Tianxia (Tina) Zhao, Ph.D.

***** *** ****** *****, ********, TX, 77477 832-***-****

www.linkedin.com/in/tianxia-Tina-zhao ac4dfl@r.postjobfree.com

Accomplished Ph.D. level Engineer with 14 years of experience working as a Data Scientist, Physicist and Geophysicist in both industry and academia. Expertise in engineering design, modeling, analysis and coding. Hands-on project leader who creates innovative approaches on multiple domains in the O&G field. Technical excellence demonstrated by many published and presented papers and patents. Recognized as a technical community leader with the ability to communicate effectively with individuals at all levels and from diverse backgrounds. Proven success in teaching and developing individuals in public universities. Key competencies include:

Data Analysis and Model Building

Machine Learning

Predictive Modeling

Prognostic Health Monitoring

Time Series Analysis

Anomaly Detection

Numerical Analysis

Seismic Acquisition / Processing

Optimization algorithm

Programing

Geophysics Interpretation

Multiphysics software

Well-Logging

Petrophysics Interpretation

Electrical Engineering

Professional Experience

Data Scientist, Schlumberger, Houston, TX 2015 to 2017

Worked with domain subject matter experts, engineers, big data developers and stakeholders to understand segment and project needs and constraints which defined data modeling projects for segments and centers.

Performed data collection, storage, and query, data cleaning and processing, exploratory data analysis and statistical analysis, via visualization and summarization which provided a better understanding of the problem and projects, and accurate modeling for exploration and production.

Researched, developed and evaluated data analytics, statistical modeling, predictive modeling and machine learning models for Exploration and Production applications, including feature engineering, regression, clustering, classification, neural network deep learning resulting in better model building.

Implemented algorithms using Python/Matlab, and used other languages and platforms to generate applications that enabled engineers to develop an action plan to maximize field production.

Presented and explained sophisticated machine learning algorithms, concepts and application to management, clients, and the business community, achieved understanding and buy in for new products and projects.

Assisted different segments and centers to start data analysis projects and had weekly or monthly meetings that resulted in sustainability and improvement of the new models.

Kept up with the most updated technology trends and applied new techniques that increased efficiency of data processing and modeling.

Examples of projects include: Drilling and measurement/ Wireline Tool/Cameron Blowout preventer failure prediction modeling building and data analysis; Health analyzer software package development, distribution and sustaining for field engineers and operators

Senior Modeling Physicist/Modeling and Simulation Engineer, Schlumberger, Sugar land, TX 2010 to 2015

Worked with experimental physicists, mechanical, electrical, firmware engineers and leads/managers to develop advanced physics prototype for engineering department.

Used Multiphysics software COMSOL, in-house or self-developed codes to perform forward modeling for new components and tools development across different centers which enabled effective sharing of expertise and knowledge.

Communicated with engineers, domain experts to identify problems and challenges in areas in oil and gas industry, and proposed engineering and research plans and solutions that made the greatest business impact.

Improved and innovated modeling and testing results and provided physics insight that enabled the resolution of the toughest engineering challenges in the market.

Implemented the formulated physics models using Fortran/Matlab and generatde algorithm models and worked with developers to make the final product to be deployed to the field which improved software product features.

Examples of projects include: Propagation resistivity well-logging tool physics modeling and testing data analysis and interpretation; Formation evaluation interpretation inversion optimization and answer product development and implementation with emphasis on dielectrics; hardware physics modeling: Borehole assembly modeling, coil antenna with shield and collar modeling, inductive coupler(wireless power transmission), antenna for LWD tool, and tool response for the antenna array in complicated formation (shoulder, anisotropic, borehole, dielectric, fractured etc);tool physics modeling, pressure/sampling tools, caliper/eccentricity modeling etc; Fracture modeling using COMSOL.

Seismic Imaging Processing Geophysicist, CggVeritas, Houston, TX 2007 to 2010

Tested and implemented various signal processing and model building techniques to get the best results

Led and assisted several Gulf of Mexico projects including time processing, depth processing, velocity model building and salt interpretation

Involved in the first ocean bottom project and came up with innovative ways of processing

Met with clients every week to ensure the smooth progress of the projects

Assistant Professor, Indiana University-Purdue University Fort Wayne, Fort Wayne, IN 2005 to 2007

Taught university electrical engineering course including circuit analysis, numerical analysis, electromagnetics

Researched on electromagnetics applications and numerical techniques

Postdoctoral Fellow, Texas A&M University, College Station, TX 2004 to 2005

Postdoctoral Fellow, Pennsylvania State University, State College, PA 2003 to 2004

Education

Doctor of Philosophy, Electrical Engineering, University of Houston, Houston, TX

Master of Science, Electrical and Electronics Engineering, National University of Singapore, Singapore

Bachelor of Science, Electrical and Electronics Engineering, Sichuan University, Chengdu, Sichuan, China

Training, Certifications and Skills

Machine Learning, Stafford University, Coursera Introduction to Data Analysis, Udacity Data Analysis with R, Udacity Scipy and advance python for techlog, Python and Numpy Introduction to Statistical Concepts, SAS Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression, SAS SAS(R) Programming 1: Essentials

