Improved Characterization of Transition Zones in Carbonate Reservoir by Modern Digital Imaging Technique

2018 ◽  
Author(s):  
Huafeng Sun ◽  
Hadi Belhaj ◽  
Achinta Bera
Keyword(s):  
Digital Imaging ◽  
Imaging Technique ◽  
Carbonate Reservoir ◽  
Transition Zones

Linking Diagenesis, NMR, and Dynamic Data for Accurate Flow Characterization of Heterogeneous Carbonate Reservoir

2014 ◽  
Author(s):  
Umer Farooq ◽  
Reza Iskandar ◽  
El Sayed Moustafa Radwan ◽  
Magdy Ahmed H Hozayen
Keyword(s):  
Carbonate Reservoir ◽  
Dynamic Data ◽  
Flow Characterization

Contrast-Enhanced Ultrasound in the Assessment of Carotid Atherosclerotic Disease: A Review

Neurographics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 38-48
Author(s):  
S. Tellapuri ◽  
P.D. Sutphin ◽  
S.P. Kalva ◽  
R.F. Mattrey
Keyword(s):  
Carotid Arteries ◽  
Imaging Technique ◽  
Nonlinear Behavior ◽  
Current Status ◽  
Imaging Features ◽  
Direct Evaluation ◽  
Factors Associated ◽  
Contrast Enhanced ◽  
Microbubble Contrast Agents

Contrast-enhanced sonography is a safe, radiation-free, and minimally invasive imaging technique. It takes advantage of the nonlinear behavior of microbubble contrast agents to produce microbubble-only images, which allows for the assessment of the extracranial carotid arteries, with a minuscule total dose of <1 mL. This review highlights the current status of extracranial carotid sonography imaging, including plaque characterization when using standard and contrast-enhanced sonography.Learning Objective: Describe risk factors associated with ischemic stroke and the associated imaging features and how contrast-enhanced sonography can provide direct evaluation for carotid artery stenosis as well as characterization of atherosclerotic plaque.

scholarly journals A DIGITAL IMAGING TECHNIQUE TO QUANTIFY THE INCIDENCE OF INTERNAL BROWNING IN POTATO (SOLANUM TUBEROSUM) TUBERS

2008 ◽  
Vol 44 (2) ◽  
pp. 157-166 ◽  
Author(s):  
S. M. HARPER ◽  
F. P. C. BLAMEY
Keyword(s):  
Solanum Tuberosum ◽  
Digital Imaging ◽  
Imaging Technique ◽  
Digital Data ◽  
Tuber Quality ◽  
Potato Tubers ◽  
Rating Systems ◽  
Rating Data ◽  
Visual Rating ◽  
Internal Browning

SUMMARYInternal browning disorders, including brown fleck (BF), in potato (Solanum tuberosum) tubers greatly reduce tuber quality, but the causes are not well understood. This is due, in part, to the highly variable data provided by visual value-based rating systems. A digital imaging technique was developed to quantify accurately the incidence of internal browning in potato tubers. Images of tuber sections were scanned using a flatbed scanner and digitally enhanced to highlight tuber BF lesions, and the area of affected tissue calculated using pixel quantification software. Digital imaging allowed for the determination of previously unused indices of the incidence and severity of internal browning in potato tubers. Statistical analysis of the comparison between digitally derived and visual-rating BF data from a glasshouse experiment showed that digital data greatly improved the delineation of treatment effects. The F-test probability was further improved through square root or logarithmic data transformations of the digital data, but not of the visual-rating data. Data from a field experiment showed that the area of tuber affected by BF and the number of small BF lesions increased with time and with increase in tuber size. The results from this study indicate that digital imaging of internal browning disorders of potato tubers holds much promise in determining their causes that heretofore have proved elusive.

Integrated Approach For Stratigraphic Characterization Of Lower Cretaceous Carbonate Reservoir In North Kuwait

2018 ◽  
Author(s):  
P.K. Nath ◽  
J. Coronado ◽  
S. Bhukta ◽  
A. Najem ◽  
S.K. Singh ◽  
...  
Keyword(s):  
Lower Cretaceous ◽  
Integrated Approach ◽  
Carbonate Reservoir

Measurements and Characterization of Photovoltaic Modules for Tolerance Verification

2013 ◽  
pp. 144-152
Author(s):  
C. Calò ◽  
A. Lay-Ekuakille ◽  
P. Vergallo ◽  
C. Chiffi ◽  
A. Trotta ◽  
...  
Keyword(s):  
Digital Imaging ◽  
Failure Mechanisms ◽  
Matrix Methods ◽  
Energy Prediction ◽  
Photovoltaic Modules ◽  
Pv Module ◽  
Pv Modules ◽  
Tolerance Verification ◽  
Material Tests

One of the most important aspects of photovoltaic modules is reliability for future uses, that is, a certain module will last certain number of years in use (generally 30 or 35 years). Reliability yields from excellent qualification tests on photovoltaic (PV) modules. Testing for reliability identifies unknown failure mechanisms and whether modules are susceptible to known failure mechanisms. This paper illustrates techniques of outdoor measurements and qualification characterization to know PV module conditions for commercial uses. Matrix methods are used for energy prediction. Failure material tests, using digital imaging and thermography, have also been conducted.

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