Simulation of Wave Propagation Using Finite Differences in Oil Exploration

Author:

Suárez-Carreño Franyelit1ORCID,Rosales-Romero Luis2,Salazar José2,Acosta-Vargas Patricia1ORCID,Mendoza-Cedeño Henry-Fabricio3,Verde-Luján Hernán Edwin4,Flor-Unda Omar1

Affiliation:

1. Universidad de las Américas, Facultad de Ingeniería y Ciencias Aplicadas, Carrera de Ingeniería Industrial, Quito 170503, Ecuador

2. Universidad Nacional Experimental Politécnica Antonio José de Sucre (UNEXPO), Doctorado en Ciencias de la Ingeniería, Vice Rectorado Puerto Ordaz, Puerto Ordaz, Ciudad Guayana 8050, Venezuela

3. Universidad Laica Eloy Alfaro de Manabí—Extensión Chone, Facultad de Ciencias Administrativas, Contables y Comercio, Carrera Administración de Empresas, Chone 130714, Ecuador

4. Universidad Nacional de Barranca, Departamento de Ciencias Básicas, Facultad de Ingeniería, Barranca 15169, Peru

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 seismograms corresponding to its group of sources. In the end, an image of the resulting seismogram is shown along the analyzed geologic profile. Stability and convergence tests were performed to ensure the reliability of the results. These tests were performed using a geological profile 100,000 m long and 17,400 m deep, divided into strata. For the execution of the software, a cluster of 16 processors was used as a computational platform.

Funder

Universidad de las Américas

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Network Simulation of Time-variant Waves on Arbitrary Grids with Applications in Active Sonar Prediction;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

2. Review: Fractal Geometry in Precipitation;Atmosphere;2024-01-22

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