نتایج جستجو برای: thin section image

تعداد نتایج: 644869  

An accurate reservoir characterization is a crucial task for the development of quantitative geological models and reservoir simulation. In the present research work, a novel view is presented on the reservoir characterization using the advantages of thin section image analysis and intelligent classification algorithms. The proposed methodology comprises three main steps. First, four classes of...

Journal: :نشریه دانشکده فنی 0
سیّد رسول میرقادری سیّد محمّد سعید سبحان

thin-walled hollow steel columns, either circular or box shaped, are commonly used as piers in bridges. recent earthquakes, e.g. hyogoken-nanbu or kobe 1995, on the other hand have shown that these columns are vulnerable to damage when subjected to earthquake loading. this paper presents a new innovative thin-walled hollow steel column fabricated of corrugated plates, “thin-walled steel columns...

Journal: :Mathematics 2022

Experimental studies were carried out to analyze the impact of optimizers and learning rate on performance deep learning-based algorithms for rock thin-section image classification. A total 2634 images including three types—metamorphic, sedimentary, volcanic rocks—were acquired from an online open-source science data bank. Four CNNs using different optimizer (Adam, SGD, RMSprop) under two learn...

2017
N. D. Nurgalieva

In present paper we used program Cluster Image which was created in Java to process thin section image of carbonate rock to estimate its porosity on image of any format and with a strong color contrast between the mineral part and pores in thin sections under polarized light. For the experiment the images of thin sections of carbonate rocks of the Carboniferous age were used. Cluster Image does...

Journal: :Journal of electron microscopy 1996
N Baba N Ichise T Tanaka

The statistical method in texture image analysis was applied to area extraction of biological objects from thin section electron microscope images. Four standard estimators defined from the gray level co-occurrence matrix, called 'inverse difference moment,' 'angular second moment,' 'entropy' and 'contrast,' were especially examined using a test pattern consisting of 6 artificial textures and t...

Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

2014
Chandra L. Reedy Jenifer Anderson Terry J. Reedy Yimeng Liu

Thin-section petrography is a crucial tool for the study of archaeological ceramics, and in recent years, image analysis has emerged as a powerful quantitative enhancement of that tool. Exploratory applications of image analysis to archaeological ceramic thin sections, and related work by sedimentary geologists, have indicated its usefulness to the field. In this paper, we first present the res...

M. Salimi and H. Khademizadeh,

In this paper, collapse behavior of simple and reinforced thin-walled channel- section beams, subjected to three- point bending, is investigated. Many simple channel- section beams of different geometry and some reinforced ones were tested, and their strengths after collapse were obtained thoroughly. Since the available theories in this area are complicated and little attention has been paid to...

M. Salimi and H. Khademizadeh,

In this paper, collapse behavior of simple and reinforced thin-walled channel- section beams, subjected to three- point bending, is investigated. Many simple channel- section beams of different geometry and some reinforced ones were tested, and their strengths after collapse were obtained thoroughly. Since the available theories in this area are complicated and little attention has been paid to...

Journal: :The Journal of the Japanese Association of Mineralogists, Petrologists and Economic Geologists 1943

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