报告内容摘要

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About 30 % of known hydrocarbon reserves are contained in naturally fractured formations. Recovery factors may vary considerably, due to difficulties to get a reliable characterization of the whole set of fracture positions, shapes and flow properties. Commercial integrated software suites, like FRACA Flow, provide workflows allowing to build 3D Discrete Fracture Network (DFN) models using geological, seismic and well data. Additional modules enable to simulate transient well tests and to facilitate the fracture properties calibration. As soon as the fracture model is built, gradual deformations of the DFN may be used to improve the history matching.

Connectivity (percolation) effects are emphasized, a flow localization phenomena (flow through the connected fracture network) can be observed. This implies an amplified sensitivity to coupled processes (like geomechanical damage of the conducting fractures etc..). Localization imply that large uncertainties are to be expected, that increase the risks and associated exploitation costs. Simulating the dynamic behavior of such reservoirs, using as much as possible a workflow accounting for both fine scale data and geological considerations, permits to estimate these risks, and to improve the final recovery. Dynamic simulations at the field scale are still based on continuous approaches, due to computing limitations. So, an up-scaling step remains necessary inside the workflow to capture the DFN information. The continuous model is generally a set of double porosity/double permeability equations that captures the dual nature of flows in fractured reservoirs: the fluid flows to the wells via the fracture network.

Here, Kf  and Km are second order full tensors (in principle symmetric), the P’s denoting fluid pressure. The flux Qmf(x,t) characterizes the flow between matrix and fractures and f(x,t) represents the external source term via wells, here connected with the fracture medium only (unless connection with the matrix is possible).

The presentation will focus about setting up rigorous workflows allowing to combine the DFN approach, as well as the associated continuous description. Open challenges will be discussed.

 

 

报告人简介

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Dr NOTINGER Beno?t

Now Senior Expert at IFP Energies Nouvelles, Rueil Malmaison France

Academics:

HdR.

October 2000: Habilitation à Diriger des Recherches from university Paris VI. "Steady state and transient Fluid flows in fractured and heterogeneous porous media"

-April 1989: PhD from University Paris VI intitulée '' Sedimentation and transport of particles in a viscous Fluid".

-Master from université Paris VI ?Liquid state Physics ? in 1986

-Graduated from  Ecole Polytechnique in 1985.

 

Teaching.

Université de Pau et des Pays de l’Adour, Master Petroleum Engineering:

·         Up scaling and uncertainties

·         Well test in fractured media (Master 1 ? Génie Pétrolier  : 10 h

From 2001 : Ecole Nationale Supérieure des Mines de Paris (Paris Tech)

·         :1h 30 Up scaling heterogeneous porous media.

From 2010 : Ecole Centrale de Paris

·         15h teaching about Reservoir modelling at third year students of Ecole Centrale de Paris (ECP). Head of the Fossil energy department..

2009, Invited professor at University of Wyoming, Laramie.

 

Research : key words.

HC Reservoir modelling, flow in porous media, up scaling, flow in fractured media, geostatistics, homogenization, stochastic partial differential equations, sensitivity analysis, uncertainty analysis, history matching, model reduction techniques, Information theory, Molecular dynamics simulations in nanopores, flow in tight rocks.