Advancements in Geological Fluid Flow and Mechanical Properties

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2448

Special Issue Editors


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Guest Editor
Department of Mineralogy-Petrology-Economic Geology, Faculty of Sciences, School of Geology, Aristotle University of Thessaloniki, Thessaloníki, Greece
Interests: petroleum geomechanics; hydraulic fracturing; poroelastoplastic modeling; CO2 sequestration; hydrogen storage

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Guest Editor
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus
Interests: subsurface hydrology; steady-state and turbulent fluid mechanics; porous media modelling; stochastic modeling; erosion and sand production; hydro-mechanical coupling

Special Issue Information

Dear Colleagues,

This Special Issue aims to highlight recent advancements in the understanding and modeling of geological fluid flow and the advanced mechanical behavior of rocks under varying subsurface conditions. Subsurface environments are increasingly significant for applications such as carbon capture and storage, hydrogen storage, and geothermal energy. These processes involve complex interactions between fluid flow, rock deformation, and thermal or chemical effects, which require integrated, multidisciplinary approaches for effective characterization and prediction.

We welcome original research articles, comprehensive reviews, and high-quality case studies that explore experimental numerical and analytical modeling approaches to fluid transport and rock and fracture mechanics. Topics of interest include, but are not limited to, the following:

  • Applications in CO2 sequestration, hydrogen storage, petroleum recovery, geothermal energy, and geotechnical engineering.
  • Coupled hydro-mechanical and thermo-hydro-mechanical processes.
  • Multiphase and reactive fluid flow in porous and fractured media.
  • Fracture propagation, fault activation, and permeability evolution.
  • Experimental and numerical studies of rock mechanical behavior.
  • Machine learning and data-driven approaches in geo-fluid and rock mechanics.

The Special Issue seeks to provide a platform for geoscientists, engineers, and researchers to share innovative methodologies and findings that contribute to the advancement of knowledge in this field. By fostering cross-disciplinary dialog and collaboration, this Special Issue aims to support the development of more accurate predictive models and safer, more sustainable subsurface engineering practices.

Dr. Ernestos Sarris
Dr. Elias Gravanis
Guest Editors

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Keywords

  • CO2 sequestration
  • hydrogen storage
  • geological multiphase flows
  • experimental rock mechanics
  • hydro-mechanical coupling
  • thermo-hydro-mechanical processes
  • fluid driven fracture propagation
  • petroleum geomechanics
  • sand production prediction
  • poroelasticity and poroelastoplasticity
  • machine learning in geosciences
  • geothermal systems

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Published Papers (3 papers)

