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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
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The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
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Quantitative evaluation for fluid components on 2D NMR spectrum using Blind Source Separation.

Mingxuan Gu1, Ranhong Xie1, Guowen Jin1

  • 1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum (Beijing), Beijing 102249, China.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|October 12, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces Blind Source Separation (BSS) to accurately quantify fluid saturation in oil and gas exploration by separating overlapping signals on 2D NMR spectra. The novel method improves fluid component analysis and saturation calculations compared to existing techniques.

Keywords:
2D NMRFastICANMFSaturationSeparation of fluid components

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Area of Science:

  • Geophysics
  • Petroleum Engineering
  • Nuclear Magnetic Resonance (NMR) Spectroscopy

Background:

  • Quantitative evaluation of fluid components and saturation in oil and gas exploration is challenging due to signal overlap in 2D NMR spectra.
  • Existing methods struggle to accurately differentiate and quantify multiple fluid types when their spectral signals intersect.

Purpose of the Study:

  • To propose and validate a novel method using Blind Source Separation (BSS) for improved fluid component separation and saturation calculation from 2D NMR data.
  • To enhance the accuracy of fluid saturation determination in complex reservoir conditions.

Main Methods:

  • Blind Source Separation (BSS) utilizing the statistical independence of fluid signals on 2D NMR spectra.
  • Fast Independent Component Analysis (FastICA) to determine the number of fluid components from inverted NMR spectrums.
  • Nonnegative Matrix Factorization (NMF) to extract fluid component features and classify overlapping spectral regions using distance and T1/T2 relaxation times.
  • Numerical simulations (T2-D and T1-T2) to compare the proposed method with NMF for fluid saturation calculation.

Main Results:

  • The proposed BSS-based method effectively determines the number of fluid components present in the NMR spectra.
  • Calculated fluid saturations using the proposed method demonstrate higher accuracy compared to those obtained using standard NMF.
  • Signal separation and component identification are significantly improved, addressing the issue of spectral overlap.

Conclusions:

  • Blind Source Separation (BSS) offers a robust approach for resolving overlapping signals in 2D NMR spectra during oil and gas exploration.
  • The developed method provides more accurate fluid saturation calculations, crucial for reservoir characterization and production optimization.
  • This technique advances the quantitative analysis capabilities of NMR spectroscopy in complex geological formations.