Ronan Amorim

Sketch modeling of seismic horizons from uncertainty

Petroleum reservoir model building is a fundamental but complex task present in all stages of oil/gas exploration and production (E&P). Reservoir models are built incrementally using multi-disciplinary data (e.g. from geophysics, geology, reservoir engineering) and the domain expert interpretation of that data. The first reservoir models are constructed at the appraisal stage, where the available data presents inaccuracies and a high degree of uncertainty. In this paper we present a set of sketch-based interface and modeling operators integrated in a system for the early appraisal stage in oil/gas E&P for the tasks of seismic interpretation and reservoir model building. Our system allows the user to sketch directly over the raw seismic reflection volume and its derived data. These data guide the expert in the key tasks of seismic interpretation and building the structural framework of the reservoir. We propose a novel set of sketch-based modeling operators designed by specific domain requirements from geophysics and geology. A novel architecture using adaptive meshes is also developed to create a more flexible sketch-based system.

An Electro-Mechanical Cardiac Simulator Based on Cellular Automata and Mass-Spring Models

The mechanical behavior of the heart is guided by the propagation of an electrical wave, called action potential. Many diseases have multiple effects on both electrical and mechanical cardiac physiology. To support a better understanding of the multiscale and multiphysics processes involved in physiological and pathological cardiac conditions, a lot of work has been done in developing computational tools to simulate the electro-mechanical behavior of the heart. In this work, we propose a new user-friendly and efficient tool for the electro-mechanical simulation of the cardiac tissue that is based on cellular automata and mass-spring models. The proposed tool offers a user-friendly interface that allows one to interact with the simulation on-the-fly. In addition, the simulator is parallelized with CUDA and OpenMP to further speedup the execution time of the simulations.

3D Heart Modeling with Cellular Automata, Mass-Spring System and CUDA

The mechanical behavior of the heart is guided by the propagation of an electrical wave, called action potential. Many diseases have multiple effects on both electrical and mechanical cardiac physiology. To support a better understanding of the multi-scale and multi-physics processes involved in physiological and pathological cardiac conditions, a lot of work has been done in developing computational tools to simulate the electro-mechanical behavior of the heart. In this work, we implemented an aplication to mimic the heart tissue behavior, based on cellular automaton, mass-spring system and parallel computing with CUDA. Our application performed 3D simulations in a very short time. In order to assess the simulation results, we compared them with another synthetic model based on well-known partial differential equationsPDE. Preliminary results suggest our application was able to reproduce the PDE results with much less computational effort.

Sketch-based modeling and adaptive meshes

Abstract We present a theoretical approach to the problem of sketch-based surface modeling (SBSM) and introduce a framework for SBSM systems based on adaptive meshes. The main advantage of this approach is a clear separation between the modeling operators and the final representation, thus enabling the creation of SBSM systems suited to specific domains with different demands. To support the proposed approach we present two different sketch-based modeling systems built using this framework. The first one has the capability to control local and global changes to the model; the second one follows geological data constraints. To build the first system that provides the user with control of local modifications we developed a mathematical theory of vertex label and atlas structure for adaptive meshes based on stellar operators.

A Sketch-Based Modeling Framework Based on Adaptive Meshes

In the last 15 years many systems for sketch-based modeling have been developed. Much of this work has focused on the final results and describes the solutions from a technical and practical point of view. In this paper we take a more theoretical approach to the problem of sketch-based surface modeling (SBSM) and introduce a framework for SBSM systems based on adaptive meshes. The main advantage of this approach is to split the modeling operators and the final representation, allowing the creation of SBSM systems suitable for specific domains with different demands. In addition, we present two systems built on top of this framework, one with the capability to control local and global changes to the model and one that follows domain constraints.

Sketch-Based Adaptive Mesh Augmentation Using Stellar Operators

In this paper we present a new method for modeling and editing surface detail using free-form curves and a natural interface. It combines in a original way an adaptive multiresolution mesh structure with a simple, intuitive sketch-based interface. One of the novel contributions of this work is the curve sensitive mesh resolution control, which allows the definition of a rich set of operators that locally modify the surface geometry. Furthermore, the present framework provides the basic functionality to build a complete feature based modeling system.