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Research

38 pages, 583 KB  
Article
Radon and Thoron in Volcanic, Tectonic, and Hydrothermal Systems: A Critical Synthesis and Reduced Inference Framework
by Sebastiano Ettore Spoto
Geosciences 2026, 16(5), 200; https://doi.org/10.3390/geosciences16050200 - 16 May 2026
Viewed by 212
Abstract
Radon (222Rn) and thoron (220Rn) are widely used to investigate diffuse degassing, fault-zone permeability, hydrothermal circulation, and subsurface unrest, but their signals are not direct proxies for a single process. This manuscript is a critical synthesis and methodological article [...] Read more.
Radon (222Rn) and thoron (220Rn) are widely used to investigate diffuse degassing, fault-zone permeability, hydrothermal circulation, and subsurface unrest, but their signals are not direct proxies for a single process. This manuscript is a critical synthesis and methodological article that develops a reduced inference framework for interpreting radon–thoron observations in volcanic, tectonic, and hydrothermal settings. The framework separates accessible support of the immediate radium parents 226Ra and 224Ra, recoil-scale release into the mobile phase, multiphase transport, geological carrier-gas throughput, and observational closure. It also distinguishes total activity flux from activity concentration and chamber throughput from natural carrier-gas dilution. Synthetic illustrative experiments test the internal behavior of the reduced operator; a concise re-reading of the public Upper Rhine Graben dataset illustrates the limits of concentration-only inference; and published volcanic and hydrothermal examples are used as literature-grounded vignettes. The purpose is not to validate a universal inversion model but to define what can be inferred from different observation packages. The paper, therefore, emphasizes three operational levels: anomaly reporting, mechanism discrimination, and local inversion. Full article
(This article belongs to the Special Issue Advancements in Geological Fluid Flow and Mechanical Properties)
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15 pages, 3251 KB  
Article
Subsurface Temperature Assessment: Improving Reliability of Deep Well Data
by Iva Kolenković Močilac, Marko Cvetković, Zrinka Stojanović and Anđela Papić
Geosciences 2026, 16(3), 126; https://doi.org/10.3390/geosciences16030126 - 18 Mar 2026
Viewed by 493
Abstract
Reliable subsurface temperature estimates are crucial for most geoenergy projects, as they directly influence the properties of both rocks and fluids. They are particularly important in geothermal energy exploration, where errors in estimating the static formation temperature (SFT) can lead to significant misinterpretations, [...] Read more.
Reliable subsurface temperature estimates are crucial for most geoenergy projects, as they directly influence the properties of both rocks and fluids. They are particularly important in geothermal energy exploration, where errors in estimating the static formation temperature (SFT) can lead to significant misinterpretations, potentially resulting in incorrect classification of the geothermal resource. Various corrections are applied to bottom-hole temperatures (BHTs), with the Horner correction being the most widely used. In addition, empirical methods have been developed to improve accuracy at the local scale. In this study, maximum temperature values (Tmax) reported for deep exploration wells in the Sava and Drava Basins were compared to both Horner-corrected temperatures (HPCTs) and those recorded during drill-stem tests (TDST). In both basins, Tmax values frequently significantly diverge from HPCT measurements, emphasizing the limited reliability of Tmax for estimating subsurface temperatures. In the Sava Basin, 61% of wells show Tmax-HPCT differences greater than 10 °C, and in seven wells the discrepancy exceeds 20 °C. Similarly, in the Drava Basin, nearly half of the wells exhibit differences greater than 10 °C, with five wells showing deviations above 20 °C. In most cases, the reported Tmax values do not represent true maxima, so the linear regression was performed between Tmax and temperatures obtained from DST measurements, providing a basis for refining subsurface temperature estimates. Full article
(This article belongs to the Special Issue Advancements in Geological Fluid Flow and Mechanical Properties)
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19 pages, 6432 KB  
Article
Storage and Production Aspects of Reservoir Fluids in Sedimentary Core Rocks
by Jumana Sharanik, Ernestos Sarris and Constantinos Hadjistassou
Geosciences 2025, 15(10), 386; https://doi.org/10.3390/geosciences15100386 - 3 Oct 2025
Cited by 1 | Viewed by 1072
Abstract
Understanding the fluid storage and production mechanisms in sedimentary rocks is vital for optimising natural gas extraction and subsurface resource management. This study applies high-resolution X-ray computed tomography (≈15 μm) to digitise rock samples from onshore Cyprus, producing digital rock models from DICOM [...] Read more.
Understanding the fluid storage and production mechanisms in sedimentary rocks is vital for optimising natural gas extraction and subsurface resource management. This study applies high-resolution X-ray computed tomography (≈15 μm) to digitise rock samples from onshore Cyprus, producing digital rock models from DICOM images. The workflow, including digitisation, numerical simulation of natural gas flow, and experimental validation, demonstrates strong agreement between digital and laboratory-measured porosity, confirming the methods’ reliability. Synthetic sand packs generated via particle-based modelling provide further insight into the gas storage mechanisms. A linear porosity–permeability relationship was observed, with porosity increasing from 0 to 35% and permeability from 0 to 3.34 mD. Permeability proved critical for production, as a rise from 1.5 to 3 mD nearly doubled the gas flow rate (14 to 30 fm3/s). Grain morphology also influenced gas storage. Increasing roundness enhanced porosity from 0.30 to 0.41, boosting stored gas volume by 47.6% to 42 fm3. Although based on Cyprus retrieved samples, the methodology is applicable to sedimentary formations elsewhere. The findings have implications for enhanced oil recovery, CO2 sequestration, hydrogen storage, and groundwater extraction. This work highlights digital rock physics as a scalable technology for investigating transport behaviour in porous media and improving characterisation of complex sedimentary reservoirs. Full article
(This article belongs to the Special Issue Advancements in Geological Fluid Flow and Mechanical Properties)
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