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Paper presented at the SPE/DOE Improved Oil Recovery Symposium, April 13–17, 2002
Paper Number: SPE-75229-MS
.... The key assumption consists in modeling small scale heterogeneity as vertical perturbations to the current petrophysical maps. Two types of data sources are used to generate these perturbations: permeability logs and mini-permeameter data. Vertically refined full field flow models are built to incorporate...
Paper presented at the SPE/DOE Improved Oil Recovery Symposium, April 21–24, 1996
Paper Number: SPE-35415-MS
... stochastic hill climbing was also used for the inversion process. P. 157 objective function perturbation permeability information inversion impedance porosity artificial intelligence probability density function machine learning dynamic data wavelet correlation spe 35415 procedure...
Paper presented at the SPE/DOE Improved Oil Recovery Symposium, April 17–20, 1994
Paper Number: SPE-27803-MS
... of petroleum engineers constraint cpu time optimization problem perturbation algorithm machine learning point perturbation simulation result probability objective function genetic algorithm upstream oil & gas combinatorial algorithm SPE/DOE 27803 Application of Combinatorial Algorithms...
Paper presented at the SPE Enhanced Oil Recovery Symposium, April 15–18, 1984
Paper Number: SPE-12631-MS
... Abstract This paper presents a linear perturbation analysis of viscosity- and gravity-induced instability in miscible displacement processes. The analysis takes into account the time-dependent behavior of the basic flow solution. It also considers the velocity dependence in the hydrodynamic...
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