The document introduces EDFM (Embedded Discrete Fracture Model), a fracture simulation technique developed by Sim Tech LLC. EDFM can more accurately model complex fracture networks compared to traditional reservoir simulators. It overcomes limitations of local grid refinement and unstructured grids by embedding fracture descriptions directly into the reservoir grid. EDFM also allows for efficient coupling of fracture models from third-party software with any reservoir simulator. Case studies demonstrate EDFM can better history match production from fractured wells and evaluate enhanced oil recovery techniques involving refracturing or injection.
PIC-MCCM is a module to compute plasma parameters of non-equilibrium and low temperature plasma in various semiconductor manufacturing reactors, magnetron sputtering reactors and thin-film manufacturing reactors. A numerical method of behavior of charged particles is PIC(Particle-In-Cell) method and a numerical method of collision between charged particles and neutral particles (elastic, in-elastic such as ionization, excitation, charge exchange and dissociation etc.) is Monte Carlo method, respectively. PIC-MCCM is a module to compute the motion of charged particles by small time steps (less than nsec) in the electric field generated by spatial charge and electrodes(RF,DC and grounded),insulators and/or ICP coils under magneto-statistical field in three-dimensional Cartesian coordinates.
Usually remote-plasma equipment is used as plasma CVD equipment and dry etching equipment. The feature reduces the incidence ion bombardment and the influence of photons to the substrate, and makes easy control of distribution of the activated species on the substrate compared with parallel plate type plasma equipment in thin-film generation and thin-film processing.
PIC-MCCM is a module to compute plasma parameters of non-equilibrium and low temperature plasma in various semiconductor manufacturing reactors, magnetron sputtering reactors and thin-film manufacturing reactors. A numerical method of behavior of charged particles is PIC(Particle-In-Cell) method and a numerical method of collision between charged particles and neutral particles (elastic, in-elastic such as ionization, excitation, charge exchange and dissociation etc.) is Monte Carlo method, respectively. PIC-MCCM is a module to compute the motion of charged particles by small time steps (less than nsec) in the electric field generated by spatial charge and electrodes(RF,DC and grounded),insulators and/or ICP coils under magneto-statistical field in three-dimensional Cartesian coordinates.
Usually remote-plasma equipment is used as plasma CVD equipment and dry etching equipment. The feature reduces the incidence ion bombardment and the influence of photons to the substrate, and makes easy control of distribution of the activated species on the substrate compared with parallel plate type plasma equipment in thin-film generation and thin-film processing.
Apresentação de Victor Manuel Salazar Araque, da Computer Modelling Group, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
Why Frac & How it works!
Rock Mechanics
Fundamentals of Hydraulic Fracturing
Fracturing models
Design criteria for frac treatments
Frac Equipment
Frac chemicals and proppants
QC for Frac job
Hydraulic fracturing technologies and practices
SCR and TTR modeling using shell and beam elements to deal with local interests, such as touch-down compression or buckling. Two examples are presented. The FEA tool employed is ABAQUS. Videos can only be seen when downloaded.
Title: Evaluation of Multistage Hydraulic Fracturing Techniques for Production Optimization in Naturally Fractured Reservoirs Using Coupled Geomechanics Fracture and Flow Model
High Performance Computing for Instabilities in Aerospace Propulsion Systemsinside-BigData.com
In this deck from PASC 2019, Thierry Poinsot from Toulouse Fluid Mechanics Institute presents: High Performance Computing for Instabilities in Aerospace Propulsion Systems.
"Combustion produces more than 80 percent of the world's energy. This will continue for a long time as the global energy growth remains much larger than what new renewable energies can provide. Our civilization must allow the growth of combustion sources but, at the same time, keep global warming as well as pollution under control. Science has a key role in this scenario: it must optimize combustion systems far beyond the present state of the art. To do this, one promising path is to use High Performance Computation to compute and optimize combustors before they are built. This talk focuses on aerospace propulsion where optimization often leads to the occurrence of instabilities where combustion couples with acoustics, leading to unacceptable oscillations (the most famous example is the Apollo engine which required 1330 full scale tests to reach acceptable oscillation levels). The talk will show how simulation is used to control these problems, in real gas turbine engines and in rocket engines."
Watch the video: https://wp.me/p3RLHQ-kq4
Learn more: https://pasc19.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Apresentação de Victor Manuel Salazar Araque, da Computer Modelling Group, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
Why Frac & How it works!
Rock Mechanics
Fundamentals of Hydraulic Fracturing
Fracturing models
Design criteria for frac treatments
Frac Equipment
Frac chemicals and proppants
QC for Frac job
Hydraulic fracturing technologies and practices
SCR and TTR modeling using shell and beam elements to deal with local interests, such as touch-down compression or buckling. Two examples are presented. The FEA tool employed is ABAQUS. Videos can only be seen when downloaded.
