Fractal Analysis in Unconventional Reservoirs: Theory and Applications
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 226
Special Issue Editors
Interests: geological evaluation of unconventional reservoirs; experimental petrophysical characterization of complex reservoirs
Interests: reservoir characterization and modeling; AI-based geological interpretation
Special Issue Information
Dear Colleagues,
The study of unconventional reservoirs has emerged as a critical frontier in energy exploration and development, driven by the unique challenges posed by their complex and heterogeneous pore structures. Fractal theory, with its ability to quantify irregular and self-similar patterns across multiple scales, has become an indispensable tool for characterizing the pore structure of unconventional reservoirs. By integrating fractal mathematics with advanced pore structure analysis techniques, researchers are gaining unprecedented insights into the connectivity, permeability, and fluid storage mechanisms of unconventional reservoirs—from shale and tight sandstones to coalbed methane formations. These advancements not only enhance our understanding of reservoir behavior but also play a pivotal role in evaluating reservoir quality, optimizing hydrocarbon recovery strategies, and reducing environmental risks associated with extraction processes.
The focus of this Special Issue is to showcase cutting-edge research that advances the theory, methodology, and application of fractal characterization and pore structure analysis in unconventional reservoirs. We aim to bring together interdisciplinary studies that bridge mathematics, geology, petroleum engineering, and material science, providing a comprehensive platform for exchanging innovative ideas and technical breakthroughs.
Dr. Dianshi Xiao
Dr. Xixin Wang
Dr. Nengwu Zhou
Guest Editors
Manuscript Submission Information
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Keywords
- fractal models for quantifying pore size distribution and surface roughness
- multiscale pore structure analysis using fractal theory
- fractal-based permeability and fluid flow simulation in low-permeability
- correlation between fractal dimensions and reservoir properties (e.g., porosity, oiliness)
- machine learning integrated with fractal analysis for reservoir classification and evaluation
- fractal characterization of diagenetic processes and their impact on pore evolution
- application of fractal theory in enhanced oil recovery (EOR) techniques for unconventional resources
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