MR012
Digital Rock Physics: State-of-the-Art Numerical Modelling of Laboratory Experiments

Session ID#: 76374

Session Description:
Although expensive and time consuming, laboratory measurements are commonly used to calibrate geophysical methods. Common geophysical methods can record seismic, gravity, or electromagnetic signals.  These data are collected with the intent to estimate rock or fluid properties in the subsurface. Estimations are more accurate if we understand how changes in rock or fluid properties affect our measured geophysical signals.

A novel approach to calibration relies on digital rock physics (DRP), which instead involves performing numerical experiments on digital samples. This consists of two parts: constructing a digital sample, and then using it to estimate properties by means of numerical simulations.   This field is rapidly evolving. The goal of the session is to gather the state-of-the-art modelling techniques and DRP methods with an emphasis on benchmarking between laboratory measurements and numerical modelling. We encourage participants to publish their benchmarks on https://www.digitalrocksportal.org for open source access.

Index Terms:

0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
1846 Model calibration [HYDROLOGY]
5114 Permeability and porosity [PHYSICAL PROPERTIES OF ROCKS]
5194 Instruments and techniques [PHYSICAL PROPERTIES OF ROCKS]


Primary Convener:  Eric J Goldfarb, Jackson School of Geosciences: The University of Texas at Austin, Austin, TX, United States
Conveners:  Nicola Tisato, Jackson School of Geosciences: The University of Texas at Austin, Austin, TX, United States, Masa Prodanovic, The University of Texas at Austin, Hildebrand Department of Petroleum and Geosystems Engineering, Austin, TX, United States and Sean P S Gulick, The University of Texas at Austin, Institute for Geophysics & Department of Geological Sciences, Austin, TX, United States
Primary Liaison:  Ken Ikeda, Jackson School of Geosciences: The University of Texas at Austin, Austin, TX, United States
 
Fractal Dimensions Based on Different Statistical Objects of Digital Rock Calculated by Box Counting Method (485697)
Xiaobin Li, China University of Geosciences Wuhan, Wuhan, China and Jiangping Liu, China University of Geosciences Wuhan, Institute of Geophysics and Geomatics, Wuhan, China
 
Permeability-Porosity Relations from Single Image of Natural Rock: Subsampling Approach (Invited) (486210)
Jack P Dvorkin, King Fahd University of Petroleum & Minerals, CPG, Dhanran, Saudi Arabia
 
Combining 3D Printing to Digital Rock Physics to Improve Modeling in Carbonates Rocks (488979)
Mohamed Jouini, Khalifa University, Applied Mathematics, Abu Dhabi, United Arab Emirates
 
Dynamic Evolution of Permeability-Porosity Relationship Due to Earth Processes (Invited Paper 493627) (Invited) (493627)
Tiziana Vanorio, SRPL - Stanford Rock Physics Laboratory, Stanford University, Geophysics Department, Stanford, CA, United States
 
Three-Dimensional Image-Based Reservoir Pore Space Reconstruction: Spatial Resolution, Field of View and Heterogeneity (493672)
Xiao Feng1, Jianhui Zeng1, Hongbing Zhan2 and Qinhong Hu3, (1)China University of Petroleum, College of Geosciences, Beijing, China, (2)Texas A&M University, Texas, United States, (3)The University of Texas at Arlington, Arlington, TX, United States
 
Application of rock physics technology for 4D seismic monitoring of a siliciclastic reservoir in Offshore Niger Delta Basin. (510375)
Emmanuel A Titus, Texas A&M University College Station, College Station, TX, United States, John Ramon Onayemi, University of Lagos, Lagos, Nigeria and Ahmad Adeola Adeniji, University of Lagos, Department of Geosciences, Lagos, Nigeria
 
3D Grain Size Analysis from Microtomographic Images of the Brae Formation Sandstone, North Sea (515642)
Rory Ellis, Royal Holloway University of London, Egham, TW20, United Kingdom, Paul-Ross Thomson, Royal Holloway University of London, London, United Kingdom, Domenico Chiarella, Royal Holloway, University of London, Egham, United Kingdom and Saswata Hier-Majumder, University of Maryland, College Park, MD, United States; Royal Holloway University of London, Egham, United Kingdom
 
Quantifying Porosity through Automated Digital Image Processing Technology for Sedimentary Rock (568002)
Arnab Pal, Gorakhnath Nigam, Sajal Pachauri, Siddharth Garia, K Ravi and Archana M Nair, Indian Institute of Technology Guwahati, Civil Engineering, Guwahati, India
 
Visualization and data reuse via the Digital Rocks Portal (587893)
Masa Prodanovic, University of Texas at Austin, Austin, TX, United States, Maria Esteva, Research Associate/Data Curator, University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States and James E McClure, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
 
Determining the Pore Size Distribution of Rocks by Joint Inversion of NMR Data at Different Water Saturations (607315)
Norbert Klitzsch, RWTH Aachen University, Aachen, Germany and Thomas Hiller, LIAG, Hannover, Germany
 
Geomechanical Characterization of Geo-architectured Materials Using Gypsum-Based 3D Printing (616330)
Michelle Williams, Sandia National Laboratories, Albuquerque, NM, United States and Hongkyu Yoon, Sandia National Laboratories, Department of Geomechanics, Albuquerque, NM, United States
 
2D to 3D Geometrical Transform: Estimation of Material Properties from 2D Images (624044)
Juan Pablo Daza, Stanford Earth Sciences, Stanford, CA, United States and Amos M Nur, Stanford Univ, Stanford, CA, United States
 
Pore Space Estimation Using Optimized DRP Workflow in Complex Reservoirs (628045)
Shruti Malik, Indian Institute of Technology Roorkee, Roorkee, India, Ravi Sharma, Colorado School of Mines, Golden, CO, United States and Adithya Shashidhara Shettar, IIT Roorkee, Earth Sciences, Roorkee, India