Title: Evaluation of Multistage Hydraulic Fracturing Techniques for Production Optimization in Naturally Fractured Reservoirs Using Coupled Geomechanics Fracture and Flow Model
High Performance Computing for Instabilities in Aerospace Propulsion Systemsinside-BigData.com
In this deck from PASC 2019, Thierry Poinsot from Toulouse Fluid Mechanics Institute presents: High Performance Computing for Instabilities in Aerospace Propulsion Systems.
"Combustion produces more than 80 percent of the world's energy. This will continue for a long time as the global energy growth remains much larger than what new renewable energies can provide. Our civilization must allow the growth of combustion sources but, at the same time, keep global warming as well as pollution under control. Science has a key role in this scenario: it must optimize combustion systems far beyond the present state of the art. To do this, one promising path is to use High Performance Computation to compute and optimize combustors before they are built. This talk focuses on aerospace propulsion where optimization often leads to the occurrence of instabilities where combustion couples with acoustics, leading to unacceptable oscillations (the most famous example is the Apollo engine which required 1330 full scale tests to reach acceptable oscillation levels). The talk will show how simulation is used to control these problems, in real gas turbine engines and in rocket engines."
Watch the video: https://wp.me/p3RLHQ-kq4
Learn more: https://pasc19.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
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3. ØWe are an independent consulting and software development company.
ØWe specialize in dealing with the complex fractured reservoirs.
ØWe develop EDFM fracture simulation software.
Gabbro, Fractured surface of
shale rock, Oklahoma, USA
Fracfocus
3
www.simtechnologyus.com
4. Big challenges for traditional reservoir simulators to
simulate fractures accurately and efficiently
Local Grid
Refinement
(CMG/ECL)
Y. Wu, et al, 2014
DPDK
(ECL)
Hydraulic
fractures
Natural
fractures
v Create huge grids to
describe fractures
v Can't handle complex
fractures
v Computationally expensive
v Duplicate grid to represent
DFN
v Over simplified fracture
communication, low
accuracy
4
www.simtechnologyus.com
6. Popular Fracture modeling technologies VS EDFM
• Overall, EDFM has the best performance in Accuracy, Computational
efficiency and flexibility.
6
www.simtechnologyus.com
7. Study of LGR Grid vs EDFM Process
LGR • LGR grids more difficult to
create.
• LGR grids have more grid
cells in model.
• LGR grid simulations are
longer to run.
• EDFM: easy to implement,
faster running time, powerful
to handle complex geometry
complexity
EDFM
7
www.simtechnologyus.com
8. Study of Unstructured Grid Comparison
EDFM
Unstructured
grids
• Unstructured grids more
difficult to create
• Unstructured grids have more/
different grid cells in model
• Unstructured grids simulations
are longer to run
• EDFM, handle complexity
easily and more powerful, it’s
efficient and practical than
unstructured grid
8
www.simtechnologyus.com
9. EDFM Preprocessor
Reservoir simulators
(UTCOMP, UTCHEM,
CMG, ECLIPSE, …)
EDFM Preprocessor
- fracture properties
- matrix permeability
Detect geometrical
intersection between matrix
blocks and fractures
Cut fractures into segments
with matrix cell boundaries
Create virtual gridblocks in
computational domain
for fracture segments
Add non-neighboring
connections for fracture
blocks
Run simulator
NNC list
Fracture
grids
Matrix
grids
10. Game Changer --- EDFM Preprocessor
• EDFM as a bridge to couple realistic fracture models to any reservoir
simulation with true fracture geometry
Fracman
Fracflow
Petrel
Kinetix(Mangrove)
Gohfer
Stimplan
EDFM
Preprocessor
Eclipse
CMG
tNavigator
Intersect
Nexus
9
3rd party fracture model 3rd party reservoir simulator
ØNo need to: build a new reservoir model, buy a new fancy expensive simulator,
purchase super computer. Save time and money!
ØData transfer module that streamlines the workflow. EDFM will import 3rd party’s
fractures directly into your existing simulator.
