Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion

Matteo Caporal; Gerrit Blacquière; Shan Qu

doi:10.3997/2214-4609.201801240

Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion

Matteo Caporal, Gerrit Blacquière, Shan Qu

Applied Geophysics and Petrophysics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

A major practical advantage of the Dispersed Source Array (DSA) concept is that most of its source units are smaller and less powerful than conventional sources providing the acquisition system with increased operational flexibility. To handle the larger number of sources simultaneously operational in the field, we propose to organize the acquisition system in an automated and decentralized manner. We demonstrate that, by applying this strategy it is possible to produce valid image results even without rigorously strict survey design. Finally, we prove that using the Simultaneous Joint Migration Inversion (SJMI) technology it is possible to reliably recover time-lapse information even when a significant mismatch between baseline and monitor survey geometries is introduced by
the system decentralization.

Original language	English
Title of host publication	80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark
Number of pages	5
DOIs	https://doi.org/10.3997/2214-4609.201801240
Publication status	Published - 2018
Event	80th EAGE Conference and Exhibition 2018: Opportunities presented by the energy transition - Copenhagen, Denmark Duration: 11 Jun 2018 → 14 Jun 2018 Conference number: 80 https://events.eage.org/2018/EAGE%20Annual%202018

Conference

Conference	80th EAGE Conference and Exhibition 2018
Abbreviated title	EAGE 2018
Country/Territory	Denmark
City	Copenhagen
Period	11/06/18 → 14/06/18
Internet address	https://events.eage.org/2018/EAGE%20Annual%202018

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10.3997/2214-4609.201801240

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@inproceedings{dff06c0c9f1748cda133124486544897,

title = "Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion",

abstract = "A major practical advantage of the Dispersed Source Array (DSA) concept is that most of its source units are smaller and less powerful than conventional sources providing the acquisition system with increased operational flexibility. To handle the larger number of sources simultaneously operational in the field, we propose to organize the acquisition system in an automated and decentralized manner. We demonstrate that, by applying this strategy it is possible to produce valid image results even without rigorously strict survey design. Finally, we prove that using the Simultaneous Joint Migration Inversion (SJMI) technology it is possible to reliably recover time-lapse information even when a significant mismatch between baseline and monitor survey geometries is introduced bythe system decentralization.",

author = "Matteo Caporal and Gerrit Blacqui{\`e}re and Shan Qu",

year = "2018",

doi = "10.3997/2214-4609.201801240",

language = "English",

booktitle = "80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark",

note = "80th EAGE Conference and Exhibition 2018 : Opportunities presented by the energy transition, EAGE 2018 ; Conference date: 11-06-2018 Through 14-06-2018",

url = "https://events.eage.org/2018/EAGE%20Annual%202018",

}

Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion. / Caporal, Matteo; Blacquière, Gerrit ; Qu, Shan.
80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark. 2018.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion

AU - Caporal, Matteo

AU - Blacquière, Gerrit

AU - Qu, Shan

N1 - Conference code: 80

PY - 2018

Y1 - 2018

N2 - A major practical advantage of the Dispersed Source Array (DSA) concept is that most of its source units are smaller and less powerful than conventional sources providing the acquisition system with increased operational flexibility. To handle the larger number of sources simultaneously operational in the field, we propose to organize the acquisition system in an automated and decentralized manner. We demonstrate that, by applying this strategy it is possible to produce valid image results even without rigorously strict survey design. Finally, we prove that using the Simultaneous Joint Migration Inversion (SJMI) technology it is possible to reliably recover time-lapse information even when a significant mismatch between baseline and monitor survey geometries is introduced bythe system decentralization.

AB - A major practical advantage of the Dispersed Source Array (DSA) concept is that most of its source units are smaller and less powerful than conventional sources providing the acquisition system with increased operational flexibility. To handle the larger number of sources simultaneously operational in the field, we propose to organize the acquisition system in an automated and decentralized manner. We demonstrate that, by applying this strategy it is possible to produce valid image results even without rigorously strict survey design. Finally, we prove that using the Simultaneous Joint Migration Inversion (SJMI) technology it is possible to reliably recover time-lapse information even when a significant mismatch between baseline and monitor survey geometries is introduced bythe system decentralization.

U2 - 10.3997/2214-4609.201801240

DO - 10.3997/2214-4609.201801240

M3 - Conference contribution

BT - 80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark

T2 - 80th EAGE Conference and Exhibition 2018

Y2 - 11 June 2018 through 14 June 2018

ER -

Decentralized Dispersed Source Array Acquisition and Time-Lapse Applications Using Simultaneous Joint Migration Inversion

Abstract

Conference

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