Non-classical flow modeling of spontaneous imbibition in spatially heterogeneous reservoirs

Ghosh, Tufan; Deb, Debasis; Sekhar, G. P. Raja

doi:10.1007/s10596-020-09967-0

Comput Geosci

2020

DOI: 10.1007/s10596-020-09967-0

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Non-classical flow modeling of spontaneous imbibition in spatially heterogeneous reservoirs

Tufan Ghosh

Debasis Deb

G. P. Raja Sekhar

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Cited by 4 publications

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“…Mehta and Yadav [9] discovered the mathematical model and found the approximate solutions of counter-current imbibition phenomena in a banded porous matrix. Spatially heterogeneous reservoirs are studied by modeling the non-classical flow of spontaneous imbibition [10]. In [11] a heterogeneous porous medium with cracks and small inclination is investigated.…”

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Analysis of Multi-Phase Flow Through Porous Media for Imbibition Phenomena by Using the LeNN-WOA-NM Algorithm

et al. 2020

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The flow of fluids in multi-phase porous media results due to many interesting natural phenomena. The counter-current water imbibition phenomena, that occur during oil extraction through a cylindrical well is an interesting problem in petroleum engineering. During the secondary oil recovery process, water is injected into a porous media having heterogenous and homogenous characteristics. Due to the difference in viscosities of fluids in oil wells, the counter-current imbibition phenomenon occurs. At that moment, the imbibition equation V i = −V n is satisfied by the viscosities of oil and water. In this paper, we have analyzed the governing mathematical model of the imbibition phenomenon occurring during the secondary oil recovery process. A new soft computing algorithm is designed and adapted to analyze the mathematical model of dual-phase flow in detail. Weighted Legendre polynomials based artificial neural networks are hybridized with an efficient global optimizer the Whale Optimization Algorithm (WOA) and a local optimizer the Nelder-Mead algorithm. It is established, that our algorithm LeNN-WOA-NM is efficient and reliable in calculating high-quality solutions in less time. We have compared our experimental outcome with state-of-the-art results. The quality of our solutions is judged based on values of absolute errors, MAD, TIC, and ENSE. It is obvious that LeNN-WOA-NM algorithm can solve real application problems efficiently and accurately. INDEX TERMS Counter-current imbibition phenomena, homogeneous porous media, heterogeneous porous media, capillary pressure, soft computing algorithm, weighted Legendre neural networks, Nelder-Mead algorithm, whale optimization algorithm. I. INTRODUCTION T HIS paper models the phenomena of counter-current imbibition in the multi-phase flow of two immiscible fluids through heterogeneous and homogenous porous mediums that occurs during the secondary oil recovery process or water flooding [1]. In applied sciences, various changes occur in porous mediums having multi-phase flows of different fluids. In the past few decades, researchers are focused on studying the flows in underground petroleum reservoirs [2]. The primary recovery process includes the production of oil by simple natural decompression with no effect of external forces at wells [3]. In secondary oil recovery or water flooding process, fluids like water, polymer, steam are injected into a reservoir through injection wells located in rocks that have fluid communication with production wells. This process is called the immiscible displacement process [3].

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Analysis of Multi-Phase Flow Through Porous Media for Imbibition Phenomena by Using the LeNN-WOA-NM Algorithm

et al. 2020

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Numerical investigation of spontaneous imbibition in an anisotropic reservoir

Ghosh

Gujjala

Deb

et al. 2022

Geomech. Geophys. Geo-energ. Geo-resour.

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Study of parametric effect on saturation rate in imbibition phenomenon for various porous materials

Tandel

2024

Journal of Ocean Engineering and Science

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Non-classical flow modeling of spontaneous imbibition in spatially heterogeneous reservoirs

Cited by 4 publications

References 48 publications

Analysis of Multi-Phase Flow Through Porous Media for Imbibition Phenomena by Using the LeNN-WOA-NM Algorithm

Analysis of Multi-Phase Flow Through Porous Media for Imbibition Phenomena by Using the LeNN-WOA-NM Algorithm

Numerical investigation of spontaneous imbibition in an anisotropic reservoir

Study of parametric effect on saturation rate in imbibition phenomenon for various porous materials

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