Study on Shear Velocity Profile Inversion Using an Improved High Frequency Constrained Algorithm Article Swipe
Qing Ye
,
Huafeng Sun
,
Zhiqiang Jin
,
Bing Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en16010059
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en16010059
The formation shear-wave (S-wave)’s velocity information around a borehole is of great importance in evaluating borehole stability, reflecting fluid invasion, and selecting perforation positions. Dipole acoustic logging is an effective method for determining a formation S-wave’s velocity radial profile around the borehole. Currently, the formation S-wave’s radial-profile inversion methods are mainly based on the impacts of radial velocity changes of formations outside the borehole on the dispersion characteristics of dipole waveforms, without considering the impacts of an acoustic tool on the dispersion curves in the inversion methods. Accordingly, the inversion accuracy is greatly impacted in practical data-processing applications. In this paper, a novel inversion algorithm, which introduces equivalent-tool theory into the shear-velocity radial profile constrained-inversion method, is proposed to obtain the S-wave’s slowness radial profile. Based on the equivalent-tool theory, the acoustic tool can be modeled using two parameters, radius and elastic modulus. The tool’s impact on the dipole waveform’s dispersion is eliminated first by using the equivalent-tool theory. Then, the corrected dispersion curve is used to carry out the constrained inversion processing. The results of this processing on the simulation data and the real logging data show the validity of the proposed algorithm.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16010059
- https://www.mdpi.com/1996-1073/16/1/59/pdf?version=1672388488
- OA Status
- gold
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313470282
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313470282Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en16010059Digital Object Identifier
- Title
-
Study on Shear Velocity Profile Inversion Using an Improved High Frequency Constrained AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-21Full publication date if available
- Authors
-
Qing Ye, Huafeng Sun, Zhiqiang Jin, Bing WangList of authors in order
- Landing page
-
https://doi.org/10.3390/en16010059Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/16/1/59/pdf?version=1672388488Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/16/1/59/pdf?version=1672388488Direct OA link when available
- Concepts
-
Borehole, Inversion (geology), Slowness, Geology, Shear velocity, Inverse transform sampling, Dipole, Acoustics, Algorithm, Mechanics, Surface wave, Computer science, Seismology, Physics, Optics, Geotechnical engineering, Turbulence, Quantum mechanics, TectonicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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18Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
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| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
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| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Energies |
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| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S198098182 |
| primary_location.source.issn | 1996-1073 |
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| primary_location.source.host_organization | https://openalex.org/P4310310987 |
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| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1996-1073/16/1/59/pdf?version=1672388488 |
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| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Energies |
| primary_location.landing_page_url | https://doi.org/10.3390/en16010059 |
| publication_date | 2022-12-21 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W1999964018, https://openalex.org/W2084629178, https://openalex.org/W2096017314, https://openalex.org/W2098070342, https://openalex.org/W2185353626, https://openalex.org/W2593626431, https://openalex.org/W3043378751, https://openalex.org/W1999070203, https://openalex.org/W2033018204, https://openalex.org/W2114269854, https://openalex.org/W2030446975, https://openalex.org/W1977671470, https://openalex.org/W2333165071, https://openalex.org/W2108640544, https://openalex.org/W2742490019, https://openalex.org/W2048313586, https://openalex.org/W1973292849, https://openalex.org/W2030534583 |
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| cited_by_percentile_year | |
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| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I204553293, https://openalex.org/I2799486974 |
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| citation_normalized_percentile.is_in_top_10_percent | False |