A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone

Spontaneous imbibition (SI) is the principal production mechanism in naturally fractured reservoirs produced by waterflooding and is essential for fluid flow characterization to predict their future performance. As an alternative to the expensive, time-consuming laboratory measurements, 2D images re...

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Main Authors: Saafan, M., Ganat, T., Mohyaldinn, M., Chen, X.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.28924 /
Published: Elsevier B.V. 2022
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119442151&doi=10.1016%2fj.petrol.2021.109747&partnerID=40&md5=9c05ad8933c3454eb37f20914991b097
http://eprints.utp.edu.my/28924/
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spelling utp-eprints.289242022-03-16T08:43:13Z A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone Saafan, M. Ganat, T. Mohyaldinn, M. Chen, X. Spontaneous imbibition (SI) is the principal production mechanism in naturally fractured reservoirs produced by waterflooding and is essential for fluid flow characterization to predict their future performance. As an alternative to the expensive, time-consuming laboratory measurements, 2D images render a different prospect to obtain SI capillary pressure curves, especially for tight reservoirs. This paper introduces a unique approach to infer SI capillary pressure curves from 2D images through integrating image analysis and fractal theory. Using pore-related information obtained from image analysis, we properly represent the pore structure as bundles of tortuous square and triangular tubes with sinusoidally varying radii to imitate cross-sectional variation between pore bodies and throats. Moreover, we simulate the piston-like and snap-off displacement mechanisms to derive an innovative fractal SI capillary pressure model. The developed model considers the contact angle hysteresis caused by surface roughness and heterogeneity of reservoir rocks. The Mayer-Stowe-Princen (MSP) approach is implemented to compute the entry capillary pressure of piston-like displacement. The laboratory-measured porosity and permeability are utilized to determine the model's 3D-related parameters that cannot be inferred from 2D images. The model reliability is verified with the good accuracy of the predicted capillary pressure curves versus laboratory-measured data of five samples from the Liushagang and Huangliu in the South China Sea. Finally, the fundamental parameters influencing the developed SI capillary pressure model are investigated with sensitivity analysis. © 2021 Elsevier B.V. Elsevier B.V. 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119442151&doi=10.1016%2fj.petrol.2021.109747&partnerID=40&md5=9c05ad8933c3454eb37f20914991b097 Saafan, M. and Ganat, T. and Mohyaldinn, M. and Chen, X. (2022) A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone. Journal of Petroleum Science and Engineering, 208 . http://eprints.utp.edu.my/28924/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Spontaneous imbibition (SI) is the principal production mechanism in naturally fractured reservoirs produced by waterflooding and is essential for fluid flow characterization to predict their future performance. As an alternative to the expensive, time-consuming laboratory measurements, 2D images render a different prospect to obtain SI capillary pressure curves, especially for tight reservoirs. This paper introduces a unique approach to infer SI capillary pressure curves from 2D images through integrating image analysis and fractal theory. Using pore-related information obtained from image analysis, we properly represent the pore structure as bundles of tortuous square and triangular tubes with sinusoidally varying radii to imitate cross-sectional variation between pore bodies and throats. Moreover, we simulate the piston-like and snap-off displacement mechanisms to derive an innovative fractal SI capillary pressure model. The developed model considers the contact angle hysteresis caused by surface roughness and heterogeneity of reservoir rocks. The Mayer-Stowe-Princen (MSP) approach is implemented to compute the entry capillary pressure of piston-like displacement. The laboratory-measured porosity and permeability are utilized to determine the model's 3D-related parameters that cannot be inferred from 2D images. The model reliability is verified with the good accuracy of the predicted capillary pressure curves versus laboratory-measured data of five samples from the Liushagang and Huangliu in the South China Sea. Finally, the fundamental parameters influencing the developed SI capillary pressure model are investigated with sensitivity analysis. © 2021 Elsevier B.V.
format Article
author Saafan, M.
Ganat, T.
Mohyaldinn, M.
Chen, X.
spellingShingle Saafan, M.
Ganat, T.
Mohyaldinn, M.
Chen, X.
A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
author_sort Saafan, M.
title A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
title_short A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
title_full A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
title_fullStr A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
title_full_unstemmed A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone
title_sort fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2d image analysis of low-permeability sandstone
publisher Elsevier B.V.
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119442151&doi=10.1016%2fj.petrol.2021.109747&partnerID=40&md5=9c05ad8933c3454eb37f20914991b097
http://eprints.utp.edu.my/28924/
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score 11.62408

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