ZHAO Di, MA Sen, CAO Yanhui. Seismic rock physics analysis and prediction model establishment of Shaximiao Formation in Zhongjiang Gas Field[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 608-613.
DOI:
ZHAO Di, MA Sen, CAO Yanhui. Seismic rock physics analysis and prediction model establishment of Shaximiao Formation in Zhongjiang Gas Field[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 608-613. DOI: 10.13809/j.cnki.cn32-1825/te.2023.05.008.
Seismic rock physics analysis and prediction model establishment of Shaximiao Formation in Zhongjiang Gas Field
Shaximiao Formation gas reservoir in Zhongjiang Gas Field has great exploration and development potential. However
it is primarily characterized by ultra-low porosity and ultra-low permeability
with pronounced reservoir heterogeneity. Addressing the challenges related to the early-stage reliability of lithology and gas-bearing identification
as well as the accuracy of reservoir porosity and thickness predictions
a comprehensive seismic rock physics analysis was undertaken. The analysis focused on assessing the feasibility of reservoir prediction through forward modeling
fluid substitution
and rock physics scaling. The objective was to elucidate the specific relationship between seismic elastic parameters
lithological parameters
and reservoir parameters for gas reservoirs. By optimizing sensitive parameters related to lithology
physical properties
and gas-bearing properties
qualitative and quantitative prediction models for reservoirs were established. This entailed using attributes such as the maximum trough attribute
minimum wave impedance attribute
and the ratio of minimum longitudinal and transverse wave velocities to predict reservoir distribution. The lithology and gas-bearing property are identified by P-wave velocity ratio and P-wave impedance intersection. The shale content is quantitatively predicted by P-wave velocity ratio fitting or co-simulation. The porosity is quantitatively predicted by P-wave impedance fitting or co-simulation in sandstone. The gas saturation is quantitatively predicted by Lamda/Mu fitting or co-simulation in gas-bearing sandstone
which lays a solid foundation for the fine prediction of Shaximiao reservoir in the study area.