Three dimensional micro PTV using deconvolution microscopy.A three dimensional micro particle tracking velocimetry micro PTV scheme is presented using a single camera with deconvolution microscopy.This method devises tracking of the line of sight z flow vectors by correlating the diffraction pattern ring size variations with the defocusing distances of small particle locations.The working principle is based on optical serial sectioning microscopy, or equivalently deconvolution microscopy, that records images of an infinitesimally small particle, and generates a point spread function of the three dimensional diffraction patterns.A new image processing algorithm has also been developed to digitally identify the center locations and measure the radii of the diffraction rings, which allows simultaneous tracking of all three vector components.The developed PTV technique uses a 4.NA dry objective lens with 5.SG1. 0. 5, and successfully measures the fully three dimensional fields flowing over a spherical obstacle snuggly fitted inside a 1.This document is intended to give Leica STED users a brief introduction to deconvolving images on Huygens Professional using images acquired with the Leica TCS SP8.Fluorescence microscopy is an important tool in biological sciences which provides excellent sensitivity for detecting very low concentrations of molecules over broad.Depth_Coded_Phalloidin_Stained_Actin_Filaments_Cancer_Cell.png/578px-Depth_Coded_Phalloidin_Stained_Actin_Filaments_Cancer_Cell.png' alt='Comparison Of Deconvolution Software In Microscopy The Term' title='Comparison Of Deconvolution Software In Microscopy The Term' />This position is for a technician in the Intel Fab 12 Materials Lab TEM group who will be responsible for TEM sample preparation.This job requires.The volumetric measurement resolution of the present system is equivalent to a 5.Comparison Of Deconvolution Software In Microscopy The Term' title='Comparison Of Deconvolution Software In Microscopy The Term' />Inderscience Publishers linking academia, business and industry through researchby Micha Warcho, Konrad wirski, Blazej Ruszczycki, Konrad Wojdan Abstract We present a computational method for achieving an optimal operation of compressor units used in industrial gas storage systems.The proposed method is capable to operate with a mix of compressor types i.The goal of the optimization is to find an optimal compressors configuration and distribution of the compressor loads for each instance of time.The proposed method is based on conversion of a multi dimensional discrete continuous optimizaion problem into a set of independent combinatorial and nonlinear optimization problems.We derive the mathematical foundations of the algorithms.The exemplary results of the application are presented.Keywords gas storage systems ,compressor performance optimization compressor units.Comparison Of Deconvolution Software In Microscopy The Term' title='Comparison Of Deconvolution Software In Microscopy The Term' />DOI 1.IJOGCT. 2. 01. 7.Wellbore stability analysis of fractured formations based on Hoek Brown failure criterion by Tianshou Ma Abstract The practice of oil and gas drilling has shown that borehole stability is a key factor to ensure the success of drilling in deep formations, especially in fractured formations.Various researchers have therefore proposed a variety of methods for the analysis of wellbore stability by using the single plane of weakness theory.However, due to the difficulty in determining the occurrence and mechanical parameters of weak planes, it is difficult to apply the theory in actual engineering directly.Thus, an analytical method was proposed to predict the stability of the borehole in fractured formations.The computational model for pore pressure propagation was established, and a coefficient was defined to characterize the effects of non ideal filter cake.The stress model induced by the in situ stress, wellbore pressure and pore pressure has been obtained.The computational model of collapse pressure was derived based on the stress model and the Hoek Brown H B and Mohr Coulomb M C criteria.The pore pressure profiles, stress distribution, unstable zones and the critical mud weight CMW required to maintain wellbore stability are investigated for the different states of in situ stress.The results show that both tangential and axial stresses will vary sinusoidally and reach a maximum value at Keywords wellbore stability collapse pressure critical mud weight failure criteria Hoek Brown Mohr Coulomb.Optimization Based Algorithm for Refinery Short Term Scheduling of Crude Oil by Qianqian Duan Abstract A short term schedule for oil refinery should detail all the activities for the entire scheduling process, leading to a complex problem.There is a lack of efficient techniques and software tools for its solution applicable to industrial.An optimization based algorithm is proposed in this paper with.This solution approach benefits from a hybrid automaton model describing the.In order to solve the crude oil scheduling, the hybrid model.As evidenced by experimental results, this approach has been.Keywords refinery, hybrid system, hybrid automaton model, solution space.Assisted History Matching Using Pattern Recognition