TY - GEN
T1 - Digital rock analysis
T2 - 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
AU - Dejia, D.
AU - Sun, H.
AU - Belhaj, H.
AU - Bera, A.
AU - Liu, L.
AU - Tao, G.
AU - Nizamuddi, S.
N1 - Funding Information:
The authors appreciate ADNOC (Abu Dhabi National Oil Company) and the ADNOC R&D Oil-Subcommittee for funding and supporting this project (RDProj.084-RCM). The authors, also, thank KUST (Khalifa University of Science and Technology) and CUPB (China University of Petroleum-Beijing) for using their facilities.
Publisher Copyright:
© 2018 Society of Petroleum Engineers. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The capillary transition zone (TZ) in carbonate reservoirs can contain large amounts of oil and it is essential to predict saturation profile versus depth to estimate the oil in place volumes in order to design oil recovery schemes. However, the characterization of TZ is extremely difficult because it may vary in thickness from a few feet in high permeability reservoirs to over hundreds of feet in some low permeability, thick and tight reservoirs. Previous works mainly focused on lab measurements which can provide, relatively, accurate rock properties for reservoir study, but from the lab, three-dimensional (3D) information on rock microstructures hardly can be known, which is very important for a better understanding of physical phenomena. Digital rock analysis (DRA) can directly image rock microstructures and accurately predict rock properties. Therefore, it can be used to better characterize the heterogeneity and the rock properties of TZ samples. In this paper, we use lab measurements and rock images, including thin section (TS) images and scanning electron microscope (SEM) images, Micro computed tomography (MCT) scans, to characterize the heterogeneity and estimate TZ rock properties. By analyzing these rock images, lab measurements and simulations, the heterogeneity and rock properties of TZ are well characterized.
AB - The capillary transition zone (TZ) in carbonate reservoirs can contain large amounts of oil and it is essential to predict saturation profile versus depth to estimate the oil in place volumes in order to design oil recovery schemes. However, the characterization of TZ is extremely difficult because it may vary in thickness from a few feet in high permeability reservoirs to over hundreds of feet in some low permeability, thick and tight reservoirs. Previous works mainly focused on lab measurements which can provide, relatively, accurate rock properties for reservoir study, but from the lab, three-dimensional (3D) information on rock microstructures hardly can be known, which is very important for a better understanding of physical phenomena. Digital rock analysis (DRA) can directly image rock microstructures and accurately predict rock properties. Therefore, it can be used to better characterize the heterogeneity and the rock properties of TZ samples. In this paper, we use lab measurements and rock images, including thin section (TS) images and scanning electron microscope (SEM) images, Micro computed tomography (MCT) scans, to characterize the heterogeneity and estimate TZ rock properties. By analyzing these rock images, lab measurements and simulations, the heterogeneity and rock properties of TZ are well characterized.
UR - http://www.scopus.com/inward/record.url?scp=85083936430&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85083936430
T3 - 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
BT - 80th EAGE Conference and Exhibition 2018
Y2 - 11 June 2018 through 14 June 2018
ER -