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Keywords: fracture intensity
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Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0030
... Abstract In this paper, geotechnical and structural data from an open pit mine were used to generate spatially constrained largescale DFN models. Data from geotechnical boreholes were used to develop 3D block models of volumetric fracture intensity (P 32 ), using a geostatistical simulation...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0010
...) permeability. Generally, for dense and unfractured rocks, the permeability is very low. The presence of fractures can increase the permeability by several orders of magnitude (Singhal and Gupta, 2010). In heterogeneous fractured rock, permeability depends on fracture intensity, aperture and connectivity (Blyth...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0087
.... The evaluation of the influence of hydraulic fractures on the fluid flow trajectories and velocities in a natural fractured reservoir was weighted by the modeled connectivity with the natural fractures (DFN) and by the use of hydraulic fracture stage pressures. Under low natural fracture intensities...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0002
... fracture intensity intercept abutment plane reservoir characterization intensity mapping orientation visualization DFNE 22-02 Development of a 3D geotechnical model and discrete fracture network approach for a review of dam footing stability Weir, F.M., Brehaut, R. and Mostyn, G. PSM, Sydney...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0742
... for generating more geologically-realistic DFNs that can capture complex fracture patterns and match observed field data. equation of state algorithm conditioning algorithm statistics reservoir simulation intersection grid fracture intensity fracture constraint conditioning boundary united...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0047
... of 1.08 were estimated. reservoir simulation reservoir characterization realisation hydraulic fracturing university discontinuity fracture intensity johannesburg udec upstream oil & gas south africa government dfn realisation consultant ferentinou fracture characterization...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0041
... permeability carbonate reservoir asia government machine learning dfn fracture aperture karst fracture permeability history burial karst intensity proportion fracture intensity united states government kazakhstan government aperture type orientation correlation coefficient workflow...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 29–July 1, 2022
Paper Number: ARMA-DFNE-22-0004
... fracture intensity imaging equation of state reservoir characterization tunnel 125 dfn excavation tunnel orientation DFNE 22-04 Discrete fracture network modelling for a shallow cover road tunnel system Weir, F.M. PSM, Sydney, NSW, Australia Watton, J.W. PSM, Perth, WA, Australia Copyright © 2022...
Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 21–25, 2021
Paper Number: ARMA-DFNE-21-2357
.... In 2D fracture networks, the probability of open fractures has the greatest impact on the relative increase of SRV. The fracture intensity and length are positively correlated, whereas fractal dimensions and segment lengths are negatively correlated with the relative increase of SRV. Therefore...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0887
... for integrating geophysical data and fracture intensity is presented, including support for the representation of uncertainty in this data. We demonstrate the algorithms using real data. log analysis GSR metals & mining Upstream Oil & Gas blast design Medhurst Reservoir Characterization...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0114
... of a dataset that is representative of the lineaments typically found in a Canadian Shield environment. This model is used to constrain stochastic representations to observed fracture intensities and orientations. This study considers two- dimensional and three-dimensional length distributions and area...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0215
... ABSTRACT: Fracture driver determinations are mainly focused on the factors which influence fracture intensities. A normalized averaged intensity can have more than one possible fracture spatial organization and hence the importance of combining intensity and cluster analysis to better model...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0299
... of the time and cost involved. Image logs are acquired more frequently and can be obtained from wells of all orientations and over long intervals. After de- biasing and comparing fracture intensities between vertical cores, vertical image logs and inclined/horizontal images there is a noticeable difference...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0285
... as FDMA and FDMB, respectively. Fig. 3. Lineaments in Kinmen island obtained from joint interpretation of gravity and magnetic anomalies. Cumulative fracture intensity (CFI) plots for KMBH01 to KMBH04 are shown in Fig. 5. The abscissa in Fig. 5 represents fracture intensity after Terzaghi correction, P10...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0186
... & mining complex reservoir rock mass discontinuity discontinuity probability density function rock mass FracMan fluid modeling equation of state fracture intensity fracture network cumulative probability density function fractured rock mass intensity trace length discrete fracture network...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-0820
... intensity data is referring to the optical televiewer records for Table-II, we also conducted an alternative analysis using acoustic televiewer records for comparison as uncertainty research in the future. The fracture intensities are represented using the cumulative fracture intensity (CFI) graphs...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-1279
... Upstream Oil & Gas fracture intensity natural fracture network Reservoir Characterization fracture characterization resolution niobrara reservoir input parameter development strategy unconventional reservoir fracture driver fracture network discrete fracture network subsurface fracture...

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