TY - GEN
T1 - Improved characterization of transition zones in carbonate reservoir by modern digital imaging technique
AU - Sun, Huafeng
AU - Belhaj, Hadi
AU - Bera, Achinta
N1 - Funding Information:
The authors appreciate the Abu Dhabi National Oil Company (ADNOC) for funding and supporting this project (RDProj.084-RCM). Authors also gratefully acknowledge the Department of Petroleum Engineering of Khalifa University, Sas Al Nakhl Campus, Abu Dhabi, UAE for hosting the project. The authors also appreciate all the project team members for their help.
Publisher Copyright:
© Copyright 2018, Society of Petroleum Engineers.
PY - 2019
Y1 - 2019
N2 - Transition zone (TZ) containing a large amount of oil plays a key role in a carbonate reservoir. Its characterization is challenging because it is difficult to define top and thickness of the transition zone and it may contain many kinds of rock types differently affecting the fluid flow behavior. Routine core analysis (RCA) and special core analysis (SCAL) can be used to study for characterizaiton and modeling of TZs, but these data can rarely be used to obtain the details of the pore structure governing the rock properties. In recent years, the digital imaging technique has made great progress, because the rock microstructures can be directly imaged by using modern digital imaging technique such as thin sections (TS), scanning electron microscope (SEM) images and X-Ray computed tomography (XCT) scans. This paper focuses on the application of digital imaging technique for characterization of TZs in carbonate reservoirs located within the Middle East region. The experimental data and digital imaging data are used to study the rock samples of TZ. The results show that: 1) the rock properties of TZ samples can be accurately predicted by using digital imaging technique; 2) the petrography and diagenesis of TZ are well studied; 3) the carbonate rocks are qualitatively and quantitatively classified into three types: matrix, fractured and vuggy; 4) digital imaging technique, generally, proves to be a powerful tool for characterization of TZs in carbonate reservoirs.
AB - Transition zone (TZ) containing a large amount of oil plays a key role in a carbonate reservoir. Its characterization is challenging because it is difficult to define top and thickness of the transition zone and it may contain many kinds of rock types differently affecting the fluid flow behavior. Routine core analysis (RCA) and special core analysis (SCAL) can be used to study for characterizaiton and modeling of TZs, but these data can rarely be used to obtain the details of the pore structure governing the rock properties. In recent years, the digital imaging technique has made great progress, because the rock microstructures can be directly imaged by using modern digital imaging technique such as thin sections (TS), scanning electron microscope (SEM) images and X-Ray computed tomography (XCT) scans. This paper focuses on the application of digital imaging technique for characterization of TZs in carbonate reservoirs located within the Middle East region. The experimental data and digital imaging data are used to study the rock samples of TZ. The results show that: 1) the rock properties of TZ samples can be accurately predicted by using digital imaging technique; 2) the petrography and diagenesis of TZ are well studied; 3) the carbonate rocks are qualitatively and quantitatively classified into three types: matrix, fractured and vuggy; 4) digital imaging technique, generally, proves to be a powerful tool for characterization of TZs in carbonate reservoirs.
UR - https://www.scopus.com/pages/publications/85059979523
M3 - Conference contribution
AN - SCOPUS:85059979523
T3 - Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018
BT - Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018
T2 - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018
Y2 - 12 November 2018 through 15 November 2018
ER -