Seismic data gather conditioning for prestack seismic data inversion

2018 ◽  
Author(s):  
Gang Yu ◽  
Yusheng Zhang ◽  
Ximing Wang ◽  
Xing Liang ◽  
Benjing Liu
Keyword(s):  
Seismic Data ◽  
Data Inversion

scholarly journals Joint Sensing of Bedload Flux and Water Depth by Seismic Data Inversion

2019 ◽  
Vol 55 (11) ◽  
pp. 9892-9904 ◽  
Author(s):  
M. Dietze ◽  
S. Lagarde ◽  
E. Halfi ◽  
J. B. Laronne ◽  
J. M. Turowski
Keyword(s):  
Water Depth ◽  
Seismic Data ◽  
Data Inversion

Hybrid methods of seismic data inversion

1993 ◽  
Author(s):  
Simon Katz ◽  
Alex Beylin
Keyword(s):  
Seismic Data ◽  
Hybrid Methods ◽  
Data Inversion

Magnetotelluric data inversion with seismic data constraint

2005 ◽  
Vol 18 (6) ◽  
pp. 678-685 ◽  
Author(s):  
Wei-qi Song ◽  
Shan Sun
Keyword(s):  
Seismic Data ◽  
Magnetotelluric Data ◽  
Data Inversion

scholarly journals Neural Networks for Seismic Data Inversion

2021 ◽  
Author(s):  
Cassio M. Oishi ◽  
Fabio Vinícius Goes Amaral ◽  
Hugo Leonardo França ◽  
William Hideki Nakata ◽  
Diego Alecsander de Aguiar ◽  
...  
Keyword(s):  
Neural Networks ◽  
Seismic Data ◽  
Data Inversion

scholarly journals The Use of Seismic Reflection Data Inversion Technique to Evaluate the Petro- Physical Properties of Nahr Umr Formation at Kumait and Dujaila Oil Fields – Southern Iraq

2021 ◽  
pp. 565-577
Author(s):  
Nowfal A. Nassir ◽  
Ahmed S. AL- Banna ◽  
Ghazi H. Al-Sharaa
Keyword(s):  
Seismic Data ◽  
Acoustic Impedance ◽  
Water Saturation ◽  
Water Reservoir ◽  
Effective Porosity ◽  
Oil Fields ◽  
Seismic Reflection Data ◽  
Data Inversion ◽  
Reflection Data ◽  
Southern Iraq

The estimation of rock petrophysical parameters is an essential matter to characterize any reservoir. This research deals with the evaluation of  effective porosity (Pe), shale volume (Vsh) and water saturation (Sw) of reservoirs at Kumait and Dujalia fields, which were analyzed from well log and seismic data. The absolute acoustic impedance (AI) and relative acoustic impedance (RAI) were derived from a model which is based on the inversion of seismic 3-D post-stack data. NahrUmr formation’s sand reservoirs are identified by the RAI section of the study area. Nahr Umr sand-2 unit in Kumait field is the main reservoir; its delineation depends on the available well logs and AI sections information. The results of well logging interpretation showed a decrease of Sw and Vsh and an increase of effective porosity in the oil reservoir area, which coincides with the decrease of AI values. The existence of the water reservoir in Du-2 well revealed a convergence of the results of AI and effective porosity with those of Kumait wells , along with and some differential results of Sw and Vsh values that may be related to changes in lithology and fluid density.

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