IBM cognitive classes certificate: Data Analysis with Python, Machine learning with Python, Deep Learning 101, Predictive Modeling Fundamentals, big data 101, SQL and relational database, statistics 101, text analysis 101, Spark Fundamental I, Hadoop 101, R 101, Machine Learning with R, Accessing Hadoop Data Using Hive

Basic Petrophysics, Quick Look and Log Quality Control E-learning training (ipims.com): Formation Evaluation; Petrophysics; Common Tech Competencies COMSOL Multiphysics, AC/DC, RF modeling Resistivity Logging Nuclear Logging Geology Salt Interpretation Cggveritas University Training 5 weeks

Skills: Python, Matlab, Fortran, R, Spotfire, SAS, SQL, big data tools spark, Hadoop, Mlib, Hive,Hortonworks sandbox, Ambari, microsoft azure, IBM SPSS statistics and modeler, IBM SystemT web scraping, amazon AWS, google cloud

Python libraries including Scikitlearn, Keras, Matplotlib, Bokeh, tkinter, Tensorflow

Machine learning including feature extraction, regression, classification, clustering, neural network

COMSOL multiphysics, Schlumberger Techlog, CggVeritas processing, modeling building, interpretation tool

Publications

Patents (1 granted, 4 pending, and 9 in memos) Including

Inductive coupler for power transmission, Application number 13/831768, granted US 9245683, Jan 26, 2016

Systems and methods for acquiring measurements using electromagnetic tools, filed Dec 17 2014, Serial Number 62/093,377, (Docket No. IS13.4581-US-PSP)

Systems and methods for determining dielectric constant or resistivity from electromagnetic propagation measurement using contraction mapping, filed Dec 16 2014, Serial Number 62/092,316, (Docket No. IS14.8159-US-PSP).

Methods for determining drill fluid induced fractures, IS14.9534(63182)USNP, 2016, application #14/673598

Internal Antenna for HPHT LWD Tools, filed Sept. 15, 2015, #62/218905, WO filed Aug 31, 2016, #PTC/US2016/049549

Publications (11 Journal and 14 Conference Papers) Including

T. Zhao, G. Wang, K. Sun, A. Abubakar, F. Garcia-Osuna, “Using a Contraction Mapping Method to Determine Complex Permittivity from Electromagnetic Propagation Measurements”, IEEE APS&URSI, Vancouver, BC, Canada, July 2015

T. Zhao, G. Minerbo,J. Hunka, and J. Goswami, “A novel technique to compute impedance of an arbitrarily oriented coil antenna for well logging application”, IEEE APS&URSI, Chicago, IL 2012

Projects Lists

Schlumberger data analysis projects include:

2015-2016 Upgrade and sustain for several Schlumberger D&M tools health analyzer stand-alone application software and Matlab scripts including EcoScope, StethoScope, PowerDrive, ADN4, Provision, TelePacer etc.

2015-2017 Wireline hydraulic sampling tool failure prediction for valve positioning and Hall-effect voltage modules, Matlab/python for data preprocessing, algorithm development, application generating

2016-2017 Data Analysis for Cameron Blowout Preventer(BOP), using Python and Machine learning for time series prediction algorithms development, log data parsing and streaming data query

Schlumberger Tool Physics Modeling projects include:

2010-2015: Physics Modeling using COMSOL and Matlab/Fortran forward modeling code for different Schlumberger LWD resistivity tools including ARC, FLCN wireline hydraulic sampling, Smith Bits, Through Bits, Periscope, EMLA look around, eBeam wireless power transmission etc.

2010-2015: Multiphysics Modeling with COMSOL for hardware components modeling including coupler, antenna, magnet, porosity etc.

2013-2015 LWD propagation resistivity answer product leader in improvement for dielectric inversion and borehole inversion with eccentricity, fracture fluid detection for shale formation etc. Fortran/Matlab code development

The Seismic projects in CggVeritas include:

2007: Alanimos Canyon phase VI, data library: preprocessing (time-domain)

2008: Area 20 anisotropic WEM/CBM PSDM: migration production (depth-domain)

2008: Gulf of Mexico East Break, data library: preprocessing

2009: Hypnos Waz TTI Anisotropic PSDM project, salt picking and subsalt tomography, migration test and production

2009: Gouda Waz TTI Anisotropic PSDM project (the first waz TTI project in CGGVeritas), preprocessing, model building and salt picking, and final migration and delivery and report

2010: Atlantis OBS TTI PSDM ocean bottom node project, preprocessing tests including SRME (surface-related multiple elimination), noise removal, tilt correction, PZ summation, time-shift and position drift and velocity correction tests, Water column statics correction.

2010: Koelsch TTI PSDM project, salt scenario tests and interpretation and subsalt tomography.

Community Activities

Co-leader of Deep Electromagnetic Special Interest Group in Schlumberger Eureka Technical Communities

Co-leader of Electromagnetic & Resistivity Community in Schlumberger Eureka Technical Communities

Members of IEEE, SEG, Sigma Xi, SPWLA

Reviewer for IEEE APS TRANSACTION JOURNAL

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