Chu-Hsiang Wu
University of Texas at Austin
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Chu-Hsiang Wu.
Spe Drilling & Completion | 2016
Somnath Mondal; Chu-Hsiang Wu; Mukul M. Sharma; Rajesh A. Chanpura; Mehmet Parlar; Joseph A. Ayoub
Discrete element method (DEM) simulations have proved to be valuable for selecting screens with simple geometries (e.g., wire wrap screens) under pre-pack test conditions (Mondal et al. 2011). Metal mesh screens (MMSs) (commonly referred to as premium screens) can have multiple (sometimes sintered) layers with different weave patterns. Any model for estimating sand production in such screens must account for these complexities. The objective of this paper is to explore different techniques to create accurate representations of complex filter media and to use them in numerical simulations and/or analytical models for improved screen selection. In this paper, we have used computed tomography (CT) images of real screen coupons to construct 3D replicas of two MMS types: plain square mesh (PSM) and plain Dutch weave (PDW). An entirely computer-based method of creating 3D screen assemblies is also presented. The virtual screens have been compared and validated against the ones generated from the CT images. We have conducted DEM simulations of pre-pack tests through these multi-layer MMS assemblies. The retention efficiency of MMSs for different particle sizes has also been calculated for better slurry test modeling. We have shown that the effective size of MMS assemblies can be significantly lower than the nominal rating of the filter layer. This paper augments the pre-pack test and slurry test models for mesh-type screens presented earlier (Mondal et al. 2012; Chanpura et al. 2013). Determination of the retention efficiency of MMSs, which is currently characterized by a single filter-cut point, is also a step forward in quality assurance and quality control of these screens. Finally, we demonstrate that indepth screen design and optimization studies can be conducted with virtual meshes in a consistent way and at a fraction of the cost and time that would be required otherwise using conventional experimental techniques.
SPE International Symposium and Exhibition on Formation Damage Control | 2014
Ke Zhang; Rajesh A. Chanpura; Somnath Mondal; Chu-Hsiang Wu; Mukul M. Sharma; Joseph A. Ayoub; Mehmet Parlar
SPE Hydraulic Fracturing Technology Conference and Exhibition | 2017
Chu-Hsiang Wu; Sophie S. Yi; Mukul M. Sharma
International Journal of Multiphase Flow | 2016
Somnath Mondal; Chu-Hsiang Wu; Mukul M. Sharma
Spe Drilling & Completion | 2015
Ke Zhang; Rajesh A. Chanpura; Somnath Mondal; Chu-Hsiang Wu; Mukul M. Sharma; Joseph A. Ayoub; Mehmet Parlar
SPE International Conference and Exhibition on Formation Damage Control | 2016
Chu-Hsiang Wu; Mukul M. Sharma; Rajesh A. Chanpura; Mehmet Parlar; Joseph A. Ayoub
Spe Production & Operations | 2018
Sophie S. Yi; Chu-Hsiang Wu; Mukul M. Sharma
Powder Technology | 2017
Chu-Hsiang Wu; Mukul M. Sharma
SPE International Conference and Exhibition on Formation Damage Control | 2018
Chu-Hsiang Wu; Mukul M. Sharma; Michael James Fuller; Steve Mathis
Spe Drilling & Completion | 2017
Chu-Hsiang Wu; Mukul M. Sharma; Rajesh A. Chanpura; Mehmet Parlar; Joseph A. Ayoub