Cover Image

Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination

Bottomhole data availability is important for managing reservoir and well deliverability. Adequate knowledge on key well/reservoir parameters assists in both production planning and reserves recovery. However, continuous data acquisition is often where we stumbled, due to a combination of economic...

Full description

Saved in:
Bibliographic Details
Main Authors: Hon , Vai Yee, Zainal , suzalina, Jelani , Jamil, Mohd Saaid, Ismail
Format: Conference or Workshop Item
Published: 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/5483/1/ECMOR_XI_P25_-_Hon.pdf
http://eprints.utp.edu.my/5483/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.5483
record_format eprints
spelling my.utp.eprints.54832017-03-20T01:57:00Z Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination Hon , Vai Yee Zainal , suzalina Jelani , Jamil Mohd Saaid, Ismail QA75 Electronic computers. Computer science Bottomhole data availability is important for managing reservoir and well deliverability. Adequate knowledge on key well/reservoir parameters assists in both production planning and reserves recovery. However, continuous data acquisition is often where we stumbled, due to a combination of economic, operational/logistical constraints such as economically unjustifiable downhole monitoring devices, risk of fishing/well downtime via well intervention measurement. An alternative to direct bottomhole data acquisition through well intervention is to employ advanced PVT model where surface data and established correlations are used to estimate these downhole data, with reasonable accuracy. To enable an accurate downhole data determination, understanding of wellbore dynamic behavior is crucial in shut-in well performance modeling. However, the major assumption in current PVT equations is instantaneous transformation of one phase (gas) into another phase (oil). During shut-in, this assumption leads to inaccuracy in gas/liquid distribution in the well and hence, an incorrect prediction of interphase level, in-situ density and pressure distribution in the well. This inaccurate PVT characteristic leads to unreliable estimated downhole data, particularly the reservoir pressure. Our research aims to improve the current estimation method by incorporating the time dimension, mass transfer rate, into well performance modeling. The strategy is to develop a novel PVT incorporating mass transfer rate model by employing the basic model of black oil PVT, EoS and mass transfer rate equations. A mathematical correlation which incorporates the time dimension as inherited in the mass transfer theory is devised. Therefore, the model is able to determine an accurate volume of each fluid phase at any node in the wellbore by incorporating the fluid segregation, mass transfer rate and fluid ingress in the reservoir during shut-in. This better description of wellbore dynamic behavior improves the accuracy of well performance modeling ensuring a reliable downhole data determination. 2008-09-08 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5483/1/ECMOR_XI_P25_-_Hon.pdf Hon , Vai Yee and Zainal , suzalina and Jelani , Jamil and Mohd Saaid, Ismail (2008) Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination. In: 11th European Conference on the Mathematics of Oil Recovery , 8-11 September 2008, Bergen, Norway,. http://eprints.utp.edu.my/5483/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hon , Vai Yee
Zainal , suzalina
Jelani , Jamil
Mohd Saaid, Ismail
Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
description Bottomhole data availability is important for managing reservoir and well deliverability. Adequate knowledge on key well/reservoir parameters assists in both production planning and reserves recovery. However, continuous data acquisition is often where we stumbled, due to a combination of economic, operational/logistical constraints such as economically unjustifiable downhole monitoring devices, risk of fishing/well downtime via well intervention measurement. An alternative to direct bottomhole data acquisition through well intervention is to employ advanced PVT model where surface data and established correlations are used to estimate these downhole data, with reasonable accuracy. To enable an accurate downhole data determination, understanding of wellbore dynamic behavior is crucial in shut-in well performance modeling. However, the major assumption in current PVT equations is instantaneous transformation of one phase (gas) into another phase (oil). During shut-in, this assumption leads to inaccuracy in gas/liquid distribution in the well and hence, an incorrect prediction of interphase level, in-situ density and pressure distribution in the well. This inaccurate PVT characteristic leads to unreliable estimated downhole data, particularly the reservoir pressure. Our research aims to improve the current estimation method by incorporating the time dimension, mass transfer rate, into well performance modeling. The strategy is to develop a novel PVT incorporating mass transfer rate model by employing the basic model of black oil PVT, EoS and mass transfer rate equations. A mathematical correlation which incorporates the time dimension as inherited in the mass transfer theory is devised. Therefore, the model is able to determine an accurate volume of each fluid phase at any node in the wellbore by incorporating the fluid segregation, mass transfer rate and fluid ingress in the reservoir during shut-in. This better description of wellbore dynamic behavior improves the accuracy of well performance modeling ensuring a reliable downhole data determination.
format Conference or Workshop Item
author Hon , Vai Yee
Zainal , suzalina
Jelani , Jamil
Mohd Saaid, Ismail
author_facet Hon , Vai Yee
Zainal , suzalina
Jelani , Jamil
Mohd Saaid, Ismail
author_sort Hon , Vai Yee
title Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
title_short Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
title_full Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
title_fullStr Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
title_full_unstemmed Mathematical Workflow Incorporating PVT/Mass Transfer Rate Models for Subsurface Data Determination
title_sort mathematical workflow incorporating pvt/mass transfer rate models for subsurface data determination
publishDate 2008
url http://eprints.utp.edu.my/5483/1/ECMOR_XI_P25_-_Hon.pdf
http://eprints.utp.edu.my/5483/
_version_ 1738655408867770368
score 13.211869

Similar Items