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   "This year's Annual Meeting will give attendees...a high- quality Technical Program with more posters." -Annual Meeting General Chairman, Ken Helm | | W-10 Carbonate Research in China: Technologies Meeting Tough Challenges Date: Thursday, 22 September
Time: 1:30 p.m.-5 p.m
Henry B. Gonzalez Convention Center, Room 216 B
Organizers: Sam Sun, Ron Masters, Jianfa Han, and Ping Yang
Through the support of the IQ Earth Interpretation Committee Description: There exists wide distribution of Palaeozoic carbonate rock in China. But up to date hydrocarbon reservoirs were only discovered in Tarim basin and Sichun basin. Comparing with the regular, carbonate reservoir discovered in Tarim basin (northwest China) is a special type of reservoir - An Ordovician ginormous macro-scale quasi-layering carbonate reservoir. Forming massive network system along unconformities (buried hills, karsts) in 3D space, the storage spaces are mainly secondary which includes dissolution caves or holes and fractures. Original porosity is less than 1% in most formations. Distribution of hydrocarbon is controlled by systems of fractures and caves, which show quasi-layering shape. The reservoir fluids are sophisticated (various types of hydrocarbon co-exist such as heavy oil, conventional oil, and condensate gas, etc.) due to multi-stage or multi-phase reservoir formation and adjustment. All of these factors make the carbonate reservoir prediction in China be the world-class tough issue.
The key technical problem is how to predict and characterize this type of reservoir. Seismic detection, as the major means for reservoir prediction, encounters many challenges. In this workshop, there will be more than 10 talks covering the following subjects: - Major geological characteristics and geophysical challenges for fractured and caved carbonate reservoir
- Numerical modeling and physical modeling for heterogeneity and anisotropy study
- Integrated prediction using multi-attribute analysis for caved carbonate reservoir
- Key rock physics issues and solutions for these types of media considering both the influences of secondary storage spaces and velocity dispersion
- Amplitude-preserved pre-stack migration for Common-Reflection-Point (CRP) gather extraction and proper implementation for pre-stack inversion
- AVO attribute extraction and AVO inversion for caved reservoir prediction and fluid identification
- P-wave fracture prediction algorithm and practice using pre-stack data with limited azimuthal distribution
- Diffraction separation and its application on all-scale cave imagining
- Resolution improvement: Q-migration and improved nonstationary deconvolution for better reservoir delineation
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