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Identifying and Modeling Research of Structural Fracture

Author: PanXin
Tutor: ZhouLiFa
School: Northwestern University
Course: Mineral prospecting and exploration
Keywords: Tectonic fractures recognition Discrete fracture network models Crack stochastic modeling Ordos Basin Yanchang
CLC: P618.13
Type: Master's thesis
Year: 2010
Downloads: 405
Quote: 0
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Abstract


With the the fractured reservoirs worldwide proven the increasing number of cracks research has become a hot issue for the current field of petroleum geology. While at the same time, due to cracks own unique complexity, and cause it to become a worldwide problem. Set of central and western Ordos Basin the side - Huachi region Triassic Yanchang, for example, the use of a survey and description of the outcrop cracks, fracture observation and description of the drilling cores, wall power, sound imaging logging fracture identification and characterization, conventional multidisciplinary logging cracks, including the identification and evaluation of a variety of techniques in tandem, to carry out the identification of tectonic fractures and qualitative and quantitative description of the study, basically figure out various developmental characteristics of the study area extended group of tectonic fractures, including geological origin types of cracks, mechanical properties, occurrence, size (scale), the density, the width, the nature of the porosity and permeability, and longitudinal developmental patterns. In the use of conventional logging data the tectonic fractures during the study, particularly the introduction of the most mature field of fractal geometry R \\ S analysis (ie, variable scale analysis) technology, the results show that the method can be in the borehole wall imaging logging data and drilling segment or region of the core relative lack of well better determine the degree of development of cracks. Discrete fracture networks (Discrete Fracture Network, DFN) model of fracture randomness modeling is the latest quantitative fracture characterization, including discrete fracture network model is closer to the real state of the underground cracks, and the application of stochastic simulation methods meets the statistical characteristics, but also fully embodies the fracture distribution randomness objective facts known crack information. The paper chose the study area the \The results show that the crack geometry model created through this technology can visually display the characteristics of the development of the underground cracks in three-dimensional space, the fracture parameters calculated based on the model, you can effectively quantitative description of the three-dimensional fracture parameters distribution, in order to better reveal the role of the fractures on reservoir porosity and permeability performance improvement. This three-dimensional quantitative description of the cracks in its parameters provides a new, viable technical means.

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