ABSTRACT
In the absence of any direct continuous permeability measurement logging tool, predicting permeability distribution in the field is a difficult task. Standard log-core regression relationships for permeability has its limitations and sometimes provide unsatisfactory results on a field basis. Similarly, facies description on a field wide basis is a costly and time consuming process.
A novel statistical technique is described to estimate a more reliable permeability and facies utilizing an integrated database of well log and core information built by this technique.
A database is built, using information from selected depth intervals in wells having reliable permeability or facies information. This database is then used for estimating permeability or facies in other wells, or other depth intervals in the same well, where data is missing. No predetermined relationships between variables are assumed.
The technique is used in the Boqueron field, located north of Monagas area, Eastern Venezuela. The paper describes the technique and application to estimate the permeability over depth interval where core permeability information is absent. A separate database is built with the facies description and well log data. To estimate the facies in wells where no facies description is available, log data is used to query this category database. The quality control and error involved in the technique are discussed.
The examples shown in this paper will demonstrate that this novel statistical method significantly improves the estimation of the continuous permeability curve and facies description, when compared to traditional methods.
