Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs.
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| Title: | Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs. |
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| Authors: | Krampe, Valérie1 (AUTHOR) valerie.krampe@erdw.ethz.ch, Edme, Pascal1 (AUTHOR), Maurer, Hansruedi1 (AUTHOR) |
| Source: | Geophysical Prospecting. Jan2021, Vol. 69 Issue 1, p152-166. 15p. |
| Subjects: | Earthquake resistant design, Experimental design, Hessian matrices, Variable costs, Imaging systems in seismology, Seismic surveys |
| Abstract: | Optimized experimental design aims at reducing the cost of a seismic survey by identifying the optimal locations and amounts of sources and receivers. While the acquisition design in the context of seismic imaging applies criteria like fold, offset and spatial sampling, different attributes such as the sensitivity kernels are more relevant for seismic full waveform inversion. An ideal measure to quantify the goodness of an acquisition design relies on the eigenvalue spectrum of the approximate Hessian matrix, but this technique is computationally too expensive for practical use. A more affordable goodness measure has been proposed in the past, but we demonstrate that this measure is inappropriate for target‐oriented optimized experimental design. To address those issues, we derived a sequential receiver‐based procedure using a goodness measure based on the determinant of the approximate Hessian matrix. We show with numerical tests that it efficiently provides an optimized design for target‐oriented as well as for extensive full waveform inversion. This design allows a better reconstruction of the subsurface than an evenly spaced acquisition geometry. Furthermore, the optimization algorithm itself can easily be parallelized, therefore making it attractive for applications to large‐scale three‐dimensional surveys. In addition, our algorithm is able to incorporate variable costs, representing any kind of acquisition‐related costs, for every individual source location. The combined optimization with respect to the information content of sources and to the true cost will allow a more comprehensive and realistic survey planning and has a high potential for further applications. [ABSTRACT FROM AUTHOR] |
| Copyright of Geophysical Prospecting is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 147580641 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Krampe%2C+Valérie%22">Krampe, Valérie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> valerie.krampe@erdw.ethz.ch</i><br /><searchLink fieldCode="AR" term="%22Edme%2C+Pascal%22">Edme, Pascal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maurer%2C+Hansruedi%22">Maurer, Hansruedi</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Geophysical+Prospecting%22">Geophysical Prospecting</searchLink>. Jan2021, Vol. 69 Issue 1, p152-166. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Earthquake+resistant+design%22">Earthquake resistant design</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Hessian+matrices%22">Hessian matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Variable+costs%22">Variable costs</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems+in+seismology%22">Imaging systems in seismology</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+surveys%22">Seismic surveys</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Optimized experimental design aims at reducing the cost of a seismic survey by identifying the optimal locations and amounts of sources and receivers. While the acquisition design in the context of seismic imaging applies criteria like fold, offset and spatial sampling, different attributes such as the sensitivity kernels are more relevant for seismic full waveform inversion. An ideal measure to quantify the goodness of an acquisition design relies on the eigenvalue spectrum of the approximate Hessian matrix, but this technique is computationally too expensive for practical use. A more affordable goodness measure has been proposed in the past, but we demonstrate that this measure is inappropriate for target‐oriented optimized experimental design. To address those issues, we derived a sequential receiver‐based procedure using a goodness measure based on the determinant of the approximate Hessian matrix. We show with numerical tests that it efficiently provides an optimized design for target‐oriented as well as for extensive full waveform inversion. This design allows a better reconstruction of the subsurface than an evenly spaced acquisition geometry. Furthermore, the optimization algorithm itself can easily be parallelized, therefore making it attractive for applications to large‐scale three‐dimensional surveys. In addition, our algorithm is able to incorporate variable costs, representing any kind of acquisition‐related costs, for every individual source location. The combined optimization with respect to the information content of sources and to the true cost will allow a more comprehensive and realistic survey planning and has a high potential for further applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Geophysical Prospecting is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/1365-2478.13040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 152 Subjects: – SubjectFull: Earthquake resistant design Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Hessian matrices Type: general – SubjectFull: Variable costs Type: general – SubjectFull: Imaging systems in seismology Type: general – SubjectFull: Seismic surveys Type: general Titles: – TitleFull: Optimized experimental design for seismic full waveform inversion: A computationally efficient method including a flexible implementation of acquisition costs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krampe, Valérie – PersonEntity: Name: NameFull: Edme, Pascal – PersonEntity: Name: NameFull: Maurer, Hansruedi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00168025 Numbering: – Type: volume Value: 69 – Type: issue Value: 1 Titles: – TitleFull: Geophysical Prospecting Type: main |
| ResultId | 1 |
