Efficient 2D Hybrid Invrsion of Airborne Frequency Domain Data

Esben Auken; Tue Jensen Boesen; Anders Vest Christiansen; Gianluca Fiandaca; A. A. Pfaffhuber; M. Vöge

doi:10.3997/2214-4609.201702148

Abstract

We present a 2D inversion code for frequency-domain HEM data designed for inverting field scale surveys on normal desktop computers. The fundamental algorithm is a 2.5D algorithm with field separation into primary and secondary fields. Due to limited memory, as well as performance concerns, sectioning is introduced for splitting large surveys into smaller sections. Sectioning is only done when calculating the 2D forward and derivatives, and it is done with a sufficient overlap, such that vital 2D information is preserved. The algorithm uses a hybrid scheme which i) starts with 1D forward and inverse calculations, ii) then switches to 2D forward calculations and 1D derivatives, and iii) finally ends with full 2D calculations. The result of this is a code which produces results like a 2D code, but with a substantially shorter computational time.

Original language	English
Publication date	1 Oct 2017
Number of pages	5
DOIs	https://doi.org/10.3997/2214-4609.201702148
Publication status	Published - 1 Oct 2017
Event	Second European Airborne Electromagnetics Conference - Clarion Hotel & Congress Malmö, Malmø, Sweden Duration: 3 Sept 2017 → 7 Sept 2017 https://events.eage.org/en/2017/second-european-airborne-electromagnetics-conference

Conference

Conference	Second European Airborne Electromagnetics Conference
Location	Clarion Hotel & Congress Malmö
Country/Territory	Sweden
City	Malmø
Period	03/09/2017 → 07/09/2017
Internet address	https://events.eage.org/en/2017/second-european-airborne-electromagnetics-conference

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10.3997/2214-4609.201702148

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abstract = "We present a 2D inversion code for frequency-domain HEM data designed for inverting field scale surveys on normal desktop computers. The fundamental algorithm is a 2.5D algorithm with field separation into primary and secondary fields. Due to limited memory, as well as performance concerns, sectioning is introduced for splitting large surveys into smaller sections. Sectioning is only done when calculating the 2D forward and derivatives, and it is done with a sufficient overlap, such that vital 2D information is preserved. The algorithm uses a hybrid scheme which i) starts with 1D forward and inverse calculations, ii) then switches to 2D forward calculations and 1D derivatives, and iii) finally ends with full 2D calculations. The result of this is a code which produces results like a 2D code, but with a substantially shorter computational time.",

author = "Esben Auken and Boesen, {Tue Jensen} and Christiansen, {Anders Vest} and Gianluca Fiandaca and Pfaffhuber, {A. A.} and M. V{\"o}ge",

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doi = "10.3997/2214-4609.201702148",

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T1 - Efficient 2D Hybrid Invrsion of Airborne Frequency Domain Data

AU - Auken, Esben

AU - Boesen, Tue Jensen

AU - Christiansen, Anders Vest

AU - Fiandaca, Gianluca

AU - Pfaffhuber, A. A.

AU - Vöge, M.

PY - 2017/10/1

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N2 - We present a 2D inversion code for frequency-domain HEM data designed for inverting field scale surveys on normal desktop computers. The fundamental algorithm is a 2.5D algorithm with field separation into primary and secondary fields. Due to limited memory, as well as performance concerns, sectioning is introduced for splitting large surveys into smaller sections. Sectioning is only done when calculating the 2D forward and derivatives, and it is done with a sufficient overlap, such that vital 2D information is preserved. The algorithm uses a hybrid scheme which i) starts with 1D forward and inverse calculations, ii) then switches to 2D forward calculations and 1D derivatives, and iii) finally ends with full 2D calculations. The result of this is a code which produces results like a 2D code, but with a substantially shorter computational time.

AB - We present a 2D inversion code for frequency-domain HEM data designed for inverting field scale surveys on normal desktop computers. The fundamental algorithm is a 2.5D algorithm with field separation into primary and secondary fields. Due to limited memory, as well as performance concerns, sectioning is introduced for splitting large surveys into smaller sections. Sectioning is only done when calculating the 2D forward and derivatives, and it is done with a sufficient overlap, such that vital 2D information is preserved. The algorithm uses a hybrid scheme which i) starts with 1D forward and inverse calculations, ii) then switches to 2D forward calculations and 1D derivatives, and iii) finally ends with full 2D calculations. The result of this is a code which produces results like a 2D code, but with a substantially shorter computational time.

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Efficient 2D Hybrid Invrsion of Airborne Frequency Domain Data

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