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Geophysical Modeling


Seismic Data Interpretation, Petroleum Systems, 2D/3D Basin Modeling.

Our team works in the development of projects for applied research for public and private companies and government institutions. Projects include the development, adaptation and/or deployment of innovative technologies integrated with tools traditionally used in the oil industry.

Technical Coordination

Bruno de Souza Silva, D.Sc.
+55 (21) 3938-0214
brunosi@lamce.coppe.ufrj.br


Highlights


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Main activities:

Seismic data processing;


Seismic Modeling and Imaging


Seismic Inversion (Simultaneous Inversion, Tomography and FWI)


Well Petrophysics


Tomography on Rock Samples


Interpretation of Seismic Data


Petroleum Systems


Basin mapping


2D/3D Basin Modeling


Geochemical Analysis


HPC and Artificial Intelligence


Lines of research


2D and 3D Seismic Modeling Acoustic, Elastic, Poro-elastic and Visco-elastic Isotropic and Anisotropic Acoustics and Elasticity in the Frequency domain 2D and 3D Seismic Imaging Frequency Domain
Target Guidance (Time Delay, Aerial Shot, Synthesis Operator)
Reverse Time Migration (RTM) Split-Step Migration Phase Shift and PSPI Migration
Integral methods AVA/AVO - New Strategies New Imaging conditions for in Depth Migration Full Waveform Inversion (FWI) Hybrid inversion for density
Study of seismic illumination for seismic imaging (Full waveform equation)
Digital Rock Petrophysics Seismic data interpretation Basin modeling Artificial Intelligence High Performance Computing

Tuition


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Academic training


The group has been working on the academic training of students involved in the research projects.

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Scientific Production


Publications

About us


The Multidisciplinary Modeling Core of the Laboratory of Computational Methods in Engineering (LAMCE) was created in 2001 to support research and development projects in geosciences. Currently, the Multidisciplinary Modeling Core aims to improve and develop techniques and methodologies for seismic imaging, basin modeling and environmental monitoring.

The researches carried out are characterized by the multidisciplinarity that involves mathematics, physics, computing and engineering. The student body consists of Engineers, Physicists, Mathematicians, Geologists, Petrophysicists and Geophysicists.

The seismic imaging segment has been widely used due to its ability to map subsurface geological structures thereby reducing hydrocarbon exploratory risk. 2D and 3D seismic modeling has been used as a tool to validate new techniques for the exploration of complex geological structures, such as layers with high degree of diving, with high impedance contrasts and large lateral velocity variations, which require techniques that enable the increase of spatial resolution. In this context, one of the main focuses of the Multidisciplinary Modeling Core is the search for improving the quality of seismic imaging below these structures, using advanced high performance computing (HPC) techniques and search for innovations in computational geophysics applied to seismic imaging.

The Multidisciplinary Modeling Core uses advanced high-performance computing (HPC) and Artificial intelligence techniques aimed at improving seismic imaging in complex geological structures and develops innovations in the following areas:

Computational geophysics;
Seismic modeling;
New Ava/AVO strategies;
New imaging conditions for depth migration;
Migration and inversion of multiples of various orders;
Full waveform inversion (FWI);
Hybrid inversion for density;
Ocean floor seismic data processing;
Tomography on rock samples;
Tomographic rock image processing;
Interpretation of seismic data with analysis of depositional environments and evaluation of petroleum systems;
Study of classification of lithologies and distribution of sedimentary facies;
Characterization of depositional facies and their petrophysical characteristics of an oil field;
Basin mapping;
Analysis of seismic data from Wells;
3D basin modeling, including seismic-stratigraphic studies and structures and geochemical analyses of oils and rock.

Partnership