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 articles
Agar, S. M. and Geiger, S.: Fundamental controls on fluid flow in
carbonates: current workflows to emerging technologies, Geological Society,
London, Special Publications, 406, 60, https://doi.org/10.1144/SP406.18, 2015.
Angelim, L. A. A., Medeiros, V. C., and Nesi, J. R.: Mapa geológico do
Estado do Rio Grande do Norte, CPRM/FAPERN, Recife, Projeto Geologia e
Recursos Minerais do Estado do Rio Grande do Norte, 2006.
Bemis, S. P., Micklethwaite, S., Turner, D., James, M. R., Akciz, S.,
Thiele, S. T., and Bangash, H. A.: Ground-based and UAV-Based
photogrammetry: A multi-scale, high-resolution mapping tool for structural
geology and paleoseismology, J. Struct. Geol., 69, 163–178,
2014.
Berkowitz, B.: Characterizing flow and transport in fractured geological
media: A review, Adv. Water Resour., 25, 861–884, 2002.
Bertotti, G., de Graaf, S., Bisdom, K., Oskam, B., Vonhof, H. B., Bezerra,
F. H. R., Reijmer, J. J. G., and Cazarin, C. L.: Fracturing and fluid-flow
during post-rift subsidence in carbonates of the Jandaira Formation, Potiguar
Basin, NE Brazil, Basin Res., 29, 18, https://doi.org/10.1111/bre.12246, 2017.
Bisdom, K.: Burial-related fracturing in sub-horizontal and folded
reservoirs – Geometry, geomechanics and impact on permeability, Doctorate,
Technische Universiteit Delft, 2016.
Bisdom, K., Gauthier, B. D. M., Bertotti, G., and Hardebol, N. J.:
Calibrating discrete fracture-network models with a carbonate
three-dimensional outcrop fracture network: Implications for naturally
fractured reservoir modeling, AAPG Bull., 98, 1351–1376, 2014.
Bisdom, K., Nick, H. M., and Bertotti, G.: An integrated workflow for stress
and flow modelling using outcrop-derived discrete fracture networks,
Comput. Geosci., 103, 21–35, 2017a.
Bisdom, K., Bertotti, G., Bezerra, H., Van Eijk, M., Van der Voet, E., and Reijmer,
J.:
Deterministic fracture network models from the Potiguar basin, Brazil,
https://doi.org/10.4121/uuid:988152da-3ac3-44cb-9d87-c7365e3707b6,
2017b.
Bruna, P.-O., Guglielmi, Y., Viseur, S., Lamarche, J., and Bildstein, O.:
Coupling fracture facies with in-situ permeability measurements to generate
stochastic simulations of tight carbonate aquifer properties: Example from
the Lower Cretaceous aquifer, Northern Provence, SE France, J.
Hydrol., 529, 737–753, 2015.
Bruna, P.-O., Hardebol, N., Bisdom, K., Straubhaar, J., Mariethoz, G., and
Bertotti, G.: 2-D to 3-D fracture network detection and forecasting in a
carbonate reservoir analogue using Multiple Point Statistics (MPS), ExCEL
London, 2017.
Bruna, P.-O., Prabhakaran, R., Bertotti, G., Mittempergher, S., Succo, A.,
Bistacchi, A., Storti, F., and Meda, M.: Multiscale 3-D prediction of
fracture network geometry and fluid flow efficiency in folded carbonate
reservoir analogues; Case study of the Island of Pag (Croatia), Muscat,
Oman, 5–7 February 2018.
Chopra, S. and Marfurt, K. J.: Volumetric curvature attributes for
fault/fracture characterization, First Break, 25, 35–46, 2007.
Chugunova, T., Corpel, V., and Gomez, J.-P.: Explicit fracture network
modelling: from multiple point statistics to dynamic simulation,
Math. Geosci., 49, 541–553, 2017.
Chugunova, T. L. and Hu, L. Y.: Multiple-Point Simulations Constrained by
Continuous Auxiliary Data, Math. Geosci., 40, 133–146, 2008.
Claes, H., Degros, M., Soete, J., Claes, S., Kele, S., Mindszenty, A.,
Török, Á., El Desouky, H., Vanhaecke, F., and Swennen, R.:
Geobody architecture, genesis and petrophysical characteristics of the
Budakalász travertines, Buda Hills (Hungary), Quatern. Int.,
437, 107–128, 2017.
