A five component land seismic sensor for measuring lateral gradients of the wavefield.
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| Title: | A five component land seismic sensor for measuring lateral gradients of the wavefield. |
|---|---|
| Authors: | Muyzert, Everhard1 emuyzert@slb.com, Allouche, Nihed1, Edme, Pascal1, Goujon, Nicolas2 |
| Source: | Geophysical Prospecting. Jan2019, Vol. 67 Issue 1, p97-113. 17p. 5 Color Photographs, 1 Black and White Photograph, 10 Graphs. |
| Subjects: | Seismic response, Particle acceleration, Accelerometers, Geophone, Seismometers |
| Abstract: | We built a five‐component (5C) land seismic sensor that measures both the three‐component (3C) particle acceleration and two vertical gradients of the horizontal wavefield through a pair of 3C microelectromechanical accelerometers. The sensor is a small cylindrical device planted vertically just below the earth's surface. We show that seismic acquisition and processing 5C sensor data has the potential to replace conventional seismic acquisition with analogue geophone groups by single 5C sensors placed at the same station interval when combined with a suitable aliased ground roll attenuation algorithm. The 5C sensor, therefore, allows for sparser, more efficient, data acquisition. The accuracy of the 5C sensor wavefield gradients depends on the 3C accelerometers, their sensitivity, self‐noise and their separation. These sensor component specifications are derived from various modelling studies. The design principles of the 5C sensor are validated using test data from purpose‐built prototypes. The final prototype was constructed with a pair of 3C accelerometers separated by 20 cm and with a self‐noise of 35 ng Hz−1/2. Results from a two‐dimensional seismic line show that the seismic image of 5C sensor data with ground roll attenuated using 5C sensor gradient data was comparable to simulated analogue group data as is the standard in the industry. This field example shows that up to three times aliased ground roll was attenuated. The 5C sensor also allows for correcting vertical component accelerometer data for sensor tilt. It is shown that a vertical component sensor that is misaligned with the vertical direction by 10° introduces an error in the seismic data of around –20 dB with respect to the seismic signal, which can be fully corrected. Advances in sensor specifications and processing algorithms are expected to lead to even more effective ground roll attenuation, enabling a reduction in the receiver density resulting in a smaller number of sensors that must be deployed and, therefore, improving the operational efficiency while maintaining image quality. [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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| Items | – Name: Title Label: Title Group: Ti Data: A five component land seismic sensor for measuring lateral gradients of the wavefield. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Muyzert%2C+Everhard%22">Muyzert, Everhard</searchLink><relatesTo>1</relatesTo><i> emuyzert@slb.com</i><br /><searchLink fieldCode="AR" term="%22Allouche%2C+Nihed%22">Allouche, Nihed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Edme%2C+Pascal%22">Edme, Pascal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Goujon%2C+Nicolas%22">Goujon, Nicolas</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Geophysical+Prospecting%22">Geophysical Prospecting</searchLink>. Jan2019, Vol. 67 Issue 1, p97-113. 17p. 5 Color Photographs, 1 Black and White Photograph, 10 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Seismic+response%22">Seismic response</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+acceleration%22">Particle acceleration</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerometers%22">Accelerometers</searchLink><br /><searchLink fieldCode="DE" term="%22Geophone%22">Geophone</searchLink><br /><searchLink fieldCode="DE" term="%22Seismometers%22">Seismometers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We built a five‐component (5C) land seismic sensor that measures both the three‐component (3C) particle acceleration and two vertical gradients of the horizontal wavefield through a pair of 3C microelectromechanical accelerometers. The sensor is a small cylindrical device planted vertically just below the earth's surface. We show that seismic acquisition and processing 5C sensor data has the potential to replace conventional seismic acquisition with analogue geophone groups by single 5C sensors placed at the same station interval when combined with a suitable aliased ground roll attenuation algorithm. The 5C sensor, therefore, allows for sparser, more efficient, data acquisition. The accuracy of the 5C sensor wavefield gradients depends on the 3C accelerometers, their sensitivity, self‐noise and their separation. These sensor component specifications are derived from various modelling studies. The design principles of the 5C sensor are validated using test data from purpose‐built prototypes. The final prototype was constructed with a pair of 3C accelerometers separated by 20 cm and with a self‐noise of 35 ng Hz−1/2. Results from a two‐dimensional seismic line show that the seismic image of 5C sensor data with ground roll attenuated using 5C sensor gradient data was comparable to simulated analogue group data as is the standard in the industry. This field example shows that up to three times aliased ground roll was attenuated. The 5C sensor also allows for correcting vertical component accelerometer data for sensor tilt. It is shown that a vertical component sensor that is misaligned with the vertical direction by 10° introduces an error in the seismic data of around –20 dB with respect to the seismic signal, which can be fully corrected. Advances in sensor specifications and processing algorithms are expected to lead to even more effective ground roll attenuation, enabling a reduction in the receiver density resulting in a smaller number of sensors that must be deployed and, therefore, improving the operational efficiency while maintaining image quality. [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: 10.1111/1365-2478.12716 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 97 Subjects: – SubjectFull: Seismic response Type: general – SubjectFull: Particle acceleration Type: general – SubjectFull: Accelerometers Type: general – SubjectFull: Geophone Type: general – SubjectFull: Seismometers Type: general Titles: – TitleFull: A five component land seismic sensor for measuring lateral gradients of the wavefield. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muyzert, Everhard – PersonEntity: Name: NameFull: Allouche, Nihed – PersonEntity: Name: NameFull: Edme, Pascal – PersonEntity: Name: NameFull: Goujon, Nicolas IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 00168025 Numbering: – Type: volume Value: 67 – Type: issue Value: 1 Titles: – TitleFull: Geophysical Prospecting Type: main |
| ResultId | 1 |