Electromagnetic Subsurface Imaging in the Presence of Metallic Structures: A Review of Numerical Strategies.
Saved in:
| Title: | Electromagnetic Subsurface Imaging in the Presence of Metallic Structures: A Review of Numerical Strategies. |
|---|---|
| Authors: | Castillo-Reyes, Octavio1,2 (AUTHOR) octavio.castillo@upc.edu, Queralt, Pilar3 (AUTHOR), Piñas-Varas, Perla3 (AUTHOR), Ledo, Juanjo4 (AUTHOR), Rojas, Otilio2 (AUTHOR) |
| Source: | Surveys in Geophysics. Oct2024, Vol. 45 Issue 5, p1627-1661. 35p. |
| Subject Terms: | *Electrical resistivity, *Geophysics, *Inverse problems, *Soil mapping |
| Abstract: | Electromagnetic (EM) imaging aims to produce large-scale, high-resolution soil conductivity maps that provide essential information for Earth subsurface exploration. To rigorously generate EM subsurface models, one must address both the forward problem and the inverse problem. From these subsurface resistivity maps, also referred to as volumes of resistivity distribution, it is possible to extract useful information (lithology, temperature, porosity, permeability, among others) to improve our knowledge about geo-resources on which modern society depends (e.g., energy, groundwater, and raw materials, among others). However, this ability to detect electrical resistivity contrasts also makes EM imaging techniques sensitive to metallic structures whose EM footprint often exceeds their diminutive stature compared to surrounding materials. Depending on target applications, this behavior can be advantageous or disadvantageous. In this work, we review EM modeling and inverse solutions in the presence of metallic structures, emphasizing how these structures affect EM data acquisition and interpretation. By addressing the challenges posed by metallic structures, our aim is to enhance the accuracy and reliability of subsurface EM characterization, ultimately leading to improved management of geo-resources and environmental monitoring. Here, we consider the latter through the lens of a triple helix approach: physics behind metallic structures in EM modeling and imaging, development of computational tools (conventional strategies and artificial intelligence schemes), and configurations and applications. The literature review shows that, despite recent scientific advancements, EM imaging techniques are still being developed, as are software-based data processing and interpretation tools. Such progress must address geological complexities and metallic casing measurements integrity in increasing detail setups. We hope this review will provide inspiration for researchers to study the fascinating EM problem, as well as establishing a robust technological ecosystem to those interested in studying EM fields affected by metallic artifacts. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 180626313 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Electromagnetic Subsurface Imaging in the Presence of Metallic Structures: A Review of Numerical Strategies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Castillo-Reyes%2C+Octavio%22">Castillo-Reyes, Octavio</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> octavio.castillo@upc.edu</i><br /><searchLink fieldCode="AR" term="%22Queralt%2C+Pilar%22">Queralt, Pilar</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Piñas-Varas%2C+Perla%22">Piñas-Varas, Perla</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ledo%2C+Juanjo%22">Ledo, Juanjo</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rojas%2C+Otilio%22">Rojas, Otilio</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Surveys+in+Geophysics%22">Surveys in Geophysics</searchLink>. Oct2024, Vol. 45 Issue 5, p1627-1661. 35p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Electrical+resistivity%22">Electrical resistivity</searchLink><br />*<searchLink fieldCode="DE" term="%22Geophysics%22">Geophysics</searchLink><br />*<searchLink fieldCode="DE" term="%22Inverse+problems%22">Inverse problems</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+mapping%22">Soil mapping</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Electromagnetic (EM) imaging aims to produce large-scale, high-resolution soil conductivity maps that provide essential information for Earth subsurface exploration. To rigorously generate EM subsurface models, one must address both the forward problem and the inverse problem. From these subsurface resistivity maps, also referred to as volumes of resistivity distribution, it is possible to extract useful information (lithology, temperature, porosity, permeability, among others) to improve our knowledge about geo-resources on which modern society depends (e.g., energy, groundwater, and raw materials, among others). However, this ability to detect electrical resistivity contrasts also makes EM imaging techniques sensitive to metallic structures whose EM footprint often exceeds their diminutive stature compared to surrounding materials. Depending on target applications, this behavior can be advantageous or disadvantageous. In this work, we review EM modeling and inverse solutions in the presence of metallic structures, emphasizing how these structures affect EM data acquisition and interpretation. By addressing the challenges posed by metallic structures, our aim is to enhance the accuracy and reliability of subsurface EM characterization, ultimately leading to improved management of geo-resources and environmental monitoring. Here, we consider the latter through the lens of a triple helix approach: physics behind metallic structures in EM modeling and imaging, development of computational tools (conventional strategies and artificial intelligence schemes), and configurations and applications. The literature review shows that, despite recent scientific advancements, EM imaging techniques are still being developed, as are software-based data processing and interpretation tools. Such progress must address geological complexities and metallic casing measurements integrity in increasing detail setups. We hope this review will provide inspiration for researchers to study the fascinating EM problem, as well as establishing a robust technological ecosystem to those interested in studying EM fields affected by metallic artifacts. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=180626313 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10712-024-09855-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 1627 Subjects: – SubjectFull: Electrical resistivity Type: general – SubjectFull: Geophysics Type: general – SubjectFull: Inverse problems Type: general – SubjectFull: Soil mapping Type: general Titles: – TitleFull: Electromagnetic Subsurface Imaging in the Presence of Metallic Structures: A Review of Numerical Strategies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Castillo-Reyes, Octavio – PersonEntity: Name: NameFull: Queralt, Pilar – PersonEntity: Name: NameFull: Piñas-Varas, Perla – PersonEntity: Name: NameFull: Ledo, Juanjo – PersonEntity: Name: NameFull: Rojas, Otilio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01693298 Numbering: – Type: volume Value: 45 – Type: issue Value: 5 Titles: – TitleFull: Surveys in Geophysics Type: main |
| ResultId | 1 |
