TY  - JOUR
Y1  - 2013///
VL  - 414
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022224284&doi=10.1007%2f978-3-319-10987-9_6&partnerID=40&md5=05113bb07b975592ff03e94f01b75df3
JF  - Communications in Computer and Information Science
A1  - Ansari, A.
A1  - Bt Shafie, A.
A1  - Ansari, S.
A1  - Md Said, A.B.
A1  - Nyamasvisva, E.T.
KW  - Data mining; Electromagnetic logging; Filtration; Hydrocarbons; Independent component analysis; Metadata; Seawater; Security of data
KW  -  Air waves; Controlled source electromagnetic (CSEM); Deep sea; Independent component analysis(ICA); Logging applications; PCA; Seawater depth; Statistical approach; ICA-PCA
KW  -  Principal component analysis
ID  - scholars3784
N2  - In this research, Independent component analysis using Principal Component Analysis (ICA-PCA) technique has been applied in the field of seabed logging application for the filtration of airwaves. Independent component analysis (ICA) is a statistical approach for transforming data of multivariate nature into its constituent components (sources) which are considered to be statistically independent of each other. ICA-PCA is applied in the domain of marine controlled source electromagnetic (CSEM), called seabed logging (SBL) sensing method used for the detection of hydrocarbons based reservoirs in SBL application. ICA-PCA has not been applied before in SBL application, and therefore may reduce exploration costs in deep sea areas. The task is to identify the air waves and to filter them out, hence, the ICA-PCA algorithm is carried out for airwave filtration, at varying seawater depth from 100 m to 3000 m. It is observed that the results are favorable upto 2500 m depth. Upon increasing seawater depth, the component representing the presence of hydrocarbon becomes more dispersed, vague and indistinguishable. © Springer International Publishing Switzerland 2014.
SN  - 18650929
PB  - Springer Verlag
EP  - 64
AV  - none
TI  - Filtration of airwave in seabed logging using principal component analysis
SP  - 56
N1  - cited By 0
ER  -