Introduction to Geostatistics IntroductionPGE337, Spring 2019 to Geostatistics PGE337, Spring 2019 Unique Number: 18980

SYLLABUS Instructor Zoya Heidari, Ph.D. Associate Professor The University of Texas at Austin Hildebrand Department of Petroleum and Geosystems Engineering Office: CPE 5.108 Telephone: (512) 471-7218 E-mail: [email protected]

Instructor Office Hours Students are encouraged to use office hours during the semester. The instructor’s office hours are as follows:

Group Office hours: Mondays 4:30 PM – 6:00 PM Location: CPE 5.126 or CPE 5.108

Office hours: Wednesdays 4:30 PM – 6:00 PM Location: CPE 5.108

The instructor encourages all students to attend group office hours to benefit from the discussions and learn from their peers. Additional office hours can be scheduled in advance upon request from students depending on instructor’s availability. Technical discussions and questions by e-mail should be kept at a minimum. The instructor will not answer e-mails on weekends, holidays, or after 6:00 PM on week days.

Course Description This course is an introduction to Geostatistics, which includes basic concepts of and probability with focus on Geoscience applications such as modeling spatial variability, formation characterization, and uncertainty analysis. The topics covered in the course include basic probability and statistics, study of correlated variables, statistical interpolation and simulation, global optimization, linear and , , and modeling (e.g., analysis, ), and uncertainty quantification. Emphasis is on the ways the results of these procedures are related to geology, formation evaluation, and fluid flow. The students will learn the application of statistics in characterization of spatial heterogeneity, which has applications in production planning, formation evaluation, and reservoir characterization. Credit: 3 hours Prerequisites: Mathematics 408D or 408M, and Petroleum and Geosystems Engineering 310 with a grade of at least C- in each. Students are expected to have basic knowledge in mathematics, physics, and basic geology.

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Introduction to Geostatistics PGE337, Spring 2019

Class Schedule Lecture: Mondays, Wednesdays and Fridays, 10:00 AM – 11:00 AM Location: CPE 2.210

Course Website, CANVAS All the homework assignments, homework solutions, lecture notes, and project assignments will be posted on the CANVAS website designed for this course. Students are responsible to check their e-mails and the course website at least once a day for announcements and any required action for the course.

Teaching Assistants Chelsea Newgord E-mail: [email protected] Office hours: Tuesdays, 4:00 PM – 5:00 PM (Subject to change) Fridays, 11:00 AM – 12:00 PM (Subject to change) Location: 3.172D

Laura Hernandez E-mail: [email protected] Office hours: Tuesdays, 1:00 PM – 2:00 PM (Subject to change) Thursdays, 10:00 AM – 11:00 AM (Subject to change) Location: 3.172D

Responsibilities of the teaching assistants include: a. Helping students with conceptual and technical questions. b. Guiding students in homework and project assignments. c. Helping students in the preparation for exams. d. Helping students in using Python/Matlab for homework and project assignments.

Suggested References

Geostatistics: • Chiles, J. P. and Delfiner, P., 1999, Geostatistics-Modeling Spatial Uncertainty. Wiley Series in Probability and Statistics. • Trauth, M. H., 2015, MATLAB Recipes for Earth Sciences. Springer-Verlag Berlin Heidelberg. • Isaacs, E. H. and Srivastava, R. M., 1989, An Introduction to Applied Geostatistics. Oxford University Press. • Jensen, J. R., Lake, L. W., Corbett P. M. W., and Goggin, D. J., 2000, Statistics for Petroleum and Geoscientists, Elsevier. • Kelkar, M. and Perez, G., 2002, Applied Geostatistics for Reservoir Characterization. Society of Petroleum Engineers. • McKillup, S. and Dyar, M. D., 2010, Geostatistics Explained: An Introductory Guide for Earth Scientists. Cambridge University Press. • Middleton, G., 2000, Analysis in the Earth Sciences using Matlab. Prentice Hall Inc. • James, G., Witten, D., Hastie, T., and Tibshirani, R., 2017, An Introduction to Statistical Learning: with Applications in R. Springer.

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Suggested references for Introduction to Statistics: • Dekking, F. M., Kraaikamp, C., Lopuhaa, H. P., and Meester L. E., 2007, A Modern Introduction to Probability and Statistics Understanding Why and How. Springer-Verlag. • Casella, G. and Berger, R. L., 2002, . Duxbury, Thomson Learning. • Peebles, P. Z., 1980, Probability, Random Variables and random Signal Principles. McGraw-Hill Book Company • Agresti, A. and Franklin C. A., 2011 (3rd edition), Statistics: The Art and Science of Learning from Data. Pearson.

Note: Students are not required to purchase any of these references.

Additional Instructional Materials

• The instructor will distribute field examples in the class or on the course website. • The instructor will upload computational codes used for class practice on the course website. • Additional reading assignments and references will be uploaded on the course website. • Students are required to have i>clickers for this class.

Handouts and Class PowerPoint Presentations

PowerPoint presentations will be posted on the course website in PDF format. The instructor will not print and distribute the PowerPoint presentations in the class. Additional handouts might be distributed in the class. Handouts including field examples will not be posted on the course website.

Grading Policy

The distribution of the final grade will be as follows:

Item Weight (%) Due Date Location Homework Assignments 15 Wednesdays before 11:00 PM CANVAS Pop quizzes 5 CPE 2.210 Midterm Exam No. 1 15 Monday, February 18, 2019 at 6:00 PM CPE 2.210 Midterm Exam No. 2 15 Wednesday, March 27, 2019 at 6:00 PM CPE 2.212 Midterm Exam No. 3 15 Monday, April 22, 2019 at 6:00 PM CPE 2.210 Final Exam 35 Saturday, May 18, 2019, 2:00 PM – 5:00 PM TBA Please check the location of the final exam Total 100

The cutoff values for assigning letter grades (plus/minus grading system) will be decided by the instructor after the final exam.

