Abstract
Drilling engineer's understanding of the subsurface conditions of oil-rich regions in Iran is based on experience and through quantitative assessment of these valuable data. The usage of geostatistical methods converts the qualitative experience to quantitative and provides the way for better result. In Iranian oil fields, during the drilling operation Asmari formation is of great importance because most of oil reservoirs are located in this formation. In this study, 53 wells in the field were randomly selected, and after studying and reviewing the drilling and geological reports, 40 wells were selected for inclusion in the model. After analysis of the information, a model which predicts the top of Producing Formation accurately was presented.
Highlights
In the presence of limited information, any reservoir description involves the use of statistics
Geostatistics can be used to interpolate and extrapolate the values of reservoir variables at unsampled location and can provide the quantitative relationship describing the spatial variability of a reservoir property
Kriging is an estimation method based on a weighted moving average, and it can be regarded as the Best Linear Unbiased Estimator (BLUE)
Summary
In the presence of limited information, any reservoir description involves the use of statistics. Geostatistics can be used to interpolate and extrapolate the values of reservoir variables at unsampled location and can provide the quantitative relationship describing the spatial variability of a reservoir property. This includes the distance over which a given variable is related to as well as how that variable is spatially related to other variables. Geostatistics can provide different ways of defining uncertainties in estimated values at unsampled locations. These uncertainty estimates can be useful in risk analysis.
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