NUMERICAL ALGORITHM FOR FINDING A SOLUTION TO A NONLINEAR FILTRATION MATHEMATICAL MODEL WITH A RANDOM SHOWALTER--SIDOROV INITIAL CONDITION
Abstract
The article is devoted to the study of a nonlinear model of fluid filtration based on the stochastic Oskolkov equation. It is assumed that the experimental initial data is affected by <<noise>>, which leads to the study of a stochastic model with the Nelson--Glicklich derivative. Sufficient conditions for the existence of solutions of the investigated model with the initial Showalter--Sidorov condition are constructed.
An algorithm for the numerical solution method is constructed and a computational experiment is presented.
Keywords
Sobolev type equations; stochastic model of nonlinear filtration; Nelson--Glicklich derivative.
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