A5036390918- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Seismic Imaging and Inversion Techniques
- Geological Modeling and Analysis
- Hydrocarbon exploration and reservoir analysis
- Geological formations and processes
- Water resources management and optimization
- Enhanced Oil Recovery Techniques
- Soil Geostatistics and Mapping
- Advanced Mathematical Modeling in Engineering
- Carcinogens and Genotoxicity Assessment
- Computational Drug Discovery Methods
- Drilling and Well Engineering
- Geophysics and Gravity Measurements
- Advanced Numerical Methods in Computational Mathematics
- Advanced Bandit Algorithms Research
- Machine Learning and Algorithms
- Groundwater flow and contamination studies
- Geology and Paleoclimatology Research
- Pesticide Residue Analysis and Safety
- Atmospheric and Environmental Gas Dynamics
- Radiation Effects and Dosimetry
- Peatlands and Wetlands Ecology
- Pesticide and Herbicide Environmental Studies
- Occupational exposure and asthma
IFP Énergies nouvelles
2015-2024
Servier (France)
2013-2020
Nestlé (Switzerland)
2019
Health Canada
2019
Kelly Services (United States)
2018
The Bristol-Myers Squibb Children's Hospital
2018
Centro de Epilepsia y Neurocirugía Funcional
2018
Institut Français
2004-2010
The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related predictions. This contribution articulates information needed for support predictions major toxicological endpoints concern (e.g., genetic toxicity, carcinogenicity, acute reproductive developmental toxicity) regulatory bodies. Such novel (IST)...
In silico toxicology (IST) approaches to rapidly assess chemical hazard, and usage of such methods is increasing in all applications but especially for regulatory submissions, as assessing chemicals under REACH well the ICH M7 guideline drug impurities. There are a number obstacles performing an IST assessment, including uncertainty how assessment associated expert review should be performed or what fit purpose, lack confidence that results will accepted by colleagues, collaborators...
The assessment of skin sensitization has evolved over the past few years to include in vitro assessments key events along adverse outcome pathway and opportunistically capitalize on strengths silico methods support a weight evidence without conducting test animals. While vary greatly their purpose format; there is need standardize underlying principles which such models are developed make transparent implications for uncertainty overall assessment. In this contribution, relationship between...
The International Council for Harmonization (ICH) M7 guideline describes a hazard assessment process impurities that have the potential to be present in drug substance or product. In absence of adequate experimental bacterial mutagenicity data, (Q)SAR analysis may used as test predict impurities' DNA reactive (mutagenic) potential. However, certain situations, software is unable generate positive negative prediction either because conflicting information impurity outside applicability domain...
One of the main objectives petroleum exploration consists predicting reservoir location.Data collected in basin are used to better understand sedimentary architecture, but usually insufficient accurately characterize this architecture.Three-dimensional stratigraphic forward modeling has brought new insights understanding sediment distribution.It gives opportunity investigate several geological models and tackle presence probability.However, simulation time is a strong limitation properly...
Abstract This paper shows the results of an assisted history-matching process applied to a North Sea field case operated by Statoil. The dynamic data considered, that is varying with fluid flow, are both production and 4D-seismic related data. entails geology fluid-flow simulation workflow, including population geological model facies petrophysical properties using geostatistical algorithms, saturation pressure changes in reservoir computation time-lapse seismic attributes. workflow also...
Reservoir models are used for predicting future oil recovery or evaluating alternative field management scenarios. They can be considered as reliable when they account all available data collected on the field: split into static such logs measurements carried out cores extracted from wells and dynamic pressures flow rates. Since late nineties, latter also consist of 4D seismic data. This motivated development very specific workflows, which yield reservoir respecting In this paper, we focus...
Abstract The gradual deformation method (GDM) is a geostatistical parameterization technique that generates sequence of realizations evolving smoothly while preserving the statistical characteristics model. Combined with an optimization algorithm, it enables to constrain 3-D reservoir models both static data (log data, prior geological information…) and dynamic (production such as pressure or water cut at wells…). based on weighted combination several using parameters. It can thus be applied...
In this paper, we consider a multilithology diffusion model used in the field of stratigraphic basin simulations to simulate large scale depositional transport processes sediments described as mixture L lithologies. This is simplified one for which surficial fluxes are proportional slope topography and lithology fraction with unitary coefficients. The main variables system sediment thickness h, surface concentrations cis i at top basin, ci inside basin. For model, decouples from other...
Abstract We propose a workflow to reduce initial uncertainty of the reservoir model by incorporating production data. Advanced statistical methods such as sensitivity analysis, Gaussian process response surfaces, sequential experimental design and gradual deformation are combined produce very cost effective approach data assimilation. In previous works, surface have been proven quite for propagation workflows; however they were only able deal with continuous discrete parameters. By using...
In this paper, we consider a multi-lithology diffusion model used in stratigraphic modelling to simulate large scale transport processes of sediments described as mixture L lithologies. This is simplified one for which the surficial fluxes are proportional slope topography and lithology fraction with unitary coefficients. The main unknowns system sediment thickness h, surface concentrations i at top basin, ci inside basin. For model, decouples from other satisfies linear parabolic equation....
In this paper, we focus on the joint integration of production and 4-D inverted seismic data into reservoir models. These correspond to different types scales. Therefore, developed two-scale simulation workflows making it possible incorporate at right scale. This issue also emphasized need for adapting traditional history-matching methodologies. For instance, formulation objective function development customized parameterization techniques turned out be two key factors controlling efficiency...
Abstract This paper shows the application of two ensemble-based assimilation methods, Ensemble Kalman filter (EnKF) and Smoother (ES), to constrain an underground gas storage site well pressure data. The EnKF is a sequential data method that provides ensemble models constrained dynamic It entails two-step process applied any time are collected. First, production responses computed for every model within until following acquisition time. Second, updated using reproduce measured at has been...