Philippe Verney :

My CV
Contact : philippe AT philippeverney.com

My partners :

Total
Grooviz
IFPEN
FinanceFi

My publications :

QuickSearch:   Number of matching entries: 0.

Search Settings

    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Morandini, F., Michel, B., Verney, P., Rainaud, J.-F., Deny, L., Dulac, J.-C., Fitzpatrick, T., Eastick, R. & Towery, L. Using RESQML for Shared Earth Model Data Exchanges between Commercial Modelling Applications and In-House Developments, Demonstrated on Actual Subsurface Data

    [Abstract] [BibTeX]

    		 2011 (143846-MS)SPE Digital Energy Conference and Exhibition  inproceedings  
    Abstract: After intense collaboration among operators, service companies, and software vendors (all members of an Energistics Special Interest Group (SIG)) Version 1.0 of the RESQML data exchange standard has been released. Prototypes implemented by both vendors and operators have been tested and have proved the efficiency of the concepts.

    RESQML has been designed to support:
    - Interaction with real-time production and drilling domains;
    - Transfer of giga-cell reservoir simulation models, which are currently in use in some areas of the world, and with static reservoir models, which may be significantly larger;
    - Loss-less data transfer for complex grids, especially for non-standard connectivity;
    - Retention of the geologic and geophysical meta-data associated with 3D grids;
    - Data exchange for flexible and iterative multi-vendor subsurface workflows- across geology, geophysics and engineering.

    A demonstration will illustrate how different components of a shared earth model can be exchanged between major commercial applications. Additionally, based on the Alwyn North Field dataset, a typical validation loop involving operator in-house and vendor applications will be demonstrated. The objective is to transfer in-house interpretation results (e.g., horizons and faults) as RESQML features to diverse structural, stratigraphic, and reservoir vendor applications, then re-import the RESQML features (modelled horizon and faults, reservoir grid geometry) obtained by these applications into the in-house application to ensure, at each step, an overall consistency with the original interpretation.
    BibTeX: 
    @inproceedings{Morandini2011,
  author = {Francis Morandini and Bruno Michel and Philippe Verney and Jean-Francois Rainaud and Laurent Deny and Jean-Claude Dulac and Tony Fitzpatrick and Rob Eastick and Lisa Towery},
  title = {Using RESQML for Shared Earth Model Data Exchanges between Commercial Modelling Applications and In-House Developments, Demonstrated on Actual Subsurface Data},
  booktitle = {SPE Digital Energy Conference and Exhibition},
  year = {2011},
  number = {143846-MS}
}
    Rainaud, J.-F., Verney, P. & Mastella, L. A Knowledge-driven Shared Earth Modeling Workflow for Seismic Interpretation and Structural Model Building

    [Abstract] [BibTeX]

    		 2010 (K034)72nd EAGE Conference & Exhibition incorporating SPE EUROPEC 2010  inproceedings  
    Abstract: We have been claiming for several years that Shared Earth Modeling should be “knowledge-driven”. This approach considers geology as a key knowledge to which all expert fields necessarily refer. According to this approach, a permanent link can be established at each stage of the modeling process between the various objects considered (seismic reflectors, well markers, geometrical surfaces) and the geological objects (GeologicalUnits, GeologicBoundaries) to which they have been associated thanks to geological interpretation. In this paper we explain how we formalize, populate, reuse, extract and exploit this knowledge for opening the communication between several processing stages (prospect initiation, well marker, seismic interpretation, structural modelling) and for offering the possibility of permanently completing and updating the various representations. This solution, based on a semantic approach, basically consists in formalizing knowledge attached to geological, seismic and well log data by means of Domain Ontologies, operating a knowledge based method for seismic interpretation and providing results allowing automated building of a structural model, opening the possibility of retrieving all useful information concerning the interpretations operated at the various stages of the modeling workflow by means of various knowledge management tools. This solution will be described in reference with a practical example. ...
    BibTeX: 
    @inproceedings{Rainaud2010,
  author = {Jean-François Rainaud and Philippe Verney and Laura Mastella},
  title = {A Knowledge-driven Shared Earth Modeling Workflow for Seismic Interpretation and Structural Model Building},
  booktitle = {72nd EAGE Conference & Exhibition incorporating SPE EUROPEC 2010},
  year = {2010},
  number = {K034}
}
    Verney, P. Interprétation géologique de données sismiques par une méthode supervisée basée sur la vision cognitive

    [Abstract] [BibTeX]

