Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Determining model parameters for non-linear deep-bed filtration using laboratory pressure measurements
Author: Vaz, A.
Bedrikovetsky, P.
Fernandes, P.
Badalyan, A.
Carageorgos, T.
Citation: Journal of Petroleum Science and Engineering, 2017; 151:421-433
Publisher: Elsevier
Issue Date: 2017
ISSN: 0920-4105
Statement of
A. Vazb, P. Bedrikovetsky, P.D. Fernandes, A. Badalyan, T. Carageorgos
Abstract: Particle capture in porous media and the consequent permeability reduction occur in oilfields during water injection or produced water re-injection, migration of mobilized reservoir fines, and invasion of drilling and completion fluids into formations. Reliable modelling-based prediction of particle propagation in natural reservoirs is an essential step in the planning and design of waterflooding. The mathematical model for suspension-colloidal transport in natural reservoirs contains two empirical functions of retained particle concentration. The filtration function expresses the particle capture rate. The formation-damage function determines the permeability decline due to particle capture and retention. Previous works developed an inverse-problem solution to recover both functions from breakthrough concentration and the pressure drop. The present paper develops a new method that determines the filtration and formationdamage functions from pressure measurements only. The method uses pressure data at an intermediate point of the porous column (core), which supplements pressure measurements at the core inlet and outlet. The proposed method furnishes two retained-concentration functions for filtration and formation-damage. The method is validated by comparison with laboratory experiments. A high fit with the pressure data at three core points was observed. Moreover, the fitted model predicts the pressure measured at other core points with high precision.
Keywords: Injectivity; formation damage; colloid; permeability impairment; laboratory method; mathematical model
Rights: © 2017 Elsevier B.V. All rights reserved.
RMID: 0030063689
DOI: 10.1016/j.petrol.2017.01.001
Appears in Collections:Australian School of Petroleum publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.