Application of multicomponent joint inversion in Canada oil-sand prediction

Wang, Bo (BGP, CNPC) | Guo, Jingru (BGP, CNPC) | Nie, Qihai (BGP, CNPC) | Liu, Yong (BGP, CNPC) | Shi, Chunlong (BGP, CNPC)


Multicomponent joint inversion is an important technique for reservoir prediction using PP and PS seismic data. The addition of PS data is helpful to solve the problem of multiplicity and increase the precision of reservoir prediction. Based on 3D multicomponent seismic data of M area in Canada, the logging response characteristics of the reservoir are analyzed and the sensitive parameters are optimized. The PP and PS joint inversion, characteristic curve inversion and lithofacies probability simulation are integrated to increase the precision of reservoir prediction gradually. The application results show that, due to the reservoir prediction based on joint inversion, the top and bottom interface of oil sands reservoir and the distribution of interbed are described in detail. And important geophysical prospecting results are provided for oil sands development in this area.

Presentation Date: Monday, October 15, 2018

Start Time: 1:50:00 PM

Location: 213A (Anaheim Convention Center)

Presentation Type: Oral