时间：9月26日（周五）下午14:00—17:30
地点：英杰交流中心第四会议室
主持人：龚斌 研究员
 
报告（一）
题目："Subsurface oil or gas reservoir management and monitoring : some applications of information theory and open problems"
报告人:Beno?t Noetinger

报告摘要：
Global World economic growth will still depend on having a stable oil and gas supply for several years, but now hydrocarbon extraction becomes more and more difficult and expensive. In the same time, environmental issues such as greenhouse gas control will impose a control of CO2 emissions. Carbon Capture and Storage (CCS) techniques are an interesting alternative, involving analogous technical challenges, in the field of geology, geophysics, geochemical fluid flow modelling etc...
This highlights the importance of improving drastically computed aided integrated approaches of reservoir characterization. These approaches, accounting for both geological, geophysical and dynamical data such as fluid pressures and rates allow to extract the more hydrocarbons, at the lowest price and risks. In the side of CCS issues, controlling the integrity of cap rocks, avoiding pollution of drinkable aquifers by the CCS process for several centuries are alternative issues essential to get a social acceptance of CCS as an alternative solution. In addition, due to the fact that getting an exhaustive knowledge of the subsurface is impossible, a probabilistic (geostatistical) description allowing to account for uncertainties must be set up. Reservoir engineers are thus led to mix inverse modeling to account for the data collected during the reservoir exploitation, within these probabilistic models. IFP had a major contribution to these issues in the geoscience context, leading to the software chain known under the name of CONDORFLOW ?.
Due to the associated treatment costs, it becomes essential to be able to quantify the value of any data provided by field measurements. Theoretical tools from Information Theory allows to achieve that. Using relative entropy between probability distributions, it is possible top quantify the potential value of any data. For example, in a monitoring context, it is possible to find the optimal location of sensors providing the "best information". It is also possible to quantify the redundancy limit, when a new data does not add any new relevant information etc....
The talk will focus about the theoretical aspects of the problem, some examples and finally we will discuss avenues for future works.

报告人简介: Beno?t Noetinger
ACADEMICS:
Habilitation à Diriger des Recherches de l’Université Paris VI, in Earth sciences, awarded in october 2000.
PhD of University Paris VI, in Liquid State Physics in april 1989.
Registered engineer from Ecole Polytechnique, promotion 1982.

ACTUAL POSITION:
Institut Fran?ais du Pétrole: IFP Professor, member of the Sientific Direction of IFP. In charge of the organisation and following of PhD students. Research activities in two phase flow up scaling, flow in random media, inverse modelling .

Scientific interests:
Applications of statistical physics methods to modelling single phase of multiphase flow in porous media. Up scaling permeability, dispersivity and two phase flows in random and fractured media. Application of stochastic  methods to inverse modelling and uncertainty quantification. 

SOME PUBLICATIONS:
1. N?TINGER B ARTUS V et ZARGAR, G, The Future of Stochastic and upscaling Methods in hydrogeology, solicitated review paper of Hydrogeology Journal 13 184 201, 2005.
2. N?TINGER B ARTUS V et RICARD L, Dynamics of the Water Oil Front for Two-Phase, Immiscible Flow in Heterogeneous Porous Media. 2 Isotropic Media. Transport in Porous Media, 56 305 328, 2004.
3. ARTUS V, N?TINGER et RICARD L, Dynamics of the Water Oil Front for Two-Phase, Immiscible Flow in Heterogeneous Porous Media. 1 Stratified Media. Transport in Porous Media 56 283 303, 2004.
4. LE RAVALEC M., HU L.Y., and N?TINGER B., Stochastic reservoir modeling constrained to dynamic data: Local calibration and inference of structural parameters, SPE 68883, SPE Journal 2001.
5. N?TINGER B., Computing the Effective Permeability of log-normal permeaility fields using renormalization methods, C.R . Acad. Des Sciences, Sciences de la Terre et des Planètes, 331 353-357 (2000).

------------------------------------------------------
报告（二）
题目："Modeling of well singularities in flow simulation"
报告人：Didier Yu Ding (丁宇)
 
报告摘要：
Advanced wells (such as horizontal wells or multi-lateral wells) are getting more and more used to increase oil recovery. The performance of this kind of wells depends on various factors, such as well configurations (length, orientation, ...), reservoir heterogeneity, near-wellbore formation damage, etc. Accurate modeling of advanced wells is therefore very important for the prediction of well productivities.
The main challenge in well modeling is the singularity problem in scales between the large gridblocks (several to several hundred meters) used in dynamic flow simulation and the small wellbore diameter (several centimeters). It is difficult to get accurate results on the well by using standard numerical methods for flow simulation. In this talk, we present some numerical techniques to handle the well singularity modeling in flow simulation. Besides, modeling of near-wellbore reservoir heterogeneity and formation damage are also addressed.

报告人简介: Didier Yu Ding (丁宇)
Didier Yu Ding (丁宇) is a principal research engineer at IFP, France. His research interests include numerical modelling, reservoir simulation and characterization, complex wells and near-well flow. He holds a BS degree in mathematics from Beijing University in 1983 and MS and PhD degrees in applied mathematics from University of Paris.