صفحه 1:
Investigation of the modeling of
ee, fractured reservoirs by DFN method
Class Seminar: fractured reservoir
Supervisor :
Dr.Miri
student: Sevda Saedi
Email: sevdasaedi@ut.ac.ir
spring 1398
صفحه 2:
Table oT
Content
صفحه 3:
Carbonate reservo
oil 60% gas 40%
۳
Oil shale
Asia Pacific (405 Proved oil reserves' | ۳ ۰
North America 0 9 Oil in carbonates? BS
South and Contral America 703.5 ۲ سس Gas shale
Arica 72 Doop carbonates
Europe and Eurasia (IR 7444
عمد شير 099999 7 Bh ماعط oi province
Thousand million barrels
ervoir distribution 3
صفحه 4:
What is fracture?
Necessity for Modeling Natural
Fractures?
Necessity for Discrete Fracture Net
Models?
صفحه 5:
acterizatio
Fracture Characteristics: Location, Orientation
and Size
Fracture Aperture
Fracture Density
Fracture Permeability, Connectivity and Porosi
صفحه 6:
3 (41)
Fracture ۲ 7 x
plane ۱
Azimuth
Horizontal
xy plane
Fracture
strike
mis thickness :Aperture
Fig 2: 3D fracture[4)_ | Coordinates of center: x, y, Z
Orientation: Dip and Azimuth
radius :Rad 6
صفحه 7:
L
Fig 4: fracture plane Fig 3: fracture[14]
morphology
[14]
صفحه 8:
x.) (Rad,)°
FracDen = ——__—_
Model Volume
صفحه 9:
rte
Fig 5: 3D fracture[31]
صفحه 10:
» Seismology
>» Outcrop Analysis
» Conventional Logging Measurements
» Core Descriptions
» Drilling Data
< Flow and Pressure Tests
> Production Data
صفحه 11:
Fig 6: Showing 3 faults in seismic mapF4g 7 : Outcrop of joints in the
limb of a non-cylindrical fold in
Lavernock Point[4]
11
صفحه 12:
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Gig
2-2 6 8 مهو
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Fig 8: Core samples in well Fig 9: FMS fracture
A, Palm Valley NFR: open interpretation in well E, Palm
fractures of high dip and Valley NFR[4]
large aperture.
12
صفحه 13:
Table 1: data sources as tools for fracture detection: scales, response characteris
Data sources Fracture parameters Scale/coverage
of investigation
Orientation Regional
Fracture size
Fracture density
Fracture perm and
connectivity
Orientation Local and Regional
Fracture size
Fracture density
Fracture perm and
connectivity
الیل يت نانفا Orientation Wellbore
Fracture size
Fracture porosity
Fracture perm and
connectivity
Orientation Wellbore
Fracture size
Fracture density
Fracture perm and
connectivity 13
صفحه 14:
2 analysi
صفحه 15:
Statistical analysis
“* Fracture Orientation
probability distribution function :
normal - uniform - von Mises- circular
* Fracture Size
Multifractal Geometry
صفحه 16:
Statistical analysis
** Fracture Orientation
Fig 10: Orientation data Fig 11: Left: one fracture set,
available a section of well F, right two fracture set[28] 46
Palm Vallev NFRI41
صفحه 17:
N(I) =
Slope=D
Log Mi) سس
1020 سس
Fig 13: logarithmic plots for
estimation of fractal 11
Statistical analysis
* Fracture Size
Multifractal Geometry
quare boxes of side
length 7
Fig 12:Box-counting method
for a natural fracture
صفحه 18:
Spatial analyses using geostatistics
** Fracture location distribution
* poisson distribution
٠ parent-daughter model
** Geostatistical analyses
semivariogram - variogram - Kriging
** Fracture density distribution
ANN- fuzzy logic
صفحه 19:
19
۱ data
Field-scaled data: ۰ Conventional well logs
+ Seismics + Wellbore images
۰ 5 * Core descriptions
* Other geological © Drilling data
surveys ٠ Well production and
Pressure tests
Fracture
Characterization
Intermediate data of fracture properties:
Location, orientation, size, density, porosity,
permeability and connectivity
Data Analyses Data Integration
and behaviours
Fig 14: Procedure for the NFR
characterization - from raw data to
statistics and behaviors of the DFN.[4]
صفحه 20:
Discrete fracture model:
** simulate individual fracture properties
* predict fluid flow behavior from knowledge
of fracture geometry and conductivity
** deterministic - stochastic - integrated
صفحه 21:
Wellbore data
* Conventional well logs
+ Wellbore images: FMS,
BHIV.
