Geostatistical data integration for reservoir management studies
The single most important factor responsible for poor estimates of oil/gas reserves and likely recovery factors is the uncertainty associated with geological architecture. The goal of reservoir characterization is to provide a numerical model of reservoir attributes, usually porosity and permeability, over the extent of the reservoir that captures the heterogeneities which are critically important for reservoir performance prediction and management. Unfortunately, the hard data, usually in the form of well log traces and cores, are generally very scarce making the spatial variability determination practically impossible. 3-D seismic data, which are available on a much denser areal coverage than wells, have been increasingly used to bridge the spatial resolution gap when integrated with well logs. Seismic data are considered soft information because they do not provide direct measurement of reservoir properties. After proper calibration of seismically derived acoustic parameters and petrophysical properties (e.g., relation between impedance and porosity at the wells), geostatistics can provide a powerful data integration mechanism for use in generating a more accurate reservoir model with better representation of interwell heterogeneity.
- OSTI ID:
- 542983
- Report Number(s):
- CONF-951013--
- Country of Publication:
- United States
- Language:
- English
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