مشروع البحث: استخلاص بعض المؤشرات الاحصائية من بيانات المنتجات النفطية (دراسة تطبيقية )
تحميل...
المساهمين
الممولين
رقم التعريف
6791
الباحث
الصديق علي المنتصر
الوصف
This research discusses the extraction of some statistical indicators from
real oil data. Statistical analysis of oil or petroleum data helps greatly in
providing reliable information to the decision makers in relevant
institutions when making decisions or building future plans that related to
oil industry. In this study, oil data were that recoded by a company for the
period 2007-2010. The data under study are recorded readings of a number
of oil compounds forming crude oil and are therefore expected to be related
to each other. The data under consideration have not been previously
studied using any statistical instruments. For this reason, data were firstly
statistically explored using some well known tools of graphing methods
and descriptive. The considered data are related to the production of crude
oil from one of the oil fields in southern Libya, where this production is
pumped through specially designed pipelines to reach a platform for export
across the sea to global consumption markets. This process of production
is accompanied by some associated compounds of crude oil which affect
the quality or conformity of the product to certain in advance specific
specifications so that it can be classified globally. Associated compounds
are chemical compounds including Naphtha, Sulfur, Propane and Butane.
And might include natural gas. The amount or proportion of these
compounds in crude oil has a positive or negative effect on the cost of
producing crude oil. These compounds may also be treated to be diluted or
treated by disposal by burning or sometimes subject to treatment process
to be useful for some purposes. The current study investigates the
relationship between crude oil and these compounds. In this study, a
number of statistical methods have been used to identify these
relationships, including the use of some multivariate analysis tools. Also,
the application and discussion of multiple linear regression and correlation
ز
tools to studied data has been presented. In this aspect, we look at the
amount of produced crude oil as a dependent variable while the other
compounds are treated as independent variables. The study was divided
into four chapters, where the first chapter was devoted to the general
introduction, especially regarding the purpose of the study and its
importance, as well as a description of the data under study. In the second
chapter, the theoretical side of the statistical methods used was discussed.
In the third chapter, the practical aspect of the methods that described in
chapter 2 was discussed for the available data. In Chapter 4, the findings
and recommendations are based on the results of the statistical analysis of
the data under study. Statistical analysis was performed using the two
statistical software: Minitab, R and SPSS
الكلمات الدالة
استخلاص بعض المؤشرات الاحصائية من بيانات المنتجات النفطية