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Abstract

Summary

The work presents the results of well data analysis and petroelastic modeling in saline clastic and carbonate sections of Eastern Siberia fields. The core data analysis indicates a significant effect of salinization on the porosity and permeability properies of rock, which affects the presence of reservoir in wells. Such deposits require an integrated study to the interpretation and analysis of well data. The degree of detail and reliability of the petroelastic model in salin conditions of clastic and carbonate rocks is determined by the input data: set of logs and its quality, core data analysis, etc. Modeling of elastic properties was performed with usage the model of effective media. There are models which allow to take into account different salt distribution in the pore space, depending on the rock wettability. The main feature of such models is that the shear modulus of pore fluid isn’t equal to zero. Taking into account that the target interval is represented by laminated rocks, the best choice for seismic reservoir characterization will be pre-stack geostatistical inversion algorithm. Effective thickness of reservoirs, porosity and volume of salt in pore space affect the reliability of seismic inversion reservoir characterization.

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/content/papers/10.3997/2214-4609.201800180
2018-04-09
2024-04-18

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800180
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Petroelastic modeling is the basement of reliable seismic inversion reservoir characterization in saline section of Eastern Siberia
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800180
/content/papers/10.3997/2214-4609.201800180
/content/papers/10.3997/2214-4609.201800180
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