A hybrid method to segment the pores and throats of micromodels
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ORIGINAL PAPER
A hybrid method to segment the pores and throats of micromodelsA hybrid method to segment the pores and throats of micromodels Bei Wei 1,2 & Jian Hou 1,2,3 & Zhongqing Lei 4 & Huiyu Wang 1,2 Received: 3 April 2019 / Accepted: 30 October 2019 # Saudi Society for Geosciences 2019
Abstract Micromodels made of silicon wafer are widely used in microfluidic system or oil displacement visual experiment. In this study, we develop a technique to partition the pores and throats of 2D porous micromodels, based on which the porous media structure could be described quantitatively. First, two series of medial axis are obtained based on the watershed algorithm and thinning algorithm, respectively. The thinning medial axis can be divided into four parts, i.e., node, endpoint, trunk, and branch, while the watershed medial axis does not have an endpoint. Then, the segmentation of pores and throats is initially carried out based on the watershed medial axis, and the interface of pore and throat is identified using the wavelet denoising method. Subsequently, the dead ends are further segmented, induced by the endpoints of thinning medial axis. Finally, we verify the method using the regular models and describe a random network micromodel quantitatively. The hybrid method not only accurately guarantees the medial axis located in the middle center but also keeps all the structure information of pore dead ends. Keywords Micromodels . Medial axis . Thinning algorithm . Watershed algorithm . Dead ends
Introduction Flow characteristics are determined by geometric structure and topological properties of the porous media, so it is of great meaning to study on the quantitative characterization of porous media. In general, the porous media structure parameters are preconditions for displacement experiments and flow simulations. Especially, the lattice Boltzmann method simulation and Responsible Editor: Liang Xiao * Jian Hou [email protected] 1
Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China
2
School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
3
Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
4
Gudao Oil Prduction Plant, Shengli Oilfield, Dongying 257231, Shandong, China
pore network modeling depend much on the construction of the digital cores (Wei et al. 2018; Hou et al. 2018; Wei et al. 2019). With the development of microscopic image technique such as computed tomography (CT) and magnetic resonance imaging (MRI), the digital core has been applied in various fields, promoting the studies on the porous media structure (Blunt et al. 2013; Jones et al. 2007). The image of porous media consists of voxels representing pore space and solid matrix; however, images obtained from experiments are usually not clear enough to identify these two parts. So before partitioning the pore and throat, it is necess
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