A forward model of three-dimensional fracture orientation and characteristics

Date

2000-07-10

Author

Tuncay, Kağan
Ortoleva, P

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

167
views

0
downloads

A new forward modeling approach to simulate the extension/closure and orientation statistics of evolving fracture networks is presented. The model is fully dynamical and couples fracturing to other processes. Thus, fracturing affects hydrology and, in turn, its development is affected by fluid pressure, in this way, highly pressured fluids can enhance their own migration while low-pressured ones may become trapped. Fracturing affects the stress tensor through rock volumetric changes and stress affects fracture dynamics. Thus, to predict fracture dynamics, we coevolve a set of fracture variables simultaneously with mass, momentum, and energy conservation equations for the solid and multiple fluid phases. In our computational approach, a representative set of putative fractures of a range of orientations is introduced. The time-dependent properties of each realized fracture is calculated by using the stress component normal to its fracture plane, pressure, and rock properties. The volumetric strain caused by fracturing allows for a self-limiting feedback that we account for using a nonlinear incremental stress rheology. The anisotropic fracture permeability is obtained using the predicted fracture network statistics. Thus, the coupling between rock deformation, notably fracturing, and hydrology is accounted for as is that between fracturing and stress. The statistical aspect of fracture network dynamics is described by assuming a probability distribution characterizing variations in rock strength within a nominally uniform lithology. The dependence of fracture density and length on the rate of fluid pressure or stress variation is thereby captured. Embedding the model in a three-dimensional basin finite element simulator, we illustrate the dynamical nature of the location and character of fracture zones in a sedimentary basin.

Subject Keywords

Earth-Surface Processes, Ecology, Earth and Planetary Sciences (miscellaneous), Space and Planetary Science, Palaeontology, Forestry, Aquatic Science, Atmospheric Science, Soil Science, Geochemistry and Petrology, Geophysics, Oceanography, Water Science and Technology

URI

https://hdl.handle.net/11511/36321

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

DOI

https://doi.org/10.1029/1999jb900443

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Modeling the response of top-down control exerted by gelatinous carnivores on the Black Sea pelagic food web Oguz, T; Ducklow, HW; Purcell, JE; Malanotte-Rizzoli, P (American Geophysical Union (AGU), 2001-03-15) Recent changes in structure and functioning of the interior Black Sea ecosystem are studied by a series of simulations using a one-dimensional, vertically resolved, coupled physical-biochemical model. The simulations are intended to provide a better understanding of how the pelagic food web structure responds to increasing grazing pressure by gelatinous carnivores (medusae Aurelia aurita and ctenophore Mnemiopsis leidyi) during the past 2 decades. The model is first shown to represent typical eutrophic ecos...
A temporal neural network model for constructing connectionist expert system knowledge bases Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01) This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
A new data-adaptive network design methodology based on the k-means clustering and modified ISODATA algorithm for regional gravity field modeling via spherical radial basis functions Uluğ, Raşit; Karslıoğlu, Mahmut Onur (2022-11-01) In this study, a new data-adaptive network design methodology called k-SRBF is presented for the spherical radial basis functions (SRBFs) in regional gravity field modeling. In this methodology, the cluster centers (centroids) obtained by the k-means clustering algorithm are post-processed to construct a network of SRBFs by replacing the centroids with the SRBFs. The post-processing procedure is inspired by the heuristic method, Iterative Self-Organizing Data Analysis Technique (ISODATA), which splits clust...
A new neural network approach to the target tracking problem with smart structure Caylar, Selcuk; Leblebicioğlu, Mehmet Kemal; Dural, Guelbin (American Geophysical Union (AGU), 2006-10-03) [1] A modified neural network - based algorithm ( modified neural multiple-source tracking algorithm (MN-MUST)) is proposed for real-time multiple-source tracking problem. The proposed approach reduced the input size of the neural network without any degradation of the accuracy of the system for uncorrelated sources. In addition, a spatial filtering stage that considerably improves the performance of the system is proposed to be inserted. It is observed that the MN-MUST algorithm provides an accurate and ef...
A deep learning methodology for the flow field prediction around airfoils Duru, Cihat; Baran, Özgür Uğraş; Alemdar, Hande; Department of Mechanical Engineering (2021-9-07) This study aims to predict flow fields around airfoils using a deep learning methodology based on an encoder-decoder convolutional neural network. Neural network training and evaluation are performed from a set of computational fluid dynamics (CFD) solutions of the 2-D flow field around a group of known airfoils at a wide range of angles of attack. Reynolds averaged Navier-Stokes (RANS)-based CFD simulations are performed at a selected Mach number on the transonic regime on high-quality structured computati...

Citation Formats

K. Tuncay and P. Ortoleva, “A forward model of three-dimensional fracture orientation and characteristics,” JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, pp. 16719–16735, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36321.