Literature DB >> 27597789

Understanding hydraulic fracturing: a multi-scale problem.

J D Hyman1, J Jiménez-Martínez1, H S Viswanathan2, J W Carey1, M L Porter1, E Rougier1, S Karra1, Q Kang1, L Frash1, L Chen1, Z Lei1, D O'Malley1, N Makedonska1.   

Abstract

Despite the impact that hydraulic fracturing has had on the energy sector, the physical mechanisms that control its efficiency and environmental impacts remain poorly understood in part because the length scales involved range from nanometres to kilometres. We characterize flow and transport in shale formations across and between these scales using integrated computational, theoretical and experimental efforts/methods. At the field scale, we use discrete fracture network modelling to simulate production of a hydraulically fractured well from a fracture network that is based on the site characterization of a shale gas reservoir. At the core scale, we use triaxial fracture experiments and a finite-discrete element model to study dynamic fracture/crack propagation in low permeability shale. We use lattice Boltzmann pore-scale simulations and microfluidic experiments in both synthetic and shale rock micromodels to study pore-scale flow and transport phenomena, including multi-phase flow and fluids mixing. A mechanistic description and integration of these multiple scales is required for accurate predictions of production and the eventual optimization of hydrocarbon extraction from unconventional reservoirs. Finally, we discuss the potential of CO2 as an alternative working fluid, both in fracturing and re-stimulating activities, beyond its environmental advantages.This article is part of the themed issue 'Energy and the subsurface'.
© 2016 The Author(s).

Entities:  

Keywords:  discrete fracture network; hydraulic fracturing; lattice Boltzmann; microfluidics; shale gas; subsurface flow and transport

Year:  2016        PMID: 27597789      PMCID: PMC5014299          DOI: 10.1098/rsta.2015.0426

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  7 in total

1.  Mixing as an aggregation process.

Authors:  E Villermaux; J Duplat
Journal:  Phys Rev Lett       Date:  2003-10-31       Impact factor: 9.161

2.  Disruption of vertical motility by shear triggers formation of thin phytoplankton layers.

Authors:  William M Durham; John O Kessler; Roman Stocker
Journal:  Science       Date:  2009-02-20       Impact factor: 47.728

3.  Mixing and reaction kinetics in porous media: an experimental pore scale quantification.

Authors:  Pietro de Anna; Joaquin Jimenez-Martinez; Hervé Tabuteau; Regis Turuban; Tanguy Le Borgne; Morgane Derrien; Yves Méheust
Journal:  Environ Sci Technol       Date:  2013-12-06       Impact factor: 9.028

4.  Generalized lattice Boltzmann model for flow through tight porous media with Klinkenberg's effect.

Authors:  Li Chen; Wenzhen Fang; Qinjun Kang; Jeffrey De'Haven Hyman; Hari S Viswanathan; Wen-Quan Tao
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-03-03

5.  Where Does Water Go During Hydraulic Fracturing?

Authors:  D O'Malley; S Karra; R P Currier; N Makedonska; J D Hyman; H S Viswanathan
Journal:  Ground Water       Date:  2015-10-15       Impact factor: 2.671

6.  Geo-material microfluidics at reservoir conditions for subsurface energy resource applications.

Authors:  Mark L Porter; Joaquín Jiménez-Martínez; Ricardo Martinez; Quinn McCulloch; J William Carey; Hari S Viswanathan
Journal:  Lab Chip       Date:  2015-09-02       Impact factor: 6.799

7.  Nanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity.

Authors:  Li Chen; Lei Zhang; Qinjun Kang; Hari S Viswanathan; Jun Yao; Wenquan Tao
Journal:  Sci Rep       Date:  2015-01-28       Impact factor: 4.379

  7 in total
  2 in total

1.  Introduction: energy and the subsurface.

Authors:  Ivan C Christov; Hari S Viswanathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-13       Impact factor: 4.226

2.  Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning.

Authors:  Gowri Srinivasan; Jeffrey D Hyman; David A Osthus; Bryan A Moore; Daniel O'Malley; Satish Karra; Esteban Rougier; Aric A Hagberg; Abigail Hunter; Hari S Viswanathan
Journal:  Sci Rep       Date:  2018-08-03       Impact factor: 4.379

  2 in total

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