May 2, 2024
Abolhassan Razminia

Abolhassan Razminia

Academic Rank: Associate professor
Address:
Degree: Ph.D in Electrical Engineering: Control Systems Engineering
Phone: 07731222164
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Convolution integral for fractional diffusion equation
Type Article
Keywords
Fractional diffusion equation (FDE) Anomalous diffusion Convolution integral
Journal CHAOS SOLITONS & FRACTALS
DOI https://doi.org/10.1016/j.chaos.2021.111728
Researchers Abolhassan Razminia (Second researcher)

Abstract

A modified version of the classical diffusion equation, called the fractional diffusion equation (FDE), has been developed to describe anomalous fluid flow through porous media. Since the FDE does not contain the rate as the input of the well-reservoir system, in this paper, we re-develop the FDE containing both rate (input) and pressure (output). Based on the new FDE, we show that the conventional convolution integral can still be used to relate the rate and pressure in reservoirs with anomalous behavior. A practical application of the convolution integral and how to use it in practice is presented using a synthetic example.