Recent Advances and Applications of Digital Rock Physics

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geophysics".

Deadline for manuscript submissions: closed (30 December 2020) | Viewed by 2121

Special Issue Editor


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Guest Editor
Institute of Petroleum Geology and Geophysics, Siberian Branch, Russian Academy of Sciences, 3 Koptug pr., 630090 Novosibirsk, Russia
Interests: digital rock physics; seismic modeling; numerical methods; discrete elements method; computatioanl fluid dynamics; computatioanl chemistry; fluid–solid interaction

Special Issue Information

Dear Colleagues,

Digital rock physics studies are becoming a common practice in enhanced oil recovery, seismic exploration, geothermal energy exploration, CO2 sequestration and others. Numerical simulation of various physical and chemical processes in rock sample models allows for the upscaling of rock properties, such as electric resistivity, hydraulic permeability, either absolute or relative, elastic moduli, etc. Moreover, DRP allows for the testing of different scenarios of reservoir flooding, varying fluid properties (use of surfactants, nanoparticles and others) and changing the salinity of the fluid. CO2 sequestration or the injection of non-condensable gases into geothermal fields causes rock matrix dissolution or mineral precipitation, changing all macroscopic properties of rocks, thus requiring detailed preliminary numerical study before applying this to real aquifers.

Digital rock physics deals with all known physical processes, including coupled non-linear problems at several spatial and temporal scales. Thus, a wide range of mathematical models and numerical methods are used. At the scale of micrometers, continuum-based models can be applied (Stokes, Navier–Stokes, Maxwell equations) with the use of grid-based numerical methods such as finite volumes, finite differences, finite elements, or discontinuous Galerkin. At the nanoscale, particle-based models and numerical methods dominate, for example, the molecular dynamics used to estimate contact angles or to directly simulate the fluid flow in nanopores. Note that the rapid development of Graphic Processor Units made it possible to perform DRP simulations using a single or a small number of GPUs, thus allowing for the use of DRP methods in any lab.

In this Special Issue, we invite researchers from different areas of digital rock physics to share their experience of image processing, mathematical modeling of physical and chemical processes at the pore scale, and numerical methods capable of dealing with strongly inhomogeneous models with the complex geometry of the pore space and rock matrix.

Dr. Vadim Lisitsa
Guest Editor

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Keywords

  • • digital rock physics
  • • pore-scale modeling
  • • fluid flows in micro- and nano-channels
  • • electric currents in rocks
  • • petro-elastic simulations
  • • rock dissolution and mineral precipitation
  • • CO2 sequestration
  • • non-condensable gases in geothermal fields

Published Papers (1 paper)

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Research

14 pages, 606 KiB  
Article
Proposed Model for Shale Compaction Kinetics
by James Edward Smith and Edward Millard Smith-Rowland
Geosciences 2021, 11(3), 137; https://doi.org/10.3390/geosciences11030137 - 15 Mar 2021
Viewed by 1714
Abstract
Shales are the most abundant class of sedimentary rocks, distinguished by being very fine-grained, clayey, and compressible. Their physical and chemical properties are important in widely different enterprises such as civil engineering, ceramics, and petroleum exploration. One characteristic, which is studied here, is [...] Read more.
Shales are the most abundant class of sedimentary rocks, distinguished by being very fine-grained, clayey, and compressible. Their physical and chemical properties are important in widely different enterprises such as civil engineering, ceramics, and petroleum exploration. One characteristic, which is studied here, is a systematic reduction of porosity with depth of burial. This is due increases in grain-to-grain stress and temperature. Vertical stress in sediments is given by the overburden less the pore fluid pressure, σ, divided by the fraction of the horizontal area which is the supporting matrix, (1φ), where φ is the porosity. It is proposed that the fractional reduction of this ratio, Λ, with time is given by the product of φ4m/3, (1φ)4n/3, and one or more Arrhenius functions Aexp(E/RT) with m and n close to 1. This proposal is tested for shale sections in six wells from around the world for which porosity-depth data are available. Good agreement is obtained above 30–40 °C and fractional porosities less than 0.5. Single activation energies for each well are obtained in the range 15–33 kJ/mole, close to the approximate pressure solution of quartz, 24 kJ/mol. Values of m and n are in the range 1 to 0.8, indicating nearly fractal water-wet pore-to-matrix interfaces at pressure solution locations. Results are independent of over- or under-pressure of pore water. This model attempts to explain shale compaction quantitatively. For the petoleum industry, given porosity-depth data for uneroded sections and accurate activation energy, E, paleo-geothermal-gradient can be inferred and from that organic maturity, indicating better drilling prospects. Full article
(This article belongs to the Special Issue Recent Advances and Applications of Digital Rock Physics)
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