559 research outputs found
Combined imaging and velocity estimation by Joint Migration Inversion
Seismic imaging projects aim to reveal the structure of the earths crust from seismic data. These projects typically include three separate processing steps, being: \u95 attenuation of multiple reflections in the seismic data. \u95 estimating seismic wave propagation velocities from the seismic data. \u95 mapping the measured reflection data to the proper subsurface location by migration. In this thesis, we present a novel approach termed Joint Migration Inversion (JMI) that combines the estimation of seismic wave propagation velocities with the migration of seismic data. Additionally, JMI is capable of using multiple reflections to improve its velocity estimates and migration results, effectively removing the need to suppress multiple reflections in the seismic data. Joint Migration Inversion is posed as an inverse problem that solves for the subsurface parameters of reflectivity and velocity. This means that we use a forward model, termed Full Wavefield Modelling, that synthesizes seismic data based on a reflectivity model and a velocity model. We then we update the reflectivity model and velocity model until the synthesized data accurately matches the measured seismic data. Because Full Wavefield Modeling accounts for the nonlinear relationship between wavefields and reflectivity, leading to transmission effects and multiple scattering, the inversion scheme will automatically use these nonlinearities to optimise its reflectivity estimates as well as its velocity estimates. To update the reflectivity and velocity models JMI uses a gradient descent scheme, which is an iterative local optimisation algorithm. This thesis demonstrates the feasibility of Joint Migration Inversion by applying it to several numerically generated datasets, showcasing its ability to estimate kinematically accurate velocity models and to image the subsurface accurately in the presence of strong internal multiples and complex subsurface structures. We discuss the robustness of JMI, showing why we feel that the method will not suffer from cycle-skipping and that it will give accurate results given a wide variety of starting models. Finally, we present a case study where JMI is applied to a 2D section of a field dataset, showing the pre-processing steps required for a successful inversion and showing that JMI performs well on field data.Imaging PhysicsApplied Science
Transparency in actions on requirements
The combination between agile software engineering and distributed engineering is gaining a growing interest. Combining these however creates an interesting paradox. Where agile clearly states that documentation is not the most important thing, from the field of globally distributed engineering a higher focus on documentation is observed. In this thesis the field of requirements engineering is also taken into the mix. Combining these three a user-story model is defined to take advantage of the, on first sight, downside of working distributed. The fact that face-to-face communication is not possible means that all the communication has to be done using technological support and thus that this communication can be saved. This premise gives an interesting opportunity to keep track of the actions that are taken on user-stories as a result of a conversation. By saving the conversation and coupling the action to parts of that conversation.Software EngineeringComputer ScienceElectrical Engineering, Mathematics and Computer Scienc
Recent Advances In Low-cost Microfluidic Platforms For Diagnostic Applications
The use of inexpensive materials and cost-effective manufacturing processes for mass production of microfluidic devices is very attractive and has spurred a variety of approaches. Such devices are particularly suited for diagnostic applications in limited resource settings. This review describes the recent and remarkable advances in the use of low-cost substrates for the development of microfluidic devices for diagnostics and clinical assays. Thus, a plethora of new and improved fabrication methods, designs, capabilities, detections, and applications of microfluidic devices fabricated with paper, plastic, and threads are covered. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.351623092324Yager, P., Edwards, T., Fu, E., Helton, K., Nelson, K., Tam, M.R., Weigl, B.H., (2006) Nature, 442, pp. 412-418Foudeh, A.M., Didar, T.F., Veres, T., Tabrizian, M., (2012) Lab. Chip., 12, pp. 3249-3266Martinez, A.W., Phillips, S.T., Whitesides, G.M., Carrilho, E., (2010) Anal. 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The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
Contributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
Contributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
Contributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
Contributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
Contributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
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