scholarly journals DOE/DOT Crude Oil Characterization Research Study, Task 2 Test Report on Evaluating Crude Oil Sampling and Analysis Methods, Revision 1 - Winter Sampling

2018 ◽  
Author(s):  
David Lord ◽  
Ray Allen ◽  
David Rudeen ◽  
Chad Wocken ◽  
Ted Aulich
Keyword(s):  
Crude Oil ◽  
Research Study ◽  
Test Report ◽  
Analysis Methods ◽  
Study Task ◽  
Oil Characterization

scholarly journals Pool Fire and Fireball Experiments in Support of the US DOE/DOT/TC Crude Oil Characterization Research Study.

2019 ◽  
Author(s):  
Anay Luketa ◽  
Thomas K. Blanchat ◽  
David Lord ◽  
Joseph Hogge ◽  
Alvaro Augusto Cruz-Cabrera ◽  
...  
Keyword(s):  
Crude Oil ◽  
Research Study ◽  
Pool Fire ◽  
The Us ◽  
Oil Characterization

<i>Hydrothermal Liquefaction of Food Waste: Bio-crude oil Characterization, Mass and Energy Balance</i>

2019 ◽  
Author(s):  
Hengameh Bayat ◽  
Feng Cheng ◽  
Mostafa Dehghanizadeh ◽  
Nicholas Soliz ◽  
Catherine E Brewer ◽  
...  
Keyword(s):  
Energy Balance ◽  
Crude Oil ◽  
Food Waste ◽  
Hydrothermal Liquefaction ◽  
Oil Characterization

scholarly journals Biostatistical Analysis: A Primer for Clinical Exercise Physiology, Part II

2018 ◽  
Vol 7 (4) ◽  
pp. 94-103
Author(s):  
George W. Divine ◽  
Suzanne L. Havstad
Keyword(s):  
Critical Thinking ◽  
Statistical Methods ◽  
Research Study ◽  
Exercise Physiology ◽  
Data Types ◽  
Quality Research ◽  
Research Results ◽  
Critical Step ◽  
Analysis Methods ◽  
Biostatistical Analysis

ABSTRACT This paper is the second in a two-part series intended to provide a brief overview of some of the important concepts in the field of biostatistics. In this paper, basic analysis methods are reviewed and issues important to the conduct and interpretation of research studies are discussed. Statistical methods of analysis are dependent on the type of data to be analyzed. Five common types of data are briefly explained: nominal, binary, ordinal, discrete, and continuous. Basic analysis methods are presented in the context of these defined data types. The interpretation of a study's results is the final critical step upon completion of a research study. The issues of critical thinking, bias, confounding, validity and the potential for over-interpretation of research results are discussed. Understanding biostatistical concepts and appropriately employing them over the course of the study is an essential part of quality research.

scholarly journals Petroleum Hydrocarbon Quarterly Boiling Range Distribution of Iraqi Crude Oil by Simulated Distillation Method

2021 ◽  
Vol 11 (4) ◽  
pp. 1-16
Author(s):  
Aliaa K. Alhead ◽  
Shatha F. Khaleel
Keyword(s):  
Crude Oil ◽  
Boiling Point ◽  
Internal Standard ◽  
Heavy Component ◽  
Point Distribution ◽  
Initial Boiling Point ◽  
Simulated Distillation ◽  
Point Increase ◽  
Oil Characterization ◽  
Light Components

This study includes analysis of different crude oil stock for various field Iraqi oil by gas chromatography instrument, using simulated distillation technique for determining the  initial and final  boiling point distribution and specified compound distillation information (normal paraffins) (Recovery W/W) for (nC5 – nC44), ASTM-D5307 becomes the analytical method. This method need tow samples; the first one spiked with internal standard and the second without internal standard. This analysis for quantitative and qualitative oil characterization which is often useful for evaluating the range of hydrocarbons in crude oil using Simulated Distillation. The study was performed using: Quarterly analysis of SIMDIS GC Distillation for three field (East Baghdad, Badra, Amara) Comparison of analyzes of SIMDIS GC Distillation with Different API (light, intermediate, heavy) with Initial boiling point (IBP). Finding experimental relationship between API and Initial boiling point (IBP):          The result of this study shows that the boiling point increase as the number of carbon is increase, the values of n-Pentane (nC5) to n- Tetratetracontane (nC44) (w/w) changes from winter and summer (difference in temperatures), Positive correlation between C6 and C5 with API, where their percentages increase with increasing API for crude oil and C6 and C5 are lower in summer than in winter due to the evaporation of light components of the samples in summer. Initial boiling point increase as the API is decrease that mean in crude oil have heavy component increases and light component decrease (inverse relationship).

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