A FRACTAL-BASED OIL TRANSPORT MODEL WITH UNCERTAINTY REDUCTION FOR A MULTI-SCALE SHALE PORE SYSTEM
Wenhui Song,
Yunhu Lu,
Yihua Gao,
Bowen Yao,
Yan Jin () and
Mian Chen
Additional contact information
Wenhui Song: School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
Yunhu Lu: School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
Yihua Gao: ��CNOOC Research Institute Co., Beijing 100028, P. R. China
Bowen Yao: School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
Yan Jin: School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
Mian Chen: School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, P. R. China
FRACTALS (fractals), 2024, vol. 32, issue 03, 1-16
Abstract:
The challenges of modeling shale oil transport are numerous and include strong solid-fluid interactions, fluid rheology, the multi-scale nature of the pore structure problem, and the different pore types involved. Until now, theoretical studies have not fully considered shale oil transport mechanisms and multi-scale pore structure properties. In this study, we propose a fractal-based oil transport model with uncertainty reduction for a multi-scale shale pore system. The fractal properties of the shale pore system are obtained using high-resolution scanning electron microscope (SEM) imaging combined with laboratory core sample gas permeability measurements to reduce the model uncertainty. This fractal-based oil transport model accounts for boundary slippage, fluid rheology, the adsorption layer, and different pore types. We further pinpoint the effects of the fractal properties (pore fractal dimension, tortuosity fractal dimension), the shale pore properties (pore type, pore size, total organic carbon in volume), and the fluid properties (yield stress, liquid slippage, adsorption layer) on the shale oil permeability and mobile oil saturation using the proposed model. The results reveal that the size of the inorganic pores has the largest influence on the shale oil transport properties, followed by the yield stress, tortuosity fractal dimension, and the fractal dimension of the inorganic pores.
Keywords: Fractal Geometry; Shale Oil; Transport Mechanism; Porous Media; Non-Newtonian Rheology (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X24500531
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