TY - JOUR
T1 - Determination of Two-phase Relative Permeability from a Displacement with Safman-Rayleigh Instability Using a Coarse-Scale Model History Matching Approach
AU - Taura, Usman H.
AU - Mahzari, Pedram
AU - Sohrabi, Mehran
AU - Al-Wahaibi, Yahya
AU - Farzaneh, Sayyed Amir
N1 - Funding Information:
This work was carried out as a part of the Non-Thermal Enhanced Heavy Oil Recovery joint industry project (JIP) in the Centre for Enhanced Oil Recovery and CO Solutions of the Institute of Petroleum Engineering at Heriot-Watt University. The project was equally funded by Total E&P, ConocoPhillips, CONACyT-SENERHidrocarburos-Mexico, Pemex, Wintershall, and Eni, which is gratefully acknowledged. Many thanks to CMG for the use of their software suite. Usman Taura thanks the Petroleum Technology Development fund, Nigeria for the financial assistance for this work. 2
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/10
Y1 - 2022/10
N2 - In heavy oil displacement by fluid injection, severe instability can occur due to the adverse mobility ratio, gravity segregation or compositional effects. However, when estimating relative permeability, most analytical methods assume a stable front in the displacement, which may be highly erroneous when used with unstable displacements. Quite often in such cases, history matching using a high-resolution model is preferred, however, it is computationally inefficient or impractical in some cases. This work describes a relatively fast methodology for estimating relative permeability from displacement with instability and compositional effect. It involves defining a set of 2-dimensional (2D) coarse-grid models and the tuning of a three-parameter correlation. By this approach, an attempt is made to resolve the fine-scale information without direct solution of the global fine-scale problem. The results of the coarse-grid history matching corrected by the proposed approach in this study showed that the improved methodology is three times faster, and required less than half the memory of a high-resolution 2D model.
AB - In heavy oil displacement by fluid injection, severe instability can occur due to the adverse mobility ratio, gravity segregation or compositional effects. However, when estimating relative permeability, most analytical methods assume a stable front in the displacement, which may be highly erroneous when used with unstable displacements. Quite often in such cases, history matching using a high-resolution model is preferred, however, it is computationally inefficient or impractical in some cases. This work describes a relatively fast methodology for estimating relative permeability from displacement with instability and compositional effect. It involves defining a set of 2-dimensional (2D) coarse-grid models and the tuning of a three-parameter correlation. By this approach, an attempt is made to resolve the fine-scale information without direct solution of the global fine-scale problem. The results of the coarse-grid history matching corrected by the proposed approach in this study showed that the improved methodology is three times faster, and required less than half the memory of a high-resolution 2D model.
KW - Coarse-scale
KW - History matching
KW - Instability
KW - Relative permeability
UR - http://www.scopus.com/inward/record.url?scp=85131100378&partnerID=8YFLogxK
U2 - 10.1007/s10596-022-10157-3
DO - 10.1007/s10596-022-10157-3
M3 - Article
AN - SCOPUS:85131100378
SN - 1420-0597
VL - 26
SP - 1207
EP - 1222
JO - Computational Geosciences
JF - Computational Geosciences
IS - 5
ER -