An Irregular Lattice Pore Network Model Construction Algorithm

نویسندگان

  • Saeid Jamshidi Faculty of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, I.R. IRAN
  • Sayed Mohmoud Reza Pishvaie Faculty of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, I.R. IRAN
چکیده مقاله:

Pore network modeling uses a network of pores connected by throats to model the void space of a porous medium and tries to predict its various characteristics during multiphase flow of various fluids. In most cases, a non-realistic regular lattice of pores is used to model the characteristics of a porous medium. Although some methodologies for extracting geologically realistic irregular networks from pore space images have been presented, these methods require some experimental data which are either unavailable or costly to obtain. 3-dimensional image or 2-dimensional SEM images are among these types of data. In this paper a new irregular lattice algorithm for the construction of these models is proposed. Furthermore, based on some statistical and analytical studies, a fast and reliable procedure is suggested to find the optimum system parameters which may lead to the construction of the smallest cubic irregular pore network model that can be a representative of the target porous medium. The performance of the proposed method has been studied through the construction of an irregular lattice model representing a core plug based on its available experimental data. This study shows that the obtained model can reliably predict the network construction parameters.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

an irregular lattice pore network model construction algorithm

pore network modeling uses a network of pores connected by throats to model the void space of a porous medium and tries to predict its various characteristics during multiphase flow of various fluids. in most cases, a non-realistic regular lattice of pores is used to model the characteristics of a porous medium. although some methodologies for extracting geologically realistic irregular network...

متن کامل

Irregular lattice model for quasistatic crack propagation

An irregular lattice model is proposed for simulating quasistatic fracture in softening materials. Lattice elements are defined on the edges of a Delaunay tessellation of the medium. The dual sVoronoid tessellation is used to scale the elemental stiffness terms in a manner that renders the lattice elastically homogeneous. This property enables the accurate modeling of heterogeneity, as demonstr...

متن کامل

Construction of Irregular LDPC Code Using ACE Algorithm

The Low Density Parity Check (LDPC) codes have been widely acclaimed in recent years for their nearcapacity performance, they have not found their way into many important applications. For some cases, this is due to their increased decoding complexity relative to the classical coding techniques. For other cases, this is due to their inability to reach very low bit error rates at low signal-to-n...

متن کامل

An Efficient Extension of Network Simplex Algorithm

In this paper, an efficient extension of network simplex algorithm is presented. In static scheduling problem, where there is no change in situation, the challenge is that the large problems can be solved in a short time. In this paper, the Static Scheduling problem of Automated Guided Vehicles in container terminal is solved by Network Simplex Algorithm (NSA) and NSA+, which extended the stand...

متن کامل

Triangulated Irregular Network Model from Mass Points

Digital Terrain Modeling, the Triangulated Irregular Network (TIN) is a representation of a surface derived from irregularly spaced sample points and break line features. Paper deals with the basic concept of Delauney’s triangulation method with its practical approach in ArcGIS. The next section describes the process to convert mass points to TIN model and explores some of the basics of TIN Mod...

متن کامل

An Incremental Neural Network Construction Algorithm for Training Multilayer Perceptrons

The problem of determining the architecture of a multilayer perceptron together with the disadvantages of the standard backpropagation algorithm, directed the research towards algorithms that determine not only the weights but also the structure of the network necessary for learning the data. We propose a Constructive Algorithm with Multiple Operators using Statistical Test (MOST) for determini...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 29  شماره 1

صفحات  61- 70

تاریخ انتشار 2010-03-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023