2003Special Oil & Gas ReservoirsRequires access

Geostatistical model constrained by seismic data

Tan Xue

Open publisher page 2 citations

Abstract

Taking sandstone reservoir as an example, this paper introduces applying 3D seismic data to geostatistical reservoir model. This method can quantitatively predict sandstone distribution, evaluate the quality of sandstone distribution map, and estimate the success ratio of drilling exploration. The wave impedance converted from seismic reflection amplitude can be used as a supplement to sand prediction from geostatistical method. Through comparison, it shows that the uncertainty of reservoir prediction can be reduced by seismic data.

About this research paper

What this paper is about

Taking sandstone reservoir as an example, this paper introduces applying 3D seismic data to geostatistical reservoir model. This method can quantitatively predict sandstone distribution, evaluate the quality of sandstone distribution map, and estimate the success ratio of drilling exploration. The wave impedance converted from seismic reflection amplitude can be used as a supplement to sand prediction from geostatistical method. Through comparison, it shows that the uncertainty of reservoir prediction can be reduced by seismic data.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Taking sandstone reservoir as an example, this paper introduces applying 3D seismic data to geostatistical reservoir model. This method can quantitatively predict sandstone distribution, evaluate the quality of sandstone distribution map, and estimate the success ratio of drilling exploration. The wave impedance converted from seismic reflection amplitude can be used as a supplement to sand prediction from geostatistical method. Through comparison, it shows that the uncertainty of reservoir prediction can be reduced by seismic data.

Key concepts: Geology, Drilling, Seismic to simulation, Amplitude, Seismic attribute, Petroleum engineering, Seismic inversion, Seismology

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