Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

Hadi Alidoustaghdam; Mehmet Nuri Akinci; Mehmet Cayoren; Semih Dogu

doi:10.1109/MTTW51045.2020.9245028

Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

Hadi Alidoustaghdam, Mehmet Nuri Akinci, Mehmet Cayoren, Semih Dogu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper, we present qualitative microwave imaging as a viable option for monitoring concrete oil-wells. In an oil reservoir, the surrounding material can block the perforation of oil through pores of concrete wall into the well. In that context, we demonstrate that the Factorization Method (FM), which belongs to qualitative inverse scattering theory, can be effectively employed to reconstruct subsurface images provided that multi-static electric field measurements are performed inside the well with a circular antenna array. The numerical analysis shows that by proper utilization of Green's function for the problem, the clutters of structure can be removed and the algorithm can reconstruct an image representing abnormality in oil-well vicinity.

Original language	English
Title of host publication	Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020
Editors	Arturs Aboltins, Anna Litvinenko
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	82-85
Number of pages	4
ISBN (Electronic)	978-1-7281-9398-4
ISBN (Print)	978-1-7281-9399-1
DOIs	https://doi.org/10.1109/MTTW51045.2020.9245028
Publication status	Published - 1 Oct 2020
Externally published	Yes
Event	IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020 - Virtual, Riga, Latvia Duration: 1 Oct 2020 → 2 Oct 2020

Conference

Conference	IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020
Abbreviated title	MTTW 2020
Country/Territory	Latvia
City	Virtual, Riga
Period	1/10/20 → 2/10/20

Keywords

Factorization method
Inverse scattering theory.
Microwave imaging
Monitoring concrete oil-wells
n/a OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MTTW51045.2020.9245028

Cite this

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title = "Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging",

abstract = "In this paper, we present qualitative microwave imaging as a viable option for monitoring concrete oil-wells. In an oil reservoir, the surrounding material can block the perforation of oil through pores of concrete wall into the well. In that context, we demonstrate that the Factorization Method (FM), which belongs to qualitative inverse scattering theory, can be effectively employed to reconstruct subsurface images provided that multi-static electric field measurements are performed inside the well with a circular antenna array. The numerical analysis shows that by proper utilization of Green's function for the problem, the clutters of structure can be removed and the algorithm can reconstruct an image representing abnormality in oil-well vicinity. ",

keywords = "Factorization method, Inverse scattering theory., Microwave imaging, Monitoring concrete oil-wells, n/a OA procedure",

author = "Hadi Alidoustaghdam and Akinci, {Mehmet Nuri} and Mehmet Cayoren and Semih Dogu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020, MTTW 2020 ; Conference date: 01-10-2020 Through 02-10-2020",

year = "2020",

month = oct,

day = "1",

doi = "10.1109/MTTW51045.2020.9245028",

language = "English",

isbn = "978-1-7281-9399-1",

pages = "82--85",

editor = "Arturs Aboltins and Anna Litvinenko",

booktitle = "Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020",

publisher = "IEEE",

address = "United States",

}

Alidoustaghdam, H, Akinci, MN, Cayoren, M & Dogu, S 2020, Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging. in A Aboltins & A Litvinenko (eds), Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020., 9245028, IEEE, Piscataway, NJ, pp. 82-85, IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020, Virtual, Riga, Latvia, 1/10/20. https://doi.org/10.1109/MTTW51045.2020.9245028

Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging. / Alidoustaghdam, Hadi; Akinci, Mehmet Nuri; Cayoren, Mehmet et al.
Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020. ed. / Arturs Aboltins; Anna Litvinenko. Piscataway, NJ: IEEE, 2020. p. 82-85 9245028.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

AU - Alidoustaghdam, Hadi

AU - Akinci, Mehmet Nuri

AU - Cayoren, Mehmet

AU - Dogu, Semih

PY - 2020/10/1

Y1 - 2020/10/1

N2 - In this paper, we present qualitative microwave imaging as a viable option for monitoring concrete oil-wells. In an oil reservoir, the surrounding material can block the perforation of oil through pores of concrete wall into the well. In that context, we demonstrate that the Factorization Method (FM), which belongs to qualitative inverse scattering theory, can be effectively employed to reconstruct subsurface images provided that multi-static electric field measurements are performed inside the well with a circular antenna array. The numerical analysis shows that by proper utilization of Green's function for the problem, the clutters of structure can be removed and the algorithm can reconstruct an image representing abnormality in oil-well vicinity.

AB - In this paper, we present qualitative microwave imaging as a viable option for monitoring concrete oil-wells. In an oil reservoir, the surrounding material can block the perforation of oil through pores of concrete wall into the well. In that context, we demonstrate that the Factorization Method (FM), which belongs to qualitative inverse scattering theory, can be effectively employed to reconstruct subsurface images provided that multi-static electric field measurements are performed inside the well with a circular antenna array. The numerical analysis shows that by proper utilization of Green's function for the problem, the clutters of structure can be removed and the algorithm can reconstruct an image representing abnormality in oil-well vicinity.

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KW - Inverse scattering theory.

KW - Microwave imaging

KW - Monitoring concrete oil-wells

KW - n/a OA procedure

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BT - Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020

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Y2 - 1 October 2020 through 2 October 2020

ER -

Monitoring Concrete Oil-Wells with Qualitative Microwave Imaging

Abstract

Conference

Keywords

UN SDGs

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