Irreducible water distribution in sandstone rock: Two phase flow simulations in CT-based pore network |
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| Institution: | 1. State Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, China;2. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology in Beijing, China;3. Institute of Rock and Soil Mechanics, Chinese Academy of Science, China;4. School of Mechanical and Chemical Engineering, The University of Western Australia, Australia;5. IRC for Unconventional Geomechanics, Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, China;1. School of Mathematical Sciences, Qufu Normal University, Qufu 273165, China;2. School of Mathematics, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | A simple cutoff approach based on the capillary bundle model has become an industrial standard method to quickly obtain the irreducible water saturation from NMR T2 distribution. However this approach is not always valid. To overcome the shortcoming of the capillary bundle model that ignores pore-pore connectivity, we have conducted a two-phase flow simulation in a CT-based pore network. The CT -based pore network is a representation of a real rock pore structure that is described by a binary X-ray tomographic data set. Simulation on such network mimics a process of the porous plate measurement. The generated capillary curve is quite reasonable. The oil accession distributions at different water saturations plotted as a function of pore size provide an insight for the immiscible displacement process in the real rock pore structure. Water is trapped not only in dead ends but also in the well-connected pores due to a pore level by-pass mechanism. At the capillary end point pressure, a plot of the trapped water distribution as a function of pore size has the same lognormal distribution as the pore size distribution, which is much different from what the simple capillary bundle model suggests. |
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