Technology by Alireza Shahkarami, Shahab D.Mohaghegh, Yasin Hajizadeh Abstract This study aims to examine the application of pattern recognition technologies to improve the time and effort required for completing a successful history matching project.The pattern recognition capabilities of artificial intelligence and data mining techniques are used to develop a Surrogate Reservoir Model SRM, which is then employed to perform the assisted history matching process.A well known standard reservoir model, PUNQ S3, was selected to examine the potentials of the SRM in an assisted history matching process.The SRM is a prototype of a full field reservoir simulation model that runs in a matter of seconds.SRMs are built based on a spatio temporal database, which includes different types of data extracted from a few realizations of the simulation model.In this study, the SRM was developed using ten geological realizations of the PUNQ S3.The uncertain properties of this reservoir model are the distributions of porosity and the horizontal and vertical permeabilities.The SRM was coupled with the Differential Evolution DE optimization method to construct an automated history matching workflow.This workflow was able to produce multiple realizations of the reservoir characteristics, which matched the past performance of reservoir.Notably, the SRM demands a low development cost and has a high implementation pace.The developed SRM showed a high accuracy in replicating the behavior of the reservoir simulation model. The Binding Of Isaac Setup New Email . Once we selected the best performing cases during history matching, we were able to obtain reliable future forecasts for the model.The results of this study prove the capability of SRMs in assisting history matching processes using population based sampling algorithms and other computationally intensive operations in reservoir management workflows.Keywords history matching pattern recognition surrogate reservoir models PUNQ S3 differential evolution.Physical Vacuum Distillation and High Temperature Simulated Distillation of Residual Oils from Different Origin by Dicho Stratiev, Ekaterina Nikolaychuk, Anife Veli, Ivelina Shishkova, Anelia Burilkova, Elisaveta Tamahkyarova, Magdalena Mitkova, Dobromir Yordanov Abstract High Temperature Simulated Distillation HTSD of residual oils is not only faster but also more precise than the physical vacuum distillation ASTM D 5.However, the HTSD ASTM D 7.A verification of the correctness of the HTSD analysis could be accomplished by comparison of the HTSD curve with the one of the physical vacuum distillation methods ASTM D 1.ASTM D 5. 23. 6. The calibration blend, design of the liner, the GC inlet temperature, and the concentration of heavy oil sample in CS2 were found to have a considerable impact on the correctness of the reported results.The conversion of HTSD in ASTM D 5.ASTM D 5. 23. 6 vacuum distillation with almost the same precision as is its repeatability of the method.Keywords heavy oil physical vacuum distillation HTSD distillation interconversion.Design and Analysis of Adsorptive Desulfurization of Diesel Oil by Noora Naif Darwish, Zarook Shareefdeen, Yehya El Sayed, Isam Al Zubaidy, Ziad Sara Abstract The optimization of sulfur removal percentages and calculated diesel indices for diesel oil using two types of activated charcoal PAC1, and PAC2 was achieved using factorial design.The aim of this study involves analyzing the effects of the amount of adsorbent A, temperature B, and contact time C on sulfur removal percentage and diesel index.X ray fluorescence spectroscopy was used to analyze the sulfur content in diesel oil, while Scanning Electron Microscopy SEM, Inductively Coupled Plasma ICP analysis, and Nitrogen Adsorption analysis were conducted to analyze the carbon adsorbents before and after adsorption process.Moreover, pseudo first order and second order kinetic models were applied to determine the adsorption kinetics.The maximum percentage sulfur removal obtained was 6.In 2 level factorial designs 2k, the analysis showed different results for each response variable.For the first response variable sulfur removal percentage, the effect of the amount of sorbent material is of major importance.The effect of the contact time showed a moderate positive effect however, the temperature showed a weak inverse effect.On the other hand, for the second response variable calculated diesel index, results showed a moderate positive effect of the amount of sorbent material, a significant negative effect of the temperature and a moderate positive effect of the contact time.The main interaction was between the amount of sorbent material and the contact time.The predicted values using the generated models were in reasonable agreement with the experimental data.Keywords Adsorptive desulfurization, diesel oil, factorial design, sulfur removal percentage, calculated diesel index.An Improved Algorithm for Unknown Flow Rate History Reconstruction with the Haar Wavelet Transform by Fuyong Wang Abstract Flow rate history is the key information for reservoir surveillance and management, but it is not always available in practice due to expensive and unstable metering devices.
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