Abstract
Stochastic interpolation methods for generating input for reservoir simulations require accurate models for spatial variability. New models based on fractional Levy motion, a generalization of fractional Brownian motion, have strong empirical support. Stochastic interpolations based on the Levy model have a higher degree of spatial variability compared to Gaussian fractals. In two-dimensional waterflood simulations, the breakthrough curves for the Levy interpolation method are better clustered around predicted production behavior based directly on outcrop data.
Original language | English |
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Pages | 745-754 |
Number of pages | 10 |
State | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 1995 SPE Annual Technical Conference and Exhibition - Dallas, TX, USA Duration: Oct 22 1995 → Oct 25 1995 |
Conference
Conference | Proceedings of the 1995 SPE Annual Technical Conference and Exhibition |
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City | Dallas, TX, USA |
Period | 10/22/95 → 10/25/95 |