Abstract

This research focuses on applying Independent Component Analysis (ICA) in the field of Seabed Logging (SBL). ICA is a statistical method for transforming an observed multidimensional or multivariate dataset into its constituent components (sources) that are statistically as independent from each other as possible. ICA-type de-convolution algorithm, Infomax is suitable for mixed signals de-convolution, is proposed and considered convenient depending upon the nature of the source and noise model, in the application of seabed logging. Infomax is applied in the domain of marine Controlled Source Electro Magnetic (CSEM) sensing method used for the detection of hydrocarbons based reservoirs in seabed logging application. The task is to identify the air waves and to filter them out. The infomax algorithm of ICA is considered for filtering the airwaves.

Keywords:

ICA, independent component analysis, infomax algorithm, seabed logging,

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Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.