eprintid: 4652
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/46/52
datestamp: 2023-11-09 16:16:21
lastmod: 2023-11-09 16:16:21
status_changed: 2023-11-09 15:59:01
type: conference_item
metadata_visibility: show
creators_name: Sulaimon, A.A.
creators_name: Ramli, N.
creators_name: Adeyemi, B.J.
creators_name: Saaid, I.M.
title: New correlation for oil formation volume factor
ispublished: pub
keywords: Decision making; Estimation, Average relative error; Group method of data handling; Inductive algorithms; Laboratory measurements; Mathematical correlation; Oil formation volume factors; Real time decision-making; Simplifying assumptions, Data handling
note: cited By 10; Conference of 38th Nigeria Annual International Conference and Exhibition - Africa's Energy Corridor: Opportunities for Oil and Gas Value Maximization Through Integration and Global Approach, NAICE 2014 ; Conference Date: 5 August 2014 Through 7 August 2014; Conference Code:109402
abstract: Laboratory measurements are the most reliable methods for PVT analysis of reservoir fluid properties. Faster and cheaper methods are important for real time decision making and mathematical correlations are used to predict the properties. Most of the existing correlations do not give accurate estimations due to either simplifying assumptions or inappropriate technique. In this work, a new correlation for estimating oil formation volume factor (βo) using a Group Method of Data Handling (GMDH) technique was developed. It is a family of inductive algorithms which executes computer-based mathematical modeling of multi-parametric data sets. In developing the correlation, 93 PVT data sets from Malaysian crude oil analyses were used. The data consist of solution gas-oil ratio (Rs), βo, oil viscosity (μ,o), oil gravity (γo), gas gravity (γg) and temperature (T). Some of these parameters were set as inputs while the properties to be predicted were set as output. The correlation was developed using the estimated outcome from the technique. Subsequently, 39 data points from different reservoir fluids were used to validate the correlation. Analyses of results show that the GMDH correlation is more accurate than the existing correlations with the Average Absolute Relative Error (AARE) of 0.976, and with maximum and minimum average relative errors (max. ARE and min. ARE) of 3.989 and 0.001 respectively. Copyright © (2014) by the Society of Petroleum Engineers All rights reserved.
date: 2014
publisher: Society of Petroleum Engineers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919334419&doi=10.2118%2f172396-ms&partnerID=40&md5=a11fa566528278914b5cf79a3dba1ff4
id_number: 10.2118/172396-ms
full_text_status: none
publication: 38th Nigeria Annual International Conference and Exhibition, NAICE 2014 - Africa's Energy Corridor: Opportunities for Oil and Gas Value Maximization Through Integration and Global Approach
volume: 1
pagerange: 583-588
refereed: TRUE
isbn: 9781634393461
citation:   Sulaimon, A.A. and Ramli, N. and Adeyemi, B.J. and Saaid, I.M.  (2014) New correlation for oil formation volume factor.  In: UNSPECIFIED.