Hydraulic Fracturing and Reservoir Simulation Modeling in Shale, Tight, and Ultra-Low Permeability Gas Reservoirs
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".
Deadline for manuscript submissions: 25 July 2025 | Viewed by 563
Special Issue Editors
Interests: numerical method; reservoir simulation; machine learning; flow and transport in porous media
Special Issue Information
Dear Colleagues,
With advancements in primary energy resource extraction technology, the production of natural gas from shale, tight, and ultra-low permeability reservoirs has significantly increased over the past two decades. This has led to an abundant natural gas supply, positively impacting availability and consumer prices, while also providing environmental benefits through cleaner energy sources. However, the production of gas from such reservoirs strongly relies on hydraulic fracturing techniques to achieve the most economic production, introducing more challenges, uncertainties, and environmental concerns. Considering the recent technological improvements such as proppant technology, fracturing fluids, geosteering and monitoring, as well as data science, artificial intelligence (AI), and machine learning (ML) technologies, this Special Issue aims to disseminate the most recent advances in hydraulic fracturing technology and shale gas reservoir modeling.
Potential topics of interest include, but are not limited to, the following:
- Analytical and numerical modeling for hydraulic fracturing simulation and optimization;
- Fracture characterization and monitoring (e.g., microseismic and fiber-optic enabled monitoring);
- Refracturing and infill well fracturing;
- Imbibition and flow back of fracturing fluid;
- Mathematical modeling of complex fracture networks;
- Numerical simulation and optimization of shale gas reservoirs;
- Uncertainty quantification and risk analysis;
- Machine Learning applications and data-driven models;
- Geomechanical and geochemical aspects and impacts;
- Economics, safety, and environmental considerations.
Dr. Yin Feng
Prof. Dr. Boyun Guo
Guest Editors
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Keywords
- ultra-low permeability reservoirs
- hydraulic fracturing
- machine learning
- fracture network
- fracture fluids
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