ENGINEERING INTERN Skills C++, Python, MATLAB, Git, Bash, R, SQL (basic). Experienced Linux/Unix using high performance computing clusters. Machine Learning Tools Libraries: Scikit-learn, Pandas, Seaborn, matplotlib, TensorFlow (basic). (I built XGBoost model 77.5% accuracy Kaggle Titanic challenge.) Computational Fluid Dynamics Discrete Element Method Codes CFD-DEM, OpenFOAM, CFD-ACE+®, Fluent®, COMSOL®, LAMMPS, LIGGGHTS. Reservoir Fracture Modeling Tools CMG® reservoir simulation; FracPro® fracture simulation analysis; Saphir pressure transient analysis. Experimental Statistical Methods SEM, AFM, Confocal Microscopy, Regression analysis, Statistical process control, Design experiments. Experience ENGINEERING INTERN 08/2016 － 12/2016 Company Name State Project: Develop cavings transport model optimizing hole-cleaning operations. Developed solids transport model predicting cuttings/cavings bed height hole-cleaning operation. In contrast conventional CFD models typically take several hours run, novel numerical model obtain results within minutes, enabling timely optimization well circulation schedule. Investigated competitive landscape designed commercialization plan numerical model. Leveraged experiences internal drilling experts aligned stakeholders throughout development process. ENGINEERING INTERN 05/2016 － 08/2016 City State Project: Optimize diverter pumping schedule better production performance well re-stimulation. Built simulator model proppant, diverter, slurry distribution plug-and-perf hydraulic fracturing operation. Derived simple proxy model substitute time-consuming CFD-DEM simulations predicting diverter transport perforation clusters. Simulation time drops 48+ hours less 1 sec. Provided recommendations pumping schedule design fracturing treatment. PROCESS ENGINEER 04/2012 － 05/2013 Company Name City Improve display yield statistical modeling, process control, tool modifications. Won Qualstar award Nov. 2012 completing two specific yield improvement tasks merely two months, first time QMT-TW award engineers establishment. Optimized sealing process interferometric modulator (iMoD) display led 52% pre-functional yield increase. Increased time panel encapsulation station 73% 92% leading two tool-modification projects involving group 5 equipment engineers 2 external support engineers Japan. PROPPANT/DIVERTER TRANSPORT HORIZONTAL WELLS, UT Austin Aug. 2014-present. Evaluate efficiency proppant/diverter transport perforated horizontal wells different slurry flow conditions using combined CFD-DEM approach. Developed multivariate statistical model substitute traditional CFD model predicting proppant transport perforations various flow conditions. The computational cost dropped 5 orders magnitude. Accurately predicted DAS-measured proppant distribution field case less 10% error. Chu-Hsiang Wu Page 2 DESIGN SELECTION GRAVEL PACK SAND CONTROL SCREENS, UT Austin Jun. 2013-present. Develop analytical, DEM, Monte Carlo models predicting sand production gravel packs sand control screens. Accurately predicted 6 sand production lab-test results obtained operators less 15% error using developed model. Invented DEM-based approach extracting pore throat size distribution complex packings. Results show pore throat sizes within gravel packs usually 1/5 1/9 effective gravel size. The findings correspond remarkably well previous field observations enable optimization gravel pack designs. 06/2010 Company Name Designed highly mixing-efficient serpentine channels biomedical detection. Devised mixing index quantify mixing efficiency two heterogeneous fluids flowing microfluidic channels. Interests SPE translator, Nepal medical assistance group, cofounder Taiwan Bio-Nano Youth Initiative. SELECTED PUBLICATIONS · Wu, C.-H., Sharma, M. M. 2017. A DEM-based approach evaluating pore throat size distribution filter medium, Powder Technology, ISSN 0032-5910, https://doi.org/10.1016/j.powtec.2017.09.018. · Wu, C.-H., Sharma, M. M., Chanpura, R. et al. 2017. Factors Governing Predicted Performance Multilayered Metal-Mesh Screens. SPE Drilling Completion. SPE-178955-PA. https://doi.org/10.2118/178955-PA. · Wu, C.