www.simtechnologyus.com
12. Vertical Well Refracturing (Wattenberg Field)
1st Refrac
2nd Refrac
1,000 days 2,000 days 3,000 days
Initial fractures 1st refractures (1,000 days)
2nd refractures
(2,000 days)
Cumulative gas production
Pressure profiles (1,000 days after fracture creations)
13. • Refracturing the 4 vertical wells and fracturing a new well
13
0
1500
0 X, ft 1500
Y,ft
width, inch
0
0.1
14. Refracturing for Horizontal Well
14
Pressure-dependent fracture conductivity
with restoration of fracture conductivity
Enlarged fracture geometry
Increased fracture height
Equal area
15. Influence of Different Refracturing Mechanisms
No refracturing
Refracturing
No refracturing
Horizontal growth
Vertical growth
q Key to a successful refracturing work: create fracture areas in unstimulated zones
q Create new fractures
q Extend existing fractures
q When fracture conductivity is sensitive to stress, enhancement of fracture conductivity through refracturing
could also effectively improve the ultimate recovery
17. Field Application in Niobrara Tight Gas
URTeC 2901327
Well interference due to long fracture hits
18. Field Application in Niobrara Tight Gas
Well 1 Well 2
Well 3 Well 4
Well 5 Well 6
Fracture Conductivity from History Matching
19. Field Application in Niobrara Tight Gas
Simulation
model
Number of
gridblocks
Number of time
steps
CPU time
(second)
The ratio of CPU
time (LGR/EDFM)
EDFM 291,900
733 (history) 1,589
14 (history)
20 (forecasting)
670 (forecasting) 1,763
LGR 855,750
1420 (history) 21,720
1378 (forecasting) 33,619
LGR EDFM
Pressure Profiles (middle layer) after 40 yearsPressure in the fractures
20. Field Application in Niobrara Tight Gas
Fractures in the
simulation
Number of
wells
Three-well
production/ Six-
well production
HF + 4000 NF
(0.02 md-ft)
3
68%
6
Six wells Three wells
22. Impact of complex fractures(Marcellus Shale)
• Traditional fracture simulation method underestimates the impact of
natural fracture and the complexity of fractures.
13
After HM
period
Simple fractures
After 10 years
Complex fractures
24. 3rd party import-Gofher
Gofher Frac
New grid model generated with
frac integrated in
Display reservoir simulator
outputs with EDFM frac
15
www.simtechnologyus.com
25. Field Case Study of Well Interference in Eagle Ford
LWD Ultrasonic imager to identify fractures Well spacing 250-550 ft and cluster spacing 20-70 ft
IPTC 19468
26. Field Case Study of Well Interference in Eagle Ford
W1H W2H W3H W4HW5H W6H W7H W8H W9H
2168 hydraulic fractures
28 long fractures (fracture hits)
L1
L2
L3
L4
L5
L6
L7
27. Field Case Study of Well Interference in Eagle Ford
History matching results for
4 parent wells and 5 child wells
28. Field Case Study of Well Interference in Eagle Ford
28 long fractures 750-3750 ft
Fracture conductivity 0.5 md-ft
2168 hydraulic fractures with conductivity of 3-360 md-ft, half-length of 55-100 ft, height of 30-75 ft
W1H W2H W3H W4HW5H W6H W7H W8H W9H
29. EOR Study in Eagle Ford with Fracture Hits
Gas injector Gas injectorWater injector
2 Gas injectors
• Full model - 15 MMscf/d
• Sector model
900,000 MMscf/d (6%)
• One cycle of 30 days
• 50 cycles
1 water injector
• Full model – 4320 bpd
• Sector model
260 bpd (6%)
• One cycle of 30 days
• 10 cycles
• Injection BHP – 3500 psi
30. EOR Study in Eagle Ford with Fracture Hits
Child
Wells
Primar
y
Huff-n-Puff (7-
12%)
Water
Injection(10-15%)
Containment Opt
(20-30%)
Parent Wells
Production Strategy
Cumulative Oil Prod
(6% Sector model)
Incremental Oil
recovery
Primary 143,255 BBLS -
Huff-n-Puff 153,802 BBLS 7%
Huff-n-Puff+ Water 160,420 BBLS 12%
2 Gas Huff-n-Puff + Pressure containment 184,000 BBLS 29%
SPE 195240
Field operation of
gas Huff-n-Puff in Eagle Ford
31. 3rd party import --- Petrel with massive natural fractures
Natural Frac
Reservoir Model
EDFM Processor
Embed fracture/Calculate Non-
Neighboring Connections &
Transmissibility
New grid model generated with
frac integrated in
Matrix Grid 146*96*50 Treatment
frac Number 12,958 EDFM
frac number 267,756 EDFM+DPDK
Challenges:
• Full field with 15 wells
• Huge massive natural fractures
• Accurate modeling and simulation
Solution:
• EDFM couples with DPDK
• 3 years history matching
16
www.simtechnologyus.com
32. Summary
üEDFM can overcome the limitations of all the existing
mumerical methods
üMultiple refracturing scenarios considering natural fractures can
be examined for optimization of refracturing strategies for a
multi-well pad
üTested & Validated on multiple reservoir types and scenarios.
17
www.simtechnologyus.com
33. Thanks for your time!
Appreciate your comments!
18
YUWEI127@GMAIL.COM
MJ.MIAO@SIMTECHNOLOGYUS.COM
WWW.SIMTECHNOLOGYUS.COM