TY  - CONF
KW  - Deformation; Drilling platforms; Offshore oil fields; Offshore oil well production; Offshore oil wells
KW  -  Deformation monitoring; Interferometric synthetic aperture radars; Off shore platforms; Offshore applications; Persistent scatterers; Processing parameters; Velocity estimation; Well-established techniques
KW  -  Synthetic aperture radar
TI  - A Case Study on Offshore Platform Deformation Monitoring by using InSAR
ID  - scholars9980
N1  - cited By 1; Conference of 2018 International Conference on Civil, Offshore and Environmental Engineering 2018, ICCOEE 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:140464
N2  - The Interferometric Synthetic Aperture Radar (InSAR) technique is well established technique for onshore applications such as landslide, mining, volcano, urban and dam deformation monitoring. However, the ability of the InSAR technique for the offshore application particularly on the oil platform deformation monitoring is still a pending question. Therefore, a study needs to be conducted in order to assess the feasibility of the InSAR technique for monitoring the deformation of offshore platform. In this study, an advanced InSAR technique called Stanford Method of Persistent Scatterer (StaMPS) was utilized to process a stack of TerraSAR-X data. A mask has been developed as an additional module in the StaMPS to remove the noise on the ocean and relax the assigned condition imposed on the processing parameters. The results show that the number of persistent scatterer (PS) points on the offshore platform increased from 15 to 22 points and a smoother pattern of the velocity estimation could be seen when masking was applied to identify the deformation. Furthermore, some limitations and possible solutions of the PSI technique on the offshore platform application are summarized in this paper to guide future users on this application. © The Authors, published by EDP Sciences, 2018.
AV  - none
VL  - 203
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055493921&doi=10.1051%2fmatecconf%2f201820304002&partnerID=40&md5=a5be53936378368d9669ddb19c003e60
A1  - Latip, A.S.A.
A1  - Matori, A.N.
A1  - Aobpaet, A.
SN  - 2261236X
PB  - EDP Sciences
Y1  - 2018///
ER  -