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The New Improving Porosity Estimation Method for Tight Sands Using AVO Fluid Inversion with GeostatisticsNormal access

Authors: X. Sun, Y. Yu, L. Li and X. Zhang
Event name: 80th EAGE Conference and Exhibition 2018
Session: Naturally Fractured and Tight Reservoirs
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201801481
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 731.96Kb )
Price: € 20

Summary:
The hydrocarbon probability of reservoir can be estimated using AVO fluid inversion with geostatistics. The porosity probability distribution of low-porosity and low-permeability reservoir is uncertain, so we improved AVO fluid inversion using high probability scanning method to make full use of its advantages in statistical analysis with Bayes' theory and Cauchy distribution probability theory. All high probabilities of porosity are integrated into one map of reservoir porosity. In the application of case study, the prediction results show a better match rate up to 79%. It’s an effective method to predict porosity of low-porosity and low-permeability reservoirs such as tight sands.


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