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, dissertation, 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.

PERMEABILITY PREDICTION USING NUCLEAR MAGNETIC RESONANCE

JACOB ADILLAH, BENJAMIN (2012) PERMEABILITY PREDICTION USING NUCLEAR MAGNETIC RESONANCE. UNIVERSITI TEKNOLOGI PETRONAS. (Unpublished)

[img]
Preview
PDF
Download (6Mb) | Preview

Abstract

The accurate modelling of oil, gas, and water reservoirs depends fundamentally upon access to reliable rock permeabilities that cannot be obtained directly from downhole logs. Instead, a range of empirical models are employed and this paper will discuss several models derived from the Nuclear Magnetic Resonance data. Nuclear Magnetic Resonance (NMR) measurements were initially made for high magnetic fields, emphasizing time for protons to relax in the longitude manner, T1, for pore-size evaluation. However, modern NMR logging tools use time for the protons to relax transversely, T2, measurements to make it possible and feasible for low field strengths and these measurements should be supported by core analysis. This project will illustrate the differences in using the two different models which are the COATES MODEL and MEAN TRANSVERSE RELAXATION TIME MODEL (MEAN T2 MODEL, also known as, SDR model) to measure and predict the permeability of samples. The result is then compared to see which permeability prediction model is most accurate. The permeability is shown to be closely related to porosity, pore size, pore fluid properties and mineralogy. The NMR estimates permeability based on theoretical models that show that permeability increases with both increase in porosity and pore size.

Item Type: Final Year Project
Subject: T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Geoscience and Petroleum Engineering
Depositing User: Users 2156 not found.
Date Deposited: 11 Sep 2012 10:49
Last Modified: 25 Jan 2017 09:40
URI: http://utpedia.utp.edu.my/id/eprint/3446

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...