    		 2009 School: Ecole Nationale Supérieure des Mines de Paris  phdthesis URL 
    Abstract: L'objectif de ce travail est de réaliser une nouvelle plateforme d'interprétation sismique 3D semi-automatique basée sur la connaissance géologique employée aujourd'hui par les experts du domaine. A l'heure actuelle, la majeure partie des solutions sont basées sur les traitements d'image et l'utilisation de quantités d'attributs sismiques. Elles fournissent un résultat interprétable par un expert qui réalise alors une correspondance informelle entre la nouvelle image obtenue et des objets géologiques. Nous désirons explorer une nouvelle méthodologie mettant en avant la formalisation de la connaissance utilisée dans l'interprétation sismique comme la vision cognitive le permet et le conseille. Ainsi, nous caractérisons le résultat des traitements d'images opérés sur le bloc sismique grâce à des concepts et à relations visuelles provenant d'une ontologie dédiée. Ces caractéristiques nous permettent alors de formaliser l'interprétation d'objets géologiques à partir de ces instances et ainsi de proposer de manière automatique des solutions d'interprétation d'un bloc sismique, que l'expert pourra choisir de valider. Dans ce travail, nous avons à coeur de nous concentrer sur l'identification de deux premiers objets géologiques à identifier dans une image sismique : les horizons et les failles. Une ontologie de ce domaine d'étude est proposée afin de servir de base pour la création de la plateforme.
    BibTeX: 
    @phdthesis{Verney2009,
  author = {Philippe Verney},
  title = {Interprétation géologique de données sismiques par une méthode supervisée basée sur la vision cognitive},
  school = {Ecole Nationale Supérieure des Mines de Paris},
  year = {2009},
  url = {http://pastel.paristech.org/5861/01/These_Verney.pdf}
}
    Verney, P., Perrin, M., Thonnat, M. & Rainaud, J.-F. An Approach of Seismic Interpretation Based on Cognitive Vision

    [Abstract] [BibTeX]

    		 2008 (B024)70th EAGE Conference and Exhibition  inproceedings  
    Abstract: Advanced seismic interpretation most commonly rests on transforming original data representations by considering more or less numerous seismic attributes, which bear no explicit relation with geology. For this reason, they hardly allow fully solving problems such as reassembling sparse geological surface elements or specifying chronological or topological relationships between surfaces such as unconformity, on lap, interruption by fault. The present work intends to make further progress in geology-based interpretation of seismic data by using artificial intelligence tools based on cognitive vision. We propose a cognitive vision workflow for seismic interpretation based on a visual ontology and on three associated module dealing for data management, visual characterisation and geological correlation. An example of results is given showing the possibilities of the method for easily merging disconnected reflectors within one stratigraphical horizon taking into account simple geological criteria (amplitude, thickness, dip, vertical distance between reflectors).
    BibTeX: 
    @inproceedings{Verney2008,
  author = {Philippe Verney and Michel Perrin and Monique Thonnat and Jean-François Rainaud},
  title = {An Approach of Seismic Interpretation Based on Cognitive Vision},
  booktitle = {70th EAGE Conference and Exhibition},
  year = {2008},
  number = {B024}
}
    Verney, P., Rainaud, J.-F., Perrin, M. & Thonnat, M. Méthode pour construire un modèle géologique par interprétation sismique au moyen de techniques de vision cognitive

    [BibTeX]

    		 2008 (5794/00/BA)  patent  
    BibTeX: 
    @patent{Verney2008a,
  author = {Philippe Verney and Jean-François Rainaud and Michel Perrin and Monique Thonnat},
  title = {Méthode pour construire un modèle géologique par interprétation sismique au moyen de techniques de vision cognitive},
  year = {2008},
  number = {5794/00/BA}
}
    Verney, P., Rainaud, J.-F., Perrin, M. & Thonnat, M. A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means of cognitive vision

    [Abstract] [BibTeX]

    		 2008 SEG Las Vegas 2008 Annual Meeting, pp. 874-878  inproceedings  
    Abstract: The present paper presents preliminary results obtained through a new seismic interpretation methodology based on cognitive vision. This methodology consists in associating to the geological objects to be detected, horizons or faults, visual characteristics that allow to easily identify and correlate them on seismic images. The results presented show that the method is performing well and is easy to be integrated in Shared Earth Modeling workflows.
    BibTeX: 
    @inproceedings{Verney2008b,
  author = {Philippe Verney and Jean-François Rainaud and Michel Perrin and Monique Thonnat},
  title = {A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means of cognitive vision},
  booktitle = {SEG Las Vegas 2008 Annual Meeting},
  year = {2008},
  pages = {874-878}
}