Lithologic Reservoirs ›› 2024, Vol. 36 ›› Issue (5): 111-121.doi: 10.12108/yxyqc.20240511

• PETROLEUM EXPLORATION • Previous Articles     Next Articles

Lithofacies classification of tight sandstone based on Bayesian Facies-AVO attributes:A case study of the first member of Jurassic Shaximiao Formation in central Sichuan Basin

CHEN Kang1, DAI Juncheng1, WEI Wei1, LIU Weifang2, YAN Yuanyuan1, XI Cheng1, LYU Yan1, YANG Guangguang1   

  1. 1. Research Institute of Exploration and Development, PetroChina Southwest Oil & Gas Field Company, Chengdu 610041, China;
    2. GeoSoftware Technology Services(Beijing)Co., Ltd., Beijing 100004, China
  • Received:2024-02-01 Revised:2024-04-10 Online:2024-09-01 Published:2024-09-04

Abstract: In seismic exploration,high-velocity or low-velocity tight sandstone reservoirs are often characterized by complex seismic response and strong heterogeneity,and it is difficult to establish a low-frequency model in inversion. With the constraints of AVO intercept and gradient attribute based on Bayesian classification and porosity, the lithofacies of the tight sandstone of Jurassic Shaximiao Formation in central Sichuan Basin was classified. The results show that:(1)Based on elastic wave theory,AVO analysis reflects the underground lithologies and pore fluid properties according to the variation of amplitude with offset. In the application process,AVO forward modeling was carried out based on the relevant parameter combination of different lithologies and fluids,AVO characteristics of known lithologies and fluid properties were obtained and compared with actual seismic records,and then a seismic response model for lithologies and oil and gas identification was established.(2)The crossplot analysis of porosity,intercept and gradient attributes established by model and actual data was used to clarify the internal relationship between the three,determine the classification criteria of lithofacies,fit the probability density function of different lithofacies,and divide the lithofacies of different porosity intervals,to realize the semi-quantitative prediction of porosity.(3)In the application of tight sandstone of the first member of Jurassic Shaximiao Formation in central Sichuan Basin,the lithofacies predicted by probability distribution based on Bayesian classification is up to 93.75% consistent with the actual drilling results,which verifies the feasibility and effectiveness of the method.

Key words: tight sandstone, lithofacies prediction, porosity, AVO attributes, Bayesian classification, Shaximiao Formation, Jurassic, Sichuan Basin

CLC Number: 

  • TE122.1
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