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Accurate early‐time and late‐time modeling of countercurrent spontaneous imbibition
Author(s) -
March Rafael,
Doster Florian,
Geiger Sebastian
Publication year - 2016
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 - 10.1002/2015wr018456
Subject(s) - imbibition , porous medium , countercurrent exchange , mechanics , compressibility , process (computing) , porosity , petroleum engineering , geology , mathematics , materials science , geotechnical engineering , thermodynamics , physics , computer science , botany , germination , biology , operating system
Spontaneous countercurrent imbibition into a finite porous medium is an important physical mechanism for many applications, included but not limited to irrigation, CO 2 storage, and oil recovery. Symmetry considerations that are often valid in fractured porous media allow us to study the process in a one‐dimensional domain. In 1‐D, for incompressible fluids and homogeneous rocks, the onset of imbibition can be captured by self‐similar solutions and the imbibed volume scales witht . At later times, the imbibition rate decreases and the finite size of the medium has to be taken into account. This requires numerical solutions. Here we present a new approach to approximate the whole imbibition process semianalytically. The onset is captured by a semianalytical solution. We also provide an a priori estimate of the time until which the imbibed volume scales witht . This time is significantly longer than the time it takes until the imbibition front reaches the model boundary. The remainder of the imbibition process is obtained from a self‐similarity solution. We test our approach against numerical solutions that employ parametrizations relevant for oil recovery and CO 2 sequestration. We show that this concept improves common first‐order approaches that heavily underestimate early‐time behavior and note that it can be readily included into dual‐porosity models.

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