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Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 7 | Page No.: 523-531
DOI: 10.3923/tasr.2012.523.531
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Effectiveness of Kriging Interpolation Technique for Estimating Permeability Distribution of a Field

O. Anomohanran and U. Chapele

This study seeks to investigate the effectiveness of using the kriging interpolation technique in estimating the permeability distribution of a field. In carrying out this study, the permeability of three sand layers each of 39 wells in a field were obtained from the record of porosity and water saturation using the Tixier and Timur empirical models. The permeability of the three layers was also determined experimentally from core samples in the laboratory. Result shows strong correlation between core and derived permeability. The derived permeability values were used as input data in the kriging interpolation. Result shows that the kriged permeability for layer one ranges from 0.81 to 3.98 D for Tixier empirical model while the Timur model yielded a permeability range of 0.97 to 3.80 D. For the second layer, the Tixier model yielded a permeability range of 0.40 to 3.69 D while that of Timur gave a range of 0.38 to 3.59 D. For the third layer, the Tixier model gave a range of 0.20 to 0.95 D while the Timur model gave a range of 0.30 to 1.10 D. This study has revealed that there is consistency in the values of the permeability distribution obtained for both the Tixier and Timur models. The study also shows that there is decrease of permeability with increase in depth. The study has shown that the kriging algorithm can be used effectively in generating a two dimensional permeability distribution that is reliable with error ranging from 0.6 to 2.4%.
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  •    A Case Study of Permeability Modeling and Reservoir Performance in the Absence of Core Data in the Niger Delta, Nigeria
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  •    Spatial Data Calibration for Site-Specific Phosphorus Management
How to cite this article:

O. Anomohanran and U. Chapele, 2012. Effectiveness of Kriging Interpolation Technique for Estimating Permeability Distribution of a Field. Trends in Applied Sciences Research, 7: 523-531.

DOI: 10.3923/tasr.2012.523.531






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