-H., Sharma, M. M. 2016. Effect Perforation Geometry Orientation Proppant Placement Perforation Clusters Horizontal Well. Paper SPE-179117-MS presented SPE Hydraulic Fracturing Technology Conference, The Woodlands, TX, USA, 9-11 February 2016. Wu, C.-H., Yi, S., Sharma, M. M. 2017. Proppant Distribution Among Multiple Perforation Clusters Horizontal Wellbore. Paper SPE-184861-MS presented SPE Hydraulic Fracturing Technology Conference, The Woodlands, TX, USA, 24-26 January 2017. · Mondal, S., Wu, C.-H., Sharma, M. M. et al. 2016. Characterizing, Designing, Selecting Metal Mesh Screens Standalone-Screen Applications. SPE Drill Compl 31 (2): 85-94. SPE-170935-PA. http://dx.doi.org/10.2118/170935-PA. · Mondal, S., Wu, C.-H., Sharma, M. M. 2016. Coupled CFD-DEM Simulation Hydrodynamic Bridging Constrictions. Int. J. Multiph. Flow, Vol. 84, pp. 245-263, ISSN 0301-9322, http://dx.doi.org/10.1016/j.ijmultiphaseflow.2016.05.001. · Zhang, K., Chanpura, R. A., Mondal, S., Wu, C.-H., Sharma, M. M., Ayoub, J. A., Parlar, M. 2015. Particle Size Education Training May 2018 Ph.D UT Austin PETROLEUM ENGINEERING Scientific Computation City State PETROLEUM ENGINEERING Scientific Computation Dissertation: Modeling Particulate Flows Conduits Porous Media; Supervisor: Mukul M. Sharma 3.9/4.0 Recipient ConocoPhillips Fellowship (2013), Jack L. Thurber Memorial Endowed Presidential Scholarship Jun. 2010 M.S National Taiwan University MECHANICAL ENGINEERING City Taiwan MECHANICAL ENGINEERING Design mixing-efficient microfluidic device bio-medical applications 3.9/4.0 Jun. 2008 B.S National Tsing Hua University POWER MECHANICAL ENGINEERING City Taiwan POWER MECHANICAL ENGINEERING Presidential Award Scholarship (2006, 2007) Skills approach, Bash, basic, C++, competitive, DAS, Design experiments, functional, lab-test, Linux, Machine Learning, MATLAB, Modeling, novel, optimization, process control, Programming, proxy, Python, Simulation, SQL, Statistical process control, Supervisor, Unix Additional Information LEADERSHIP VOLUNTEER · Served Second Lieutenant artillery company Taiwan Army 2010-2011. · Qualstar Award, Qualcomm, 2012 2013 · Qualcomm Know-how Incentive Award, Qualcomm, 2013 · Technical Editor SPE Journal, SPE Drilling Completion, SPE Production Operations, 2017-present · Volunteer experience: SPE translator, Nepal medical assistance group, cofounder Taiwan Bio-Nano Youth Initiative. SELECTED PUBLICATIONS · Wu, C.-H., Sharma, M. M. 2017. A DEM-based approach evaluating pore throat size distribution filter medium, Powder Technology, ISSN 0032-5910, https://doi.org/10.1016/j.powtec.2017.09.018. · Wu, C.-H., Sharma, M. M., Chanpura, R. et al. 2017. Factors Governing Predicted Performance Multilayered Metal-Mesh Screens. SPE Drilling Completion. SPE-178955-PA. https://doi.org/10.2118/178955-PA. · Wu, C.-H., Sharma, M. M. 2016. Effect Perforation Geometry Orientation Proppant Placement Perforation Clusters Horizontal Well. Paper SPE-179117-MS presented SPE Hydraulic Fracturing Technology Conference, The Woodlands, TX, USA, 9-11 February 2016. Wu, C.-H., Yi, S., Sharma, M. M. 2017. Proppant Distribution Among Multiple Perforation Clusters Horizontal Wellbore. Paper SPE-184861-MS presented SPE Hydraulic Fracturing Technology Conference, The Woodlands, TX, USA, 24-26 January 2017. · Mondal, S., Wu, C.-H., Sharma, M. M. et al. 2016. Characterizing, Designing, Selecting Metal Mesh Screens Standalone-Screen Applications. SPE Drill Compl 31 (2): 85-94. SPE-170935-PA. http://dx.doi.org/10.2118/170935-PA. · Mondal, S., Wu, C.-H., Sharma, M. M. 2016. Coupled CFD-DEM Simulation Hydrodynamic Bridging Constrictions. Int. J. Multiph. Flow, Vol. 84, pp. 245-263, ISSN 0301-9322, http://dx.doi.org/10.1016/j.ijmultiphaseflow.2016.05.001. · Zhang, K., Chanpura, R. A., Mondal, S., Wu, C.-H., Sharma, M. M., Ayoub, J. A., Parlar, M. 2015. Particle Size Distribution Measurement Techniques Their Relevance Irrelevance Sand Control Design. SPE Drill Compl 30 (2): 164-174. SPE-168152-PA. http://dx.doi.org/10.2118/168152-PA.