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An analysis of fractal dimension and tortuosity based on 2D numerical reconstruction model of reservoir rocks

Luo Liang, Jin Jiahong, Wei Wei and Cai Jianchao
An analysis of fractal dimension and tortuosity based on 2D numerical reconstruction model of reservoir rocks
Interpretation (Tulsa) (August 2019) 7 (4): SJ1-SJ6

Abstract

The microstructure of reservoir rocks plays an important role in oil and gas accumulation and production. We examine a universal method to evaluate these properties of rocks, such as pore tortuosity, matrix porosity, and connectivity, and we respectively construct a 2D numerical reconstruction rock model with different microstructure parameters by the Monte Carlo method and the quartet structure generation set method. We further study the heterogeneity (characterized by fractal dimension and tortuosity) of the constructed image for reservoir rocks by the numerical and theoretical analysis and obtain the formulas for fractal dimension and tortuosity versus porosity. The simulation results show that the logarithmic relation is between the pore fractal dimension and porosity, and the relationship between tortuosity and porosity has the form of power. This process provided an important method to advance 2D reconstruction technology of reservoir rocks and effectively determine the relationship between microstructure and porosity.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 7
Serial Issue: 4
Title: An analysis of fractal dimension and tortuosity based on 2D numerical reconstruction model of reservoir rocks
Affiliation: Hunan Institute of Science and Technology, College of Physics and Electronics, Yueyang, China
Pages: SJ1-SJ6
Published: 20190824
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 32
Accession Number: 2019-095261
Categories: Economic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
Secondary Affiliation: China University of Geosciences, CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201950
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