Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

ESTIMATION OF COEFFICIENT OF ISOTHERMAL OIL COMPRESSIBILITY AT RESERVOIR PRESSURE GREATER THAN BUBBLE POINT PRESSURE USING GROUP METHOD OF DATA HANDLING

Poh , Chuan Sieu (2014) ESTIMATION OF COEFFICIENT OF ISOTHERMAL OIL COMPRESSIBILITY AT RESERVOIR PRESSURE GREATER THAN BUBBLE POINT PRESSURE USING GROUP METHOD OF DATA HANDLING. Masters thesis, UNIVERSITI TEKNOLOGI PETRONAS.

[img]
Preview
PDF
Download (1MB) | Preview

Abstract

The procedures of determining the oil compressibility through PVT analyses are usually costly and time consuming. Therefore, various empirical correlations were designed in order to accurately estimate the oil compressibility. This project focuses on designing a model correlation which could accurately predict the oil compressibility coefficient above bubble point pressure. The new model correlation using the Polynomial GMDH method will be compared in terms of its accuracy and reliability with actual PVT data and also current oil compressibility correlation using different types of analysis such as trend analysis, group error analysis, statistical error analysis and graphical error analysis. A total number of 195 data sets were collected from the Mediterranean Basin, Africa, Persian Gulf and the North Sea and after data filtration 183 data were used and divided into 3 sections of training, validation and testing data sets in a ratio of 2:1:1. Using the Polynomial GMDH technique, 3 input parameters were found to be affecting the outputs which are Reservoir Pressure, Solution GOR and Bubble Point Pressure. The new model correlations were then compared with the other correlations and it surpasses all of the other correlations in terms accuracy by having the lowest Root Mean Square Error, Average Percent Relative Errors, Average Absolute Percent Relative Error and Standard Deviations. Furthermore, it is worth to note that the Absolute Percent Relative Error was the main statistical analysis criteria in this study and the Polynomial GMDH model obtained the lowest value. Overall, the Polynomial GMDH model is a robust model and can be affectively applied within its trained data ranges.

Item Type: Thesis (Masters)
Academic Subject : Academic Department - Petroleum Geosciences - Petrophysics - Petrophysical data acquisition
Subject: T Technology > T Technology (General)
Divisions: Geoscience and Petroleum Engineering
Depositing User: Users 2053 not found.
Date Deposited: 09 Sep 2014 15:39
Last Modified: 25 Jan 2017 09:36
URI: http://utpedia.utp.edu.my/id/eprint/13961

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...