... reservoir, the pore and micro fracture structure information of shale is obtained by BP neural network segmentation method. In this paper, the refined three-dimensional digital core of shale with fracture matrix pore dual medium is reconstructed by using the improved four parameter growth method and two...

... Abstract Hamra Quartzite is considered a potential reservoir in the area. 3D seismic data, seismic attributes, well logs, and borehole imagery data are combined in a specific workflow to determine the type of fractures, their distribution, and their relationship with the petrophysical...

... Abstract The evaluation of fluid flow through fractured media is essential for many applications. In hard rocks, fluid flow depends on fracture aperture and connectivity, as fractures are the preferential flow paths within the rock mass. Previous research studied fluid flow, using Discrete...

... Abstract A new method for conditioning DFN models to field data such as outcrops, tunnel traces and borehole fracture logs is presented. The method generates DFNs that honor local observations whilst maintaining the specified fracture size and intensity statistics. This conditioning workflow...

... survey, and pressure data, except for flow into and through the igneous basement, and additional model permeability was required to achieve good history match. Image logs acquired through the top of the basement indicate that it is highly fractured. A discrete fracture network model was constrained...

... Abstract This study details characterization and Discrete Fracture Network (DFN) modeling of a naturally fractured carbonate reservoir with natural fractures and karst, or “non-matrix,” that are essential to production. Characterization of non-matrix follows a workflow where non-matrix...

... Abstract Traditional discrete fracture models implementing matrix diffusion can be computationally expensive and only applicable to simplified transport problems. Upscaling to a continuum model can reduce computational burden, but models based on only a primary continuum neglect fracture...

... Abstract One of the important requirements of foundation rock mass under dam is resistance to leakage of water. The mechanism of water leakage depends on the hydraulic properties of rock mass. When considering water leakage in fracture-dominant rock mass, the pathway of the flow is controlled...

... Abstract There is a need to develop computationally efficient models for oil and gas production from naturally fractured reservoirs. In this paper, we present an efficient fracturing-production simulator by combining a boundary element method (for fracture propagation) and a Green’s function...

... Abstract A slope stability analyses utilizing LiDAR, photogrammetry, and Discrete Fracture Network (DFN) modelling has been conducted in a former chalk quarry in Kent, United Kingdom. Chalk cliffs excavated decades ago are a remnant of the quarrying process, and gradual rehabilitation...

... Abstract Anisotropy may be observed in rock masses that contain fractures and affects several properties including flow behavior which is controlled by how fractures are clustered in space. While Rose diagrams are often used for delineating "fracture sets" in different directions...

... Abstract The most critical issue of the hydro-DFN-model is that only a subset of geologic fractures contribute to the groundwater flow. The authors deem that this is caused by the multiple episodes of sealing and reactivation (re-opening) of fractures. As the result of multiple episodes...

... 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...

... Abstract Connectivity estimated by simply considering the relative number of nodes in fracture networks, i.e., cross-cutting (X), abutting (Y), and isolated (I), without regard to their spatial distributions, is often not a unique identifier of fracture geometry. This research proposes...

... Abstract This paper focuses on the understanding of the controlling factors of breakthrough curves in fractured systems. DFN.lab is used to define DFN models derived from the characteristics of a sub-part of the Forsmark repository and to perform simulations of flow and of inert transport...

... of both volumetric meshes (continuous porous media) and discrete fracture networks (fractured media), or hybrid meshes in which separate parts of the domain are represented as different media. Here, we present near-field THMC simulations enabled by new meshing workflows for generating unstructured CPM...

... Abstract In this work, dfnWorks simulation tool is used to track the efficiency of hydraulic fracture stages across a hypothetical multi-stage hydraulic fracture well connected to a natural fracture network under low porosity and permeability typical of unconventional shale reservoirs...

... Abstract Hydraulic fracturing technology has been wildly used in shale oil exploitation. The unconventional characteristics of shale reservoir, including the development of natural fractures and rigid interlayers, make it difficult to form effective fracture networks. It is of great importance...

... to investigate kinematically feasible sliding mechanisms beneath the dam spillway and abutments. This package of work included creation of a discrete fracture network model. The DFN modelling in this study was undertaken in two stages, with an initial model built to be representative of sub-horizontal fractures...

... Abstract Fracture spacing is commonly assumed to follow a Poisson distribution in discrete fracture network (DFN) studies. As a result, non-Poisson distributions used to describe fracture clustering are rarely considered in generating synthetic DFNs. Field observations and numerical...