Premium
Semi‐Analytical Modeling of Rate‐Dependent Relative Permeability in Heterogeneous Formations
Author(s) -
Moreno Ziv,
AntoDarkwah Evans,
Rabinovich Avinoam
Publication year - 2021
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2021wr029710
Subject(s) - relative permeability , permeability (electromagnetism) , porous medium , volumetric flow rate , petroleum engineering , porosity , flow (mathematics) , mechanics , biological system , soil science , range (aeronautics) , materials science , geology , geotechnical engineering , chemistry , physics , biochemistry , membrane , biology , composite material
Relative permeability ( k r ) is an important property characterizing multi‐phase flow in porous media, in particular considering applications of oil and gas production or CO 2 storage in subsurface formations. Coreflooding experiments are the most common method of determining k r , usually conducted at a given total injection rate. However, k r is known to be a rate dependent effective property due to capillary heterogeneity effects and therefore full characterization requires conducting experiments at different flow rates, a complex and time consuming process. This work presents a new approach for calculating rate dependent effective k r curves based on a 1D semi‐analytical solution for steady state flow. The method entails calibrating a 1D permeability structure to represent the 3D flow of coreflooding experiments. Then, the calibrated 1D model is used to estimate k r curves at varying rates. We apply the method to three cases, two synthetic and one based on experimental data. Results show applicability for a wide range of flow rates.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom