MR023
Physics of Fluids in Unconventional Reservoir Rocks II Posters

Wednesday, 16 December 2020: 04:00-20:59
Poster
Primary Convener:  Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States
Conveners:  Feng Liang, Aramco Research Center, Houston, United States and Jianchao Cai, China University of Geosciences Wuhan, Wuhan, China
Primary Liaison:  Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States
Chairs:  Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States, Feng Liang, Aramco Services Company: Aramco Research Center - Houston, Houston, TX, United States and Jianchao Cai, China University of Geosciences Wuhan, Wuhan, China
OSPA Liaison:  Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States
 
Impact of Shale softening on Permeability (662439)
Liming Hu1, Di Zhang2, Jay Meegoda2, Bruno Goncalves da Silva3 and Xinghao Zhang1, (1)Tsinghua University, Hydraulic Engineering, Beijing, China, (2)New Jersey Institute of Technology, civil engineering, Newark, NJ, United States, (3)New Jersey Institute of Technology, Edison, NJ, United States
 
A new approach for two-phase rock typing: Evaluation with pore network simulations (673036)
Brandon Yokeley, Kansas State University, Manhattan, KS, United States, Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States and Muhammad Sahimi, University of Southern California, Los Angeles, CA, United States
 
A Physics-Constrained Machine Learning (PCML) Method for Predicting Production from Unconventional Reservoirs: An Introduction (665864)
H-H Liu1, Mustafa Basri2, Rabah Mesdour2, Jilin Zhang1 and Cenk Temizel2, (1)Aramco Research Center, Houston, United States, (2)Saudi Aramco, Dhahran, Saudi Arabia
 
Application of machine learning for predicting gas reservoir recovery factor (675626)
Alireza Roustazadeh, Kansas State University, Manhattan, KS, United States, Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States, Mohammad B Shadmand, Kansas State University, electrical engineering, Manhattan, KS, United States, Vahid Taslimitehrani, Realtor.com, Santa Clara, United States and Larry W Lake, University of Texas at Austin, Austin, TX, United States
 
Atomic Force Microscopy (AFM) vs. Nanoindentation: What is Their Difference on Measuring Mechanical Properties? A Case Study on Organic-Rich Shale (746899)
Lingyun Kong, University of North Dakota, Department of Petroleum Engineering, Grand Forks, ND, United States, Mehdi Ostadhassan, Northeast Petroleum University, Key Laboratory of Continental Shelf Accumulation and Efficient Development, Ministry of Education, Daqing, China, Chunxiao Li, University of North Dakota, Harold Hamm School of Geology and Geological Engineering, Grand Forks, ND, United States and Hyeonseok Lee, University of North Dakota, Department of Petroleum Engineering, Grand Forks, United States
 
Brittleness estimation and mineralogical analysis for evaluation of fracturability: Application to the Cambay Shale, Gujarat, India (677506)
Sanjukta De and Debashish Sengupta, Indian Institute of Technology Kharagpur, Department of Geology and Geophysics, Kharagpur, India
 
Characterization of porosity structure in a biogenic gas shale - the Antrim Formation in the Michigan Basin (704133)
Adedoyin Adeyilola1, Natalia V Zakharova1, Kouqi Liu1, Thomas Gentzis2 and Humberto Carvajal-Ortiz2, (1)Central Michigan University, Earth and Atmospheric Sciences, Mount Pleasant, MI, United States, (2)Core Laboratories, Reservoir Group, Houston, TX, United States
 
Determining effective permeability at the reservoir scale: Numerical simulations compared with critical path analysis (676151)
Barnabas Adeyemi, Kansas State University, Manhattan, KS, United States, Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States and C. L. Winter, University of Arizona, Tucson, United States
 
Estimating the scale dependence of permeability and formation factor in heterogeneous porous media (676135)
Misagh Esmaeilpour, Kansas State University, Manhattan, KS, United States and Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States
 
Estimation of Total Organic Carbon and Brittleness from Shale Rock Physics Properties Using Machine Learning Methods (665490)
Jaewook Lee, University of Texas at Dallas, Richardson, TX, United States and David E Lumley, University of Texas at Dallas, Geoscience, Richardson, TX, United States
 
Evolution of Sandstone Properties Undergoing Cyclic Hydrostatic Loading (714062)
William M Kibikas1,2 and Stephen J Bauer2, (1)University of Oklahoma Norman Campus, School of Geosciences, Norman, OK, United States, (2)Sandia National Laboratories, Albuquerque, NM, United States
 
Oil Distribution Characteristics for Tight oil Sandstone Cores in the Spontaneous Imbibition plus Waterflooding and Waterflooding-only using Nuclear Magnetic Resonance (688406)
Wenlian Xiao1, Yubin Yang2, Min Li3, Yang Wang4, Xiaoying Zhou4, Jitian Ren3, Jinzhou Zhao2 and Lingli Zheng2, (1)SWPU Southwest Petroleum University, Chengdu, China, (2)Southwest Petroleum University, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu, China, (3)Southwest Petroleum University, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, China, (4)Petro China Changqing Oilfield Company, Xi'an, China
 
Pore-scale Numerical Study of Spontaneous Imbibition in 3D Granular Porous Media under Different Boundary Conditions (723923)
Yang Liu, Jianchao Cai and Ziang He, China University of Geosciences Wuhan, Wuhan, China
 
The impact of spatial variation and correlation length of wettability on scCO2-brine immiscible displacement in 3D porous media (678865)
Ruichang Guo1, Laura Dalton2, Ming Fan3, James E McClure3, Lingzao Zeng4, Dustin Crandall5 and Cheng Chen3, (1)Blacksburg, Virginia, United States, (2)National Energy Technology Laboratory, Morgantown, United States, (3)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, (4)Zhejiang University, College of Environmental and Resource Sciences, Hangzhou, China, (5)National Energy Technology Laboratory Pittsburgh, Pittsburgh, PA, United States
 
Upscaling fluid flow in reservoir rocks: Applications from critical path analysis (668760)
Behzad Ghanbarian, Kansas State University, Geology, Manhattan, KS, United States