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Morphology Filter for Enhancing the Signal-to-Noise Ratio of the Nuclear Magnetic Resonance Echo Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
Abstract
Summary
During the process of the nuclear magnetic resonance (NMR) echo data measurement, the echo data is often accompanied by lots kinds and amounts of noise. In order to get the inverse result and the petrophysical parameter like porosity and permeability more accurately, it is important to enhance the signal to-noise ratio of the echo data. In this paper, the mathematical morphology method is applied to build the morphology filter for the NMR echo data filtering. And numerical simulation is used to compare the inverse result of echo data before and after the filtering. The root mean square error of the T2 distribution and the relative error of the porosity ξ are the two parameters used for result evaluation. Eventually, the method is proved to be effective and stable based on the numerical simulation.
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