Corradetti, A., Tavani, S., Parente, M., Iannace, A., Vinci, F., Pirmez, C.,
Torrieri, S., Giorgioni, M., Pignalosa, A., and Mazzoli, S.: Distribution
and arrest of vertical through-going joints in a seismic-scale carbonate
platform exposure (Sorrento peninsula, Italy): insights from integrating
field survey and digital outcrop model, J. Struct. Geol., 121–136, https://doi.org/10.1016/j.jsg.2017.09.009, 2017a.
Corradetti, A., Tavani, S., Russo, M., Arbues, P. C., and Granado, P.:
Quantitative analysisi of folds by means of orthorectified photogrammetric
3-D models: A case study from Mt. Catria, Northern Apennines, Italy,
Photogramm. Rec., 32, 480–496, https://doi.org/10.1111/phor.12212, 2017b.
Costa de Melo, A. C., de Castro, D. L., Bezerra, F. H. R., and Bertotti, G.:
Rift fault geometry and evolution in the Cretaceous Potiguar Basin (NE
Brazil) based on fault growth models, J. South Am. Earth
Sci., 71, 96–107, 2016.
de Brito Neves, B. B., Fuck, R. A., Cordani, U. G., and Thomaz F. A.: Influence of basement structures on the evolution of the major
sedimentary basins of Brazil: A case of tectonic heritage, J.
Geodynam., 1, 495–510, 1984.
Dershowitz, W. S. and Herda, H.: Interpretation of Fracture Spacing and
Intensity, Balkema, ISBN 9054100451,
757–766, 1992.
Deutsch, C. V. and Journel, A. G.: GSLIB: Geostatistical software library
and user's guide, New York, 1997.
Gringarten, E. and Deutsch, C. V.: Methodology for Variogram Interpretation
and Modeling for Improved Reservoir Characterization, SPE Annual Technical
Conference and Exhibition, Texas, Houston, 3–6 Ocober 1999.
Gringarten, E. and Deutsch, C. V.: Teacher's Aide Variogram Interpretation
and modeling, Math. Geol., 33, 507–534, 2001.
Hanke, J. R., Fischer, M. P., and Pollyea, R. M.: Directional semivariogram
analysis to identify and rank controls on the spatial variability of
fracture networks, J. Struct. Geol., 108, 34–51, 2018.
Hooker, J. N. and Katz, R. F.: Vein spacing in extending, layered rock: The
effect of synkinematic cementation, Am. J. Sci., 315, 557–588,
https://doi.org/10.2475/06.2015.03,
2015.
Hooker, J. N., Laubach, S. E., and Marrett, R.: Fracture-aperture
size–frequency, spatial distribution, and growth processes in
strata-bounded and non-strata-bounded fractures, Cambrian Mesón Group,
NW Argentina, J. Struct. Geol., 54, 54–71, 2013.
Huang, N., Jiang, Y., Liu, R., and Li, B.: Estimation of permeability of 3-D
discrete fracture networks: An alternative possibility based on trace map
analysis, Eng. Geol., 226, 12–19, 2017.
Journel, A. and Zhang, T.: The Necessity of a Multiple-Point Prior Model,
Math. Geol., 38, 591–610, 2006.
Journel, A. G.: Beyond Covariance: The Advent of Multiple-Point
Geostatistics, in: Geostatistics Banff 2004, edited by: Leuangthong, O. and Deutsch, C.
V., Springer Netherlands, Dordrecht, 2005.
Jung, A., Fenwick, D. H., and Caers, J.: Training image-based scenario
modeling of fractured reservoirs for flow uncertainty quantification,
Computat. Geosci., 17, 1015–1031, 2013.
Karimpouli, S., Tahmasebi, P., Ramandi, H. L., Mostaghimi, P., and
Saadatfar, M.: Stochastic modeling of coal fracture network by direct use of
micro-computed tomography images, Int. J. Coal Geol.,
179, 153–163, 2017.
Kovesi, P.: MATLAB and Octave Functions for Computer Vision and Image
Processing, available at: https://www.peterkovesi.com/matlabfns/
(last access: 16 April 2019), 2000.
