Paper
11 March 2022 The productivity model of oil of fractural dual-media
Jingjing Jiang, Fuquan Song, Jiajia Xiao, Guanghao Liu
Author Affiliations +
Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 1216003 (2022) https://doi.org/10.1117/12.2628067
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China
Abstract
With the increasing demand of domestic oil and gas energy, China's oil and gas resources are more and more dependent on foreign countries. The development and utilization of unconventional oil and gas has gradually become a research hotspot. Tight reservoir is a typical unconventional reservoir, and dual-media seepage system is an important characteristic of tight reservoir. In order to study the flow law of reservoir fluid in dual media reservoir, the influencing factors of reservoir productivity in dual medium percolation system are analyzed, and the influence of various parameters on oil well productivity was calculated and analyzed by using numerical examples. The results show that the ratio of matrix fracture pressure difference to production pressure difference and the inter-porosity flow coefficient have obvious influence on the oil well productivity. It is concluded that the oil well productivity increases with the increase of the ratio of matrix fracture pressure difference to production pressure difference and the inter-porosity flow coefficient. The study of dual porosity and single permeability productivity model of oil in dual medium reservoir has certain reference significance for in-depth analysis of the development law of tight reservoir and establishment of development countermeasures.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingjing Jiang, Fuquan Song, Jiajia Xiao, and Guanghao Liu "The productivity model of oil of fractural dual-media", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 1216003 (11 March 2022); https://doi.org/10.1117/12.2628067
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KEYWORDS
Fractal analysis

Lithium

Mathematical modeling

Differential equations

Krypton

Liquids

Mechanics

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