Articles | Volume 10, issue 2
https://doi.org/10.5194/se-10-537-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-537-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2019
Research article |
| 17 Apr 2019
| 17 Apr 2019
A new methodology to train fracture network simulation using multiple-point statistics
Pierre-Olivier Bruna
CORRESPONDING AUTHOR
Department of Geoscience and Engineering, Delft University of Technology,
Delft, the Netherlands
Julien Straubhaar
Centre d'hydrogéologie et de géothermie (CHYN), Université de
Neuchâtel, Emile-Argand 11, 2000 Neuchâtel, Switzerland
Rahul Prabhakaran
Department of Geoscience and Engineering, Delft University of Technology,
Delft, the Netherlands
Department of Mechanical Engineering, Section of Energy Technology,
Eindhoven University of Technology, Eindhoven, the Netherlands
Giovanni Bertotti
Department of Geoscience and Engineering, Delft University of Technology,
Delft, the Netherlands
Kevin Bisdom
Shell Global Solutions International B.V., Grasweg 31, 1031HW Amsterdam, the
Netherlands
Grégoire Mariethoz
University of Lausanne, Institute of Earth Surface Dynamics (IDYST)
UNIL-Mouline, Geopolis, office 3337, 1015 Lausanne, Switzerland
Marco Meda
ENI Spa, Upstream and Technical Services, San Donato Milanese, Italy
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Cited
24 citations as recorded by crossref.
- FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance P. Namongo Soro et al. 10.1016/j.cageo.2024.105656
- Variational Phase‐Field Modeling of Hydraulic Fracture Interaction With Natural Fractures and Application to Enhanced Geothermal Systems B. Lepillier et al. 10.1029/2020JB019856
- 3D Discrete Fracture Network (DFN) models of damage zone fluid corridors within a reservoir-scale normal fault in carbonates: Multiscale approach using field data and UAV imagery L. Smeraglia et al. 10.1016/j.marpetgeo.2021.104902
- Analysis of spatial arrangement of fractures in two dimensions using point process statistics R. Corrêa et al. 10.1016/j.jsg.2022.104726
- Utilization of Fine Soil as Potential Source for Core of Rock-Fill Dam M. Alsaidi & A. Alshezawi 10.4028/p-62ed0n
- Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections W. Hou et al. 10.1029/2021EA001801
- Fault system dynamics and their impact on ordovician carbonate karst reservoirs: Outcrop analogs and 3D seismic analysis in the Tabei region, Tarim Basin, NW China F. Li et al. 10.1016/j.marpetgeo.2024.106923
- Constraining uncertainty of fault orientation using a combinatorial algorithm M. Michalak et al. 10.1016/j.cageo.2021.104777
- Neural network–based prediction methods for height of water-flowing fractured zone caused by underground coal mining S. Dai et al. 10.1007/s12517-020-05505-5
- RETRACTED ARTICLE: Research on prediction model and numerical simulation of reservoir rock mechanical parameters based on remote sensing images B. Liu et al. 10.1007/s12517-021-07205-0
- An Advanced Discrete Fracture Methodology for Fast, Robust, and Accurate Simulation of Energy Production From Complex Fracture Networks S. de Hoop et al. 10.1029/2021WR030743
- Investigating Fracture Network Creation and Stimulation Mechanism of Egs Reservoirs A. Abe & R. Horne 10.2139/ssrn.4109959
- Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. 10.5194/gmd-15-1477-2022
- From outcrop scanlines to discrete fracture networks, an integrative workflow B. Lepillier et al. 10.1016/j.jsg.2020.103992
- Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics R. Prabhakaran et al. 10.5194/se-12-2159-2021
- Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin S. Agar et al. 10.35767/gscpgbull.67.3.141
- An automated fracture trace detection technique using the complex shearlet transform R. Prabhakaran et al. 10.5194/se-10-2137-2019
- A fracture flow permeability and stress dependency simulation applied to multi-reservoirs, multi-production scenarios analysis B. Lepillier et al. 10.1186/s40517-019-0141-8
- Stochastic fracture simulation using pixel-based multiple-point geostatistics by integrating seismic radial anisotropy and well data: applications in two hydrology sites S. Chatterjee et al. 10.1007/s12665-020-09258-y
- Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops R. Prabhakaran et al. 10.1016/j.jsg.2021.104405
- Investigating fracture network creation and stimulation mechanism of EGS reservoirs A. Abe & R. Horne 10.1016/j.geothermics.2022.102606
- RETRACTED ARTICLE: Coastal atmospheric climate and political teaching of sustainable development based on GIS J. Qin 10.1007/s12517-021-07460-1
- Structural Architecture and Permeability Patterns of Crystalline Reservoir Rocks in the Northern Upper Rhine Graben: Insights from Surface Analogues of the Odenwald C. Bossennec et al. 10.3390/en15041310
- Fracture distribution along open folds in southern Tunisia: implications for naturally fractured reservoirs R. Smith et al. 10.1144/petgeo2023-039
24 citations as recorded by crossref.
- FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance P. Namongo Soro et al. 10.1016/j.cageo.2024.105656
- Variational Phase‐Field Modeling of Hydraulic Fracture Interaction With Natural Fractures and Application to Enhanced Geothermal Systems B. Lepillier et al. 10.1029/2020JB019856
- 3D Discrete Fracture Network (DFN) models of damage zone fluid corridors within a reservoir-scale normal fault in carbonates: Multiscale approach using field data and UAV imagery L. Smeraglia et al. 10.1016/j.marpetgeo.2021.104902
- Analysis of spatial arrangement of fractures in two dimensions using point process statistics R. Corrêa et al. 10.1016/j.jsg.2022.104726
- Utilization of Fine Soil as Potential Source for Core of Rock-Fill Dam M. Alsaidi & A. Alshezawi 10.4028/p-62ed0n
- Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections W. Hou et al. 10.1029/2021EA001801
- Fault system dynamics and their impact on ordovician carbonate karst reservoirs: Outcrop analogs and 3D seismic analysis in the Tabei region, Tarim Basin, NW China F. Li et al. 10.1016/j.marpetgeo.2024.106923
- Constraining uncertainty of fault orientation using a combinatorial algorithm M. Michalak et al. 10.1016/j.cageo.2021.104777
- Neural network–based prediction methods for height of water-flowing fractured zone caused by underground coal mining S. Dai et al. 10.1007/s12517-020-05505-5
- RETRACTED ARTICLE: Research on prediction model and numerical simulation of reservoir rock mechanical parameters based on remote sensing images B. Liu et al. 10.1007/s12517-021-07205-0
- An Advanced Discrete Fracture Methodology for Fast, Robust, and Accurate Simulation of Energy Production From Complex Fracture Networks S. de Hoop et al. 10.1029/2021WR030743
- Investigating Fracture Network Creation and Stimulation Mechanism of Egs Reservoirs A. Abe & R. Horne 10.2139/ssrn.4109959
- Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. 10.5194/gmd-15-1477-2022
- From outcrop scanlines to discrete fracture networks, an integrative workflow B. Lepillier et al. 10.1016/j.jsg.2020.103992
- Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics R. Prabhakaran et al. 10.5194/se-12-2159-2021
- Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin S. Agar et al. 10.35767/gscpgbull.67.3.141
- An automated fracture trace detection technique using the complex shearlet transform R. Prabhakaran et al. 10.5194/se-10-2137-2019
- A fracture flow permeability and stress dependency simulation applied to multi-reservoirs, multi-production scenarios analysis B. Lepillier et al. 10.1186/s40517-019-0141-8
- Stochastic fracture simulation using pixel-based multiple-point geostatistics by integrating seismic radial anisotropy and well data: applications in two hydrology sites S. Chatterjee et al. 10.1007/s12665-020-09258-y
- Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops R. Prabhakaran et al. 10.1016/j.jsg.2021.104405
- Investigating fracture network creation and stimulation mechanism of EGS reservoirs A. Abe & R. Horne 10.1016/j.geothermics.2022.102606
- RETRACTED ARTICLE: Coastal atmospheric climate and political teaching of sustainable development based on GIS J. Qin 10.1007/s12517-021-07460-1
- Structural Architecture and Permeability Patterns of Crystalline Reservoir Rocks in the Northern Upper Rhine Graben: Insights from Surface Analogues of the Odenwald C. Bossennec et al. 10.3390/en15041310
- Fracture distribution along open folds in southern Tunisia: implications for naturally fractured reservoirs R. Smith et al. 10.1144/petgeo2023-039
Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
Natural fractures influence fluid flow in subsurface reservoirs. Our research presents a new methodology to predict the arrangement of these fractures in rocks. Contrary to the commonly used statistical models, our approach integrates more geology into the simulation process. The method is simply based on the drawing of images, can be applied to any type of rocks in various geological contexts, and is suited for fracture network prediction in water, geothermal, or hydrocarbon reservoirs.
Natural fractures influence fluid flow in subsurface reservoirs. Our research presents a new...
