Special Issue "Evaluation of Geomechanical Characteristics"
Deadline for manuscript submissions: 30 November 2020.
Interests: computational and experimental geomechanics; multiphase flow through porous media
It is our pleasure to announce the opening of a Special Issue on the evaluation of geomechanical characteristics in the Applied Sciences journal. Recently, geomechanics has become a major research topic in the geosciences area due to its role in hydrocarbon recovery, underground waste disposal, groundwater pumping, geothermal energy extraction, and geologic carbon sequestration. Problems of fluid-induced seismicity, hydraulic and thermal stimulation of rocks, enhanced oil/gas recovery from fractured or unconsolidated rocks, and ground subsidence or uplift cannot be solved without recourse to the concepts of geomechanics. One of the requirements for applying these concepts to a real subsurface site is that we understand the geomechanical characteristics of the rock that makes up the reservoir/caprock system and dictate its strength and failure response under thermo-hydromechanical loads. These characteristics often depend on geologic structure and mineralogic composition of the rock across nano–micro–macro scales. Recent advances in optical, acoustic, electrical, and mechanical testing and measurements have enabled higher resolution and more accurate characterization of geomechanical properties and processes in the lab and in wells. Application of machine learning methods on noisy and/or big datasets from lab and field measurements or computer simulations has shown promise in improving the structural and functional characterization of geomaterials.
This Special Issue is aimed at encouraging and publishing cutting-edge research in these areas. Some of the topics relevant for this issue include the following:
- Effect of pore fluid type and properties on strength and failure response of geomaterials under various thermo-hydromechanical loads;
- Recent advances in optical imaging and image correlation and tracking for stress and deformation mapping;
- Active and passive acoustic monitoring with transmitted and reflected waves;
- Electrical and electromagnetic characterization of porous structure and poroelastic properties;
- Numerical modeling and simulation of acoustic/electrical/mechanical processes relevant for property measurement;
- Relation between length/time scales of measurement and geomechanical properties;
- Application of machine learning methods to process measured/simulated data to infer or estimate geomechanical properties.
We look forward to receiving and publishing your research contributions in these and similar areas.
Dr. Birendra Jha
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- acoustic monitoring
- experimental geomechanics
- digital image correlation
- numerical modeling
- multiscale properties
- electrical logging
- resistivity imaging
- fracture mapping
- mechanical testing
- machine learning