Automated target-oriented acquisition design: Optimizing both source and receiver geometries

Sixue Wu*, Eric Verschuur, Gerrit Blacquière

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Imperfect spatial sampling causes lack of illumination at the target in the subsurface. The hampered image quality at the target area of interest can cause high uncertainties in reservoir monitoring and production, which can have a high economic impact. Previously we have presented a method that optimizes the receiver geometry while the source side is carpet shooting. In this work, we develop a method that optimizes both the source and receiver geometries in order to obtain a good illumination of a chosen target point, such that they can compensate the missing illumination for each other. With numerical examples, we demonstrate that the proposed method is effective.

Original languageEnglish
Pages142-146
DOIs
Publication statusPublished - 2020
EventSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 - San Antonio, United States
Duration: 15 Sept 201920 Sept 2019

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
Country/TerritoryUnited States
CitySan Antonio
Period15/09/1920/09/19

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