Porosity Simulation by Using Block Error Method

Abstract:

Porosity plays an important role in the characterization of transport properties. However, it is quite difficult to predict the unknown porosity values only by some sparse conditional data in the process of simulation based on current popular interpolation methods. Therefore, some interpolation or extrapolation methods are used to estimate or predict the unknown porosity for better simulated results. Any numerical modeling should incorporate all relevant information from different scale data including coarse scale support data (block data) and fine scale support data (point data) to improve interpolation accuracy. Block error simulation (BESIM) is an alternative algorithm to generate stochastic realizations conditioned to both point and block data. Under the rather severe restriction, block data are linear averages of their constituent point values. This method allows reproducing both block and point data at their locations. The experimental results demonstrate that BESIM is practical in porosity simulation.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 2620-2624
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.2620
• Online since: February 2013
• Authors: Wen Li Bian, Zhang Ting
• Keywords: Block Data, Block Error Simulation, Interpolation, Point Data

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