Lamarche, J., Lavenu, A. P. C., Gauthier, B. D. M., Guglielmi, Y., and
Jayet, O.: Relationships between fracture patterns, geodynamics and
mechanical stratigraphy in Carbonates (South-East Basin, France),
Tectonophysics, 581, 231–245, 2012.
Lamarche, J., Chabani, A., and Gauthier, B. D. M.: Dimensional threshold for
fracture linkage and hooking, J. Struct. Geol., 108, 171–179, https://doi.org/10.1016/j.jsg.2017.11.016, 2017.
Laubach, S. E., Olson, J. E., and Gross, M. R.: Mechanical and fracture
stratigraphy, AAPG Bull., 93, 1413–1426, 2009.
Laubach, S. E., Lamarche, J., Gauthier, B. D. M., Dunne, W. M., and
Sanderson, D. J.: Spatial arrangement of faults and opening-mode fractures,
J. Struct. Geol., 108, 2–15, 2018.
Lavenu, A. P. C., Lamarche, J., Gallois, A., and Gauthier, B. D. M.:
Tectonic versus diagenetic origin of fractures in a naturally fractured
carbonate reservoir analog (Nerthe anticline, southeastern France), AAPG
Bull., 97, 2207–2232, 2013.
Li, J. Z., Laubach, S. E., Gale, J. F. W., and Marrett, R. A.: Quantifying
opening-mode fracture spatial organization in horizontal wellbore image
logs, core and outcrop: Application to Upper Cretaceous Frontier Formation
tight gas sandstones, USA, J. Struct. Geol., 108, 137–156,
2018.
Liu, X., Srinivasan, S., and Wong, D.: Geological characterization of
naturally fractured reservoirs using multiple point geostatistics,
https://doi.org/10.2118/75246-MS,
SPE/DOE Improved Oil Recovery Symposium, 13–17 April, Tulsa, Oklahoma, 2002.
Liu, X., Zhang, C., Liu, Q., and Birkholzer, J.: Multiple-point statistical
prediction on fracture networks at Yucca Mountain, Environ. Geol.,
57, 1361–1370, 2009.
Lloyd, S. P.: Least Squares Quantization in PCM, IEEE T. Inform. Theory, 28, 129–137, 1982.
Long, J. C. S. and Witherspoon, P. A.: The relationship of the degree of
interconnection to permeability in fracture networks, J. Geophys.
Res., 90, 12, https://doi.org/10.1029/JB090iB04p03087, 1985.
Magistroni, C., Meda, M., and Corrao, A.: Faults and fracture network
prediction: stress/strain modelling from outcrop analysis to seismic
characterisation, Abu Dhabi, UAE, 10–13 November 2014.
Mariethoz, G.: Geological stochastic imaging for aquifer characterization,
Doctorate, Faculté des Sciences, Université de Neuchâtel, 229
pp., 2009.
Mariethoz, G., Renard, P., and Straubhaar, J.: The Direct Sampling method to
perform multiplepoint geostatistical simulations, Water Resour. Res.,
46, https://doi.org/10.1029/2008WR007621, 2010.
Marrett, R., Gale, J. F. W., Gómez, L. A., and Laubach, S. E.:
Correlation analysis of fracture arrangement in space, J. Struct.
Geol., 108, 16–33, 2018.
Mauldon, M., Dunne, W. M., and Rohrbaugh, M. B. J.: Circular scanlines and
circular windows: new tools for characterizing the geometry of fracture
traces, J. Struct. Geol., 23, 12, https://doi.org/10.1016/S0191-8141(00)00094-8, 2001.
Meerschman, E., Pirot, G., Mariethoz, G., Straubhaar, J., Van Meirvenne, M.,
and Renard, P.: A practical guide to performing multiple-point statistical
simulations with the Direct Sampling algorithm, Comput. Geosci.,
52, 307–324, 2013.
Montanari, D., Minissale, A., Doveri, M., Gola, G., Trumpy, E., Santilano,
A., and Manzella, A.: Geothermal resources within carbonate reservoirs in
western Sicily (Italy): A review, Earth-Sci. Rev., 169, 180–201, 2017.
National Research Council: Rock Fractures and Fluid Flow: Contemporary Understanding
and Applications, The National Academies Press, Washington, DC, 1996.
