 1, 01.01.2011, p. 479-483.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Iterative joint inversion of P-wave and S-wave crosswell traveltime data

AU - Zhu, Tieyuan

AU - Harris, Jerry M.

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Joint inversion of multiple geophysical data-sets is promising to reduce uncertainties in independently inverted models. Here, we present an iterative joint inversion approach for P and S traveltime data using cross-gradient function as constraint term. This type of joint inversion scheme links independent inversions through iterations and the cross-gradient function. The primary advantage of this joint inversion strategy is to avoid determining relative weighting of different data-sets. To investigate the performance of this method, we test our algorithm in synthetic examples of P and S traveltime data and field data acquired in west Texas. The results of synthetic example show that the joint inversion significantly reduces the ambiguities of inverted models and improves the identification of boundaries. In results of field data, jointly inverted S velocities have better correlation with P velocities. Moreover, lithologies delineated from Vp/Vs map by joint inversion matches log data very well and also shows clearly a dipping structure below reservoir that was not shown in previous crosswell tomography results.

AB - Joint inversion of multiple geophysical data-sets is promising to reduce uncertainties in independently inverted models. Here, we present an iterative joint inversion approach for P and S traveltime data using cross-gradient function as constraint term. This type of joint inversion scheme links independent inversions through iterations and the cross-gradient function. The primary advantage of this joint inversion strategy is to avoid determining relative weighting of different data-sets. To investigate the performance of this method, we test our algorithm in synthetic examples of P and S traveltime data and field data acquired in west Texas. The results of synthetic example show that the joint inversion significantly reduces the ambiguities of inverted models and improves the identification of boundaries. In results of field data, jointly inverted S velocities have better correlation with P velocities. Moreover, lithologies delineated from Vp/Vs map by joint inversion matches log data very well and also shows clearly a dipping structure below reservoir that was not shown in previous crosswell tomography results.

UR - http://www.scopus.com/inward/record.url?scp=84857554996&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857554996&partnerID=8YFLogxK

U2 - 10.1190/1.3628126

DO - 10.1190/1.3628126

M3 - Article

AN - SCOPUS:84857554996

VL - 30

SP - 479

EP - 483

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

SN - 1052-3812

IS - 1

ER -