A scaled experiment 2 for verification of SPLINE Interpolation Technique for sea bed logging method

Daud, Hanita; Yahya, Noorhana; Sagayan, Vijanth; Talib, Muizzuddin

doi:10.1109/iccsce.2011.6190500

“…Basic ideas to describe how CNTs can detect electromagnetic wave can be found as follows. The CNT-based electromagnetic wave detector operated in a completely different way compared to the traditional electromagnetic wave detector [8]. The detector receives signals via high-frequency mechanical vibrations of the CNTs rather than electrically.…”

Section: Resultsmentioning

confidence: 99%

“…Values of detector's frequency should clearly clarified. It can lead to the determination of resonance in the detector to give the accurate measurements of the incoming electromagnetic wave [3], [8]. In this work, we choosed which detectors gave the most suitable reading of the frequency obtained at the oscilloscope.…”

Section: Resultsmentioning

confidence: 99%

Utilization Of Carbon Nanotubes In Electromagnetic Wave Detectors

Zakariah¹,

Puspitasari²

2017

JMEST

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Direct detection of hydrocarbon by an active source using electromagnetic (EM) energy termed seabed logging (SBL) has shown very promising results. However, currently available electromagnetic wave technology has a number of challenges include sensitivity and frequency matching. This paper presents development of the carbon nanotubes (CNTs) as electromagnetic wave detector due to outstanding properties of carbon nanotubes. They are currently one of the desired materials for advanced technologies. Two types of detectors were developed in this work, carbon nanotube-based (D1) and without nanotubebased (D2) detectors. Various configuration and arrangement for each type of detector were investigated to determine the one with the highest detection measurement and stability of frequency stability of detection system. It was found that 20 turn-coils coil placed at its centre gives the maximum detection of induction voltage, 39.61 mV. However, the 20 turn-coils with CNTs which gives 36.50 mV is the preferred EM detectors due to the stability in frequency of the detection system.

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“…The CNT-based electromagnetic wave detector operated in a completely different way compared to the traditional electromagnetic wave detector [8]. The detector receives signals via high-frequency mechanical vibrations of the CNTs rather than electrically.…”

Section: Resultsmentioning

confidence: 99%

“…It can lead to the determination of resonance in the detector to give the accurate measurements of the incoming electromagnetic wave [3], [8]. In this work, we choosed which detectors gave the most suitable reading of the frequency obtained at the oscilloscope.…”

Section: Resultsmentioning

confidence: 99%

Utilization Of Carbon Nanotubes In Electromagnetic Wave Detectors

Zakariah

¹

,

Puspitasari

²

2017

JMEST

1

0

View full text Add to dashboard Cite

Direct detection of hydrocarbon by an active source using electromagnetic (EM) energy termed seabed logging (SBL) has shown very promising results. However, currently available electromagnetic wave technology has a number of challenges include sensitivity and frequency matching. This paper presents development of the carbon nanotubes (CNTs) as electromagnetic wave detector due to outstanding properties of carbon nanotubes. They are currently one of the desired materials for advanced technologies. Two types of detectors were developed in this work, carbon nanotube-based (D1) and without nanotubebased (D2) detectors. Various configuration and arrangement for each type of detector were investigated to determine the one with the highest detection measurement and stability of frequency stability of detection system. It was found that 20 turn-coils coil placed at its centre gives the maximum detection of induction voltage, 39.61 mV. However, the 20 turn-coils with CNTs which gives 36.50 mV is the preferred EM detectors due to the stability in frequency of the detection system.

show abstract

“…In the simulated environment, depth of HC is varied at frequency of 0.25 Hz and acquired data are processed by using cubic spline interpolation and NMSE are calculated between the original and interpolated data. From our preliminary work on scaled tank [6,7], it was found that the calculated NMSE were higher with HC than without HC presence. However, these NMSE values cannot identify the exact location of HC due to tank size limitations.…”

Section: Introductionmentioning

confidence: 99%

Sea Bed Logging Applications: Predicting Hydrocarbon Depth Using Mathematical Equations

Daud

¹

,

Razali

²

,

Asirvadam

³

2015

AMM

Self Cite

1

0

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The aim of this research is to develop 1-D mathematical equation that relates Normalized mean Square Error (NMSE) to depth of hydrocarbon (HC) for data processed using cubic spline interpolation in sea bed logging (SBL) application. Simulations were conducted using CST software that replicated real SBL environment to generate synthetic data. Frequency of 0.25Hz was used and sediment thicknesses were varied from 1000m to 3000m and incremented at every 250m. Data collected were interpolated using cubic spline and NMSE were calculated between original and interpolated data. Mathematical equation that relates NMSE (y) and depth of hydrocarbon (x) was constructed in terms of linear, exponential, logarithm and polynomial degree 2, 3, 4 and R2 were calculated for each equation. Mathematical equation using exponential function was adopted because it has reasonably high R2 and can be inversed easily. Average percentage error was calculated between calculated and measured data to achieve 5 % or lower values. If achievable, this model was accepted as forward mathematical model for SBL. Otherwise, the coefficients were adjusted and the processes repeated until minimum average error was achieved.

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A scaled experiment 2 for verification of SPLINE Interpolation Technique for sea bed logging method

Cited by 7 publications

References 13 publications

Utilization Of Carbon Nanotubes In Electromagnetic Wave Detectors

Utilization Of Carbon Nanotubes In Electromagnetic Wave Detectors

Utilization Of Carbon Nanotubes In Electromagnetic Wave Detectors

Sea Bed Logging Applications: Predicting Hydrocarbon Depth Using Mathematical Equations

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