2023
DOI: 10.3390/app13158852
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Simulation of Wave Propagation Using Finite Differences in Oil Exploration

Franyelit Suárez-Carreño,
Luis Rosales-Romero,
José Salazar
et al.

Abstract: This paper presents a numerical solution for the 2D acoustic wave equation, considering heterogeneous media. It has been developed through a software in Fortran 90 that uses a second-order finite difference approximation. This program generates a set of patterns to detect the presence of oil in the subsurface. The algorithm is based on a geological domain where the sources (shots) and receivers are located. Each process takes care of a subset of sources and returns to the primary method patterns and seismogram… Show more

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Cited by 3 publications
(1 citation statement)
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“…where f C is the Coriolis parameter and f x := f x , f y ≡ 1 ρ ∂P ∂x , ∂P ∂y is the acceleration caused by the gradient of the pressure P at the position (x, y) ∈ R 2 for a fluid with density ρ. Under a computational perspective, differential equations can be expressed in terms of finite differences according to a discretization of the time t ≈ nδ for some small-time lapse δ > 0 and n ∈ N [58]. For example, as the u-component of wind is now u(t) ≡ u(nδ) ≡ u n , then…”
Section: Geometry In Dynamical Systemsmentioning
confidence: 99%
“…where f C is the Coriolis parameter and f x := f x , f y ≡ 1 ρ ∂P ∂x , ∂P ∂y is the acceleration caused by the gradient of the pressure P at the position (x, y) ∈ R 2 for a fluid with density ρ. Under a computational perspective, differential equations can be expressed in terms of finite differences according to a discretization of the time t ≈ nδ for some small-time lapse δ > 0 and n ∈ N [58]. For example, as the u-component of wind is now u(t) ≡ u(nδ) ≡ u n , then…”
Section: Geometry In Dynamical Systemsmentioning
confidence: 99%