« — Core descriptions
+ Drilling data
* Well production and
Pressure tests
Characterization
Field-scaled data
+ Seismics
+ Outcrops
* Other geological
surveys
Yo yy
Fig.15: Overall methodology for NFR
characterisation and modelling[4]
Final Discrete Fracture Network
Statistical Fuzzy Neural
Analyses Spat Anis Network Analyses
[
۱ ۱
Fractal Nested Stochastic Fracture network's target
Simulation properties to be matched
ل كك 1
Initial Discrete Fracture Conditional Global
Network ۶ | optimization Simulation
صفحه 22:
Fig 18: Major faults in Palm Valley NFR a
صفحه 23:
1 Application of fracture network model with crack permeability
tensor on flow and transport in fractured rock )Jian-Bang Pan, Chen-
Chang Lee, Cheng-Haw Lee x, Hsin-Fu Yeh, Hung-! Lin(
2- D fracture modeling integrating geomechanics and geologic
data.)Laetitia Mace)
3-Discrete fracture network approach for studying contamination in
fractured rock)Beth L. Parker, John A. Cherry and Steven W.
Chapman(.
4- Characterisation and modeling of naturally fractured
reservoirs)Nam Hong Tran(
-5 Discrete fracture network modeling for a carbonate
reservoir)Adlet S. Jambayev(
6- Permeability tensor for discontinuous rock masses)M. Oda)
صفحه 24:
8- Nested geological modelling Of naturally fractured reservoirs. )Cacas,
M.C., Daniel, J.M(
9- Integrated fractured reservoir characterisation using neural networks
and fuzzy logic)Zellou, M(
-10Generation of a realistic discrete fracture network model using
deterministic Input data derived from 3D multicomponent seismic
amplitude data)Simon Emsley*, Shihong Chi, Jim Hallin (
11-deterministic versus stochastic discrete fracture network(DFN)
modellingTapplication in a heterogeneous naturally fractured reservoir
12-Potential utilizations of 3D printed Fracture network model(Anna
Suzukil,2, Kewen, Li)
13-Three dimensional modeling of fractures in rock (Kevin Hestir, Jean-
Paul Chiles,| Jane Long)
-14Fractured porous media(Pierre M.Adler,Jean-Franc)
صفحه 25:
15- Modelling Fracture Flow With A Stochastic Discrete Fracture
Network(Cacas et al. (1990))
16- Geometry and topology of fracture) Huseby, O., Thovert, J.-F.,
and Adler, P.M.(1997) (
-17numerical and stochastic models of flow in 3D discrete fracture
networks(J-R. de Dreuzy 1, J. Erhel 2)
18-Flow simulation in three dimentinal discrete fracture
network(Jocelyne Erhel)
19-http://www.statisticshowto.com/unimodal-distribution-2/
تحلیل فضایی گردشگری با استفاده از مدلهای ترکیبی در محیط )سید یاسر -20
حكيم دوست(
21 httosilal : 0
صفحه 26:
۲ - مشخصات نویسندگان مقاله تخمین تخلخل موثر و تراوایی به روش منطق فازی در مخزن آسماری.یکی از
میادین نفتی خلیج فارس)مریم ارغا(
23- Finite element generation of arbitrary 3-D fracture networks for
flown analysis in complicated discrete fracture networks(Qi-Hua
Zhang )
24-A three dimensional stochastic fracture network model for
geothermal reservoir (Xiaonan Wang, Ahmad Ghassemi)
25-Deterministic versus stochastic discrete fracture network
moelling application in heterogeneous NFR(Meyssam tavakkoli)
26-Three dimentional modeling of fractures in rock(Kevin Hestir,
Jean-Paul Chiles,| Jane Long, and Daniel Billaux2)
-27 Flow and transport in porous media and fractured
rock) Muhammad Sahimi(
28- Microseismicity-constrained discrete fracture network models for
stimulated reservoir simulation (Sherilyn Williams-Stroud1, Chet
Ozgen2)
29- Fracture network modeling of Hijiori hot dry rock reservoir by
deterministic and stochastic crack network simulator(D/SC)
( Kazuhiko Tezukal and Kimio Watanabe2)
30- Fractal and geostatistical methods for modeling of a fractur
صفحه 27:
, Thanks for your
attention