Olson, J. E., Laubach, S. E., and Lander, R. H.: Natural fracture
characterization in tight gas sandstones: Integrating mechanics and
diagenesis, AAPG Bull., 93, 1535–1549, 2009.
Oriani, F., Ohana-Levi, N., Marra, F., Straubhaar, J., Mariethoz, G.,
Renard, P., Karnieli, A., and Morin, E.: Simulating Small-Scale Rainfall
Fields Conditioned by Weather State and Elevation: A Data-Driven Approach
Based on Rainfall Radar Images, Water Resour. Res., 53, 8512–8532,
2017.
Otsu, N.: A Threshold Selection Method from Gray-Level Histograms, IEEE
T. Syst. Man Cyb., 9, 62–66, 1979.
Panza, E., Sessa, E., Agosta, F., and Giorgioni, M.: Discrete Fracture
Network modelling of a hydrocarbon-bearing, oblique-slip fault zone:
Inferences on fault-controlled fluid storage and migration properties of
carbonate fault damage zones, Mar. Petrol. Geol., 89,
263–279, 2018.
Reis, Á. F. C., Bezerra, F. H. R., Ferreira, J. M., do Nascimento, A.
F., and Lima, C. C.: Stress magnitude and orientation in the Potiguar Basin,
Brazil: Implications on faulting style and reactivation, J.
Geophys. Res.-Sol. Ea., 118, 5550–5563, 2013.
Rzonca, B.: Carbonate aquifers with hydraulically non-active matrix: A case
study from Poland, J. Hydrol., 355, 202–213, 2008.
Solano, N., Zambrano, L., and Aguilera, R.: Cumulative Gas Production
Distribution on the Nikanassin Tight Gas Formation, Alberta and British
Columbia, Canada, Trinidad and Tobago Energy Resources Conference, Port of
Spain, Trinidad, Paper SPE-132923-MS, Conference, 27–30 June, Port of Spain Trinidad, 2010.
Somasundaram, S., Mund, B., Soni, R., and Sharda, R.: Seismic attribute
analysis for fracture detection and porosity prediction: A case study from
tight volcanic reservoirs, Barmer Basin, India, The Leading Edge, 36, 874–960,
https://doi.org/10.1190/tle36110947b1.1,
2017.
Straubhaar, J.: Deesse user's guide, The Centre for Hydrogeology and
Geothermics (CHYN), edited by: University of Neuchatel, Neuchâtel, Switzerland, 2017.
Straubhaar, J., Renard, P., Mariethoz, G., Froidevaux, R., and Besson, O.:
An improved parallel multiple-point algorithm using a list approac,
Math. Geosci., 43, 305–328, https://doi.org/10.1007/s11004-011-9328-7,
2011.
Strebelle, S.: Conditional Simulation of Complex Geological Structures Using
Multiple-Point Statistics, Math. Geol., 34, 1–21, 2002.
Tavani, S., Corradetti, A., and Billi, A.: High precision analysis of an
embryonic extensional fault-related fold using 3-D orthorectified virtual
outcrops: The viewpoint importance in structural geology, J.
Struct. Geol., 86, 200–210, 2016.
Vollgger, S. A. and Cruden, A. R.: Mapping folds and fractures in basement
and cover rocks using UAV photogrammetry, Cape Liptrap and Cape Paterson,
Victoria, Australia, J. Struct. Geol., 85, 168–187, 2016.
Wang, S., Huang, Z., Wu, Y.-S., Winterfeld, P. H., and Zerpa, L. E.: A
semi-analytical correlation of thermal-hydraulic-mechanical behavior of
fractures and its application to modeling reservoir scale cold water
injection problems in enhanced geothermal reservoirs, Geothermics, 64,
81–95, 2016.
Wu, J., Boucher, A., and Zhang, T.: A SGeMS code for pattern simulation of
continuous and categorical variables: FILTERSIM, Comput. Geosci.,
34, 1863–1876, 2008.
Zhang, L., Kang, Q., Chen, L., and Yao, J.: Simulation of flow in multi-scale
porous media using the lattice boltzmann method on quadtree grids,
Commun. Comput.Phys., 19, 998–1014, 2016.
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...
