TY  - CONF
SN  - 17551307
TI  - Improving Vintage Seismic Data Quality through Implementation of Advance Processing Techniques
ID  - scholars8222
A1  - Abdul Latiff, A.H.
A1  - Boon Hong, P.G.
A1  - Jamaludin, S.N.F.
Y1  - 2017///
KW  - Earth sciences; Geology; Multiple zones; Petroleum prospecting; Produced Water; Seismic prospecting; Seismic response; Seismic waves; Seismology
KW  -  Deghosting; Petroleum exploration; Processing technique; Relative amplitude; Seismic data quality; Shallow waters; Structural uncertainty; Velocity analysis
KW  -  Quality control
N1  - cited By 1; Conference of 5th International Conferences on Geological, Geographical, Aerospaces and Earth Sciences 2017, AeroEarth 2017 ; Conference Date: 20 May 2017 Through 21 May 2017; Conference Code:131444
PB  - Institute of Physics Publishing
N2  - It is essential in petroleum exploration to have high resolution subsurface images, both vertically and horizontally, in uncovering new geological and geophysical aspects of our subsurface. The lack of success may have been from the poor imaging quality which led to inaccurate analysis and interpretation. In this work, we re-processed the existing seismic dataset with an emphasis on two objectives. Firstly, to produce a better 3D seismic data quality with full retention of relative amplitudes and significantly reduce seismic and structural uncertainty. Secondly, to facilitate further prospect delineation through enhanced data resolution, fault definitions and events continuity, particularly in syn-rift section and basement cover contacts and in turn, better understand the geology of the subsurface especially in regard to the distribution of the fluvial and channel sands. By adding recent, state-of-the-art broadband processing techniques such as source and receiver de-ghosting, high density velocity analysis and shallow water de-multiple, the final results produced a better overall reflection detail and frequency in specific target zones, particularly in the deeper section. © Published under licence by IOP Publishing Ltd.
VL  - 88
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033218926&doi=10.1088%2f1755-1315%2f88%2f1%2f012006&partnerID=40&md5=b9a5e128b49828ce5d41ff1a94c3c30b
AV  - none
ER  -