توسعه ی روش های استخراج شبکه ی منافذ و ارائه الگوریتمی جدید
General Material Designation
[پایاننامه]
Parallel Title Proper
Development of Pores Network Extraction Methods to Create a New Algorithm
First Statement of Responsibility
/محمد اشرفی
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
: مهندسی نفت و گاز
Date of Publication, Distribution, etc.
، ۱۴۰۰
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
۱۳۲ص.
Other Physical Details
:
GENERAL NOTES
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زبان: فارسی
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زبان چکیده: فارسی
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
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چاپی - الکترونیکی
NOTES PERTAINING TO PHYSICAL DESCRIPTION
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مصور، جدول، نمودار
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
دکتری
Discipline of degree
مهندسی نفت- مخازن هیدروکربوری
Date of degree
۱۴۰۰/۱۲/۰۱
Body granting the degree
صنعتی سهند
SUMMARY OR ABSTRACT
Text of Note
استخراج شبکه منافذ از عکسهای میکروسیتیاسکن یکی از قسمت های مهم مدلسازی شبکه منافذ به وسیله تصویربرداری از محیط متخلخل می باشد .دراین تحقیق، روش جدیدی برای استخراج شبکه منافذ ارائه و روی عکسهای میکروسیتیاسکن بیستوسه نمونه سنگ اعمال گردیده و سپس خواص مختلف نمونه ها محاسبه شده است .این نمونه ها شامل انواع مختلفی از عکسهای دوگانه سه بعدی ماسهای، آهکی، کربناته و سندپک می باشند که سایزهای مختلفی دارند .مزیت اصلی روش بهبود یافته امکان در نظر گرفتن اشکال مختلف برای منافذ می باشد .به وسیله شبکه های استخراج شده، تراوایی نمونه ها به دست آمده و با تراوایی های گزارش شده مقایسه گردیده است .همچنین در این پژوهش، پیشبینی تراوایی مطلق، به وسیلهی خواص هندسی به دست آمده از عکسهای میکروسیتی مورد مطالعه قرارگرفته است .با استفاده از خواص هندسی محاسبه شده معادلههایی برای به دست آوردن تراوایی پیشنهادشده است .خطای نسبی تراواییهای محاسبه شده با استفاده از معادلات جدید ارائهشده، ۶ درصد میباشد که نشان دهنده قابل قبول بودن روش پیشنهادی جدید است .
Text of Note
Pore space characterization helps better understanding of porous media. The pore geometry and topological properties of rocks are important for a better understanding of the complex petrophysical, hydrologic and elastic properties. Detailed model of the pore space constructed directly from three-dimensional images can bring reliable results because the porous media complexity would be considered. in this study, by considering different methods a deep understanding from some pore spaces are obtained. Twenty-three series of 2D micro-computed tomography binary images of various rocks have been collected; and each of them was considered as a 3D binary image. Using novel skeletonization and pore-throat segmentation algorithms, some network properties have been evaluated and compared for the cases. Those considered properties were pore and grain size distribution, throat length frequency and coordination number frequency. The main idea of the present study was using two approaches for constructing the pore network in order to obtain the specifications of binary images of studied rocks. The first approach, is the Rabbani's method, which is convenient regarding visualization of the network, but the pores are only considered as spheres. The second approach is to construct the pore network by using the skeletonization and skeleton to graph algorithms which have been introduced in separate works by Kollmannsberger. The algorithms introduced by Kollmannsberger, originally proposed for bone image processing, were used for the first time in the present study for the construction of rock pore network. The Kollmannsberger algorithms have the advantage that the pore shape is not limited to sphere. Considering the shortage of this method in visualizations, in contrast to Rabbanis method, this method has been improved in the present study to provide a convenient representation of the pore network. The networks extracted by the improved Kollmannsberger method have been represented in this thesis. Moreover, challenges on rock absolute permeability prediction from tiny sample when laboratory apparatus is not applicable and without pore network modelling is remarkable. This prediction using the characterization of micro-computed tomography images have been studied. Twenty series of 2D micro computed tomography rock binary images have been collected, each of them was considered as a 3D binary image. Their geometric measures in 2D and 3D for measuring image properties have been considered using Minkowski functionals and available functions, developing a regression model, absolute permeabilities have been evaluated. The area, the perimeter and the 2D Euler number are 2D binary images properties. The volume, the surface area, the mean breadth also known as integral of the mean curvature, and the 3D Euler Number are 3D binary images properties. Porosity and number of objects also have been considered as parameters of a regression model. To perform linear regression, twenty-four parameters were evaluated and some of them were chosen to be used. An equation is proposed based on the extensive study conducted which can predict rock permeability. Average absolute relative error for conducted cases is 0.06. Finally, in this study, by deep and accurate micro-CT images investigating of twenty-four cases, development on pore network extraction, visualization and, geometric, topological and petrophysical properties evaluation, have been presented
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PARALLEL TITLE PROPER
Parallel Title
Development of Pores Network Extraction Methods to Create a New Algorithm