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Introduction to Geostatistics PGE337, Spring 2019 Course Objectives and Outcomes

At the end of the course, students will be able to: • Characterize formations using statistical approaches where access to deterministic models is limited • Understand the benefits and limitations of stochastic modeling • Apply statistics in characterizing spatial heterogeneity • Understand basic concepts in probability and univariate, bivariate, and spatial relationship, and correlation, and regression and curve fitting • Understand the basics of confidence tests • Apply variogram analysis, spatial estimation, kriging, and uncertainty analysis • Evaluate time series • Integrate geostatistical methods and geological information to analyze subsurface data • Evaluate estimation errors in reservoir properties

Topical Outline

1. Introduction to Geostatistics and Course Policies 2. Fundamentals of Statistics and Probability 3. Univariate Statistics a. Basic Data Analysis and Display b. Hypothesis Tests c. Measures of Heterogeneity 4. Bivariate Statistics a. b. Regression and Curve Fitting c. Cross Validation 5. Time Series Analysis 6. Spatial Data Analysis and Modeling a. Variogram Analysis b. Kriging and Co-Kriging 7. Uncertainty Analysis 8. Optional: Introduction to Classification and Machine Leaning Methods

Course Policies

• Class Attendance: Students are expected to attend every session of the class. Always bring your i>clickers, laptops, and calculators to the class. There is always the possibility of having pop quizzes and solving examples in the class, which will not be repeated later.

• Team Work and Individual Performance: Collaboration on examinations and assignments is forbidden except when specifically authorized. See Policy on Academic Integrity (http://deanofstudents.utexas.edu/sjs/acint_student.php).

Homework assignments should be submitted individually. However, group homework and project assignments are team exercises. Collaboration within teams is required. Collaboration between teams is forbidden except when specifically authorized. Team

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reports will be assigned a team grade. Students can choose their team members themselves.

• Homework and Project Assignments: Homework assignments will be uploaded on the Canvas website every Wednesday. The deadline for homework assignments will be the following Wednesday before 11:00 PM. You should scan your homework assignments and upload them on the course website. Homework assignments will be considered late if they are not turned in before 11:00 PM on the due date. Late homework assignments will not be graded. Late or not, all assignments must be turned in. Late homework assignments should be e-mailed to the TA and the instructor should be carbon copied (CC) in that e- mail. The e-mailed assignments will not be graded. A course grade of “Incomplete” might be given if any assignment is missing, and this grade will be changed only after all required work has been submitted.

• Exams and pop quizzes: The students who miss any of the exams will not be given any additional exam. The final grade will be re-distributed for the students who miss the midterm exam with valid excuses without including the exam that they missed. Valid excuses include only university-approved reasons. Pop quizzes can be taken any time during lecture hours. The lowest quiz grade will be excluded from the final semester grade. You need to use your i>clicker unit to answer pop quizzes. The minimum grade for the students who take the pop quizzes will be 50/100. Only the students who miss the pop quiz will receive 0/100.

Students with special needs, including those who require special time and accommodations for exams should let the instructor know within the first two weeks of classes.

• Class Etiquette: Texting or any other form of smart-phone, electronic tablets, and wireless communication, including web browsing and phone calling is not allowed during class. Laptop computers should be only used for class activities during class. Distracting and loud verbal communications among students are not allowed during lectures. Lastly, taking trips in and out of the classroom during lectures will only be permitted because of health reasons. Students are required to observe these basic behavioral manners to make the most efficient use of their time during lectures.

• i>clicker: It is the students’ responsibility to have their registered i>clicker units with them during lecture sessions. It is students’ responsibility to make sure that their i>clicker units are working properly. Failure to obtain, use, and maintain a working i>clicker unit will result in loss of points for assignments such as pop quizzes. Appendix A includes more information about i>clicker use in this class and its registration process.

If a student is present in the class, but the i>clicker is forgotten or not functional, the student will be given the option to enter his/her name in a sign-up sheet and he/she will be given a 50/100 on that assignment. The students must let the instructor know by the end of class, if they were present and the i>clicker unit was not working/available, otherwise they will receive a 0/100 for that assignment/pop quiz. If there is no record of i>clicker usage and no notice to the instructor by the end of the class, the student will be given a 0/100 in that assignment/pop quiz.

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• Grading and Regrading: The policies regarding grading and regarding of exams and homework and project assignments are as follows: a. It is the general policy for this class that homework assignments and exams shall be graded on the basis of answers only — partial credit, if given, is given solely at the discretion of the instructor. b. All work requiring calculations shall be properly and completely documented for credit. c. All grading shall be done by the instructor, or under the instructor’s direction and supervision, and the decision of the instructor is final. d. Only in very rare cases will exams be considered for regrading; e.g., when the total number of points deducted is not consistent with the assigned grade. Partial credit (if any) is not subject to appeal. e. Work which cannot be followed, will be considered incorrect and will not be considered for a grade change. f. The request for homework and project regrading should be submitted to the instructor within one week from the date returned. g. If regrading is necessary for the exams, the student should submit a regrading request to the instructor within one week from the date returned. h. According to The University of Texas at Austin regulations, the grades and the exams/assignments results will only be disclosed to the students. The instructor will not discuss/negotiate students’ grades with their parents, friends, or significant others.

• University Regulations Concerning Attendance, Grades, and Academic Dishonesty: Each student should review the University Regulations concerning attendance, grades, and scholastic dishonesty. In particular, anyone caught cheating on an examination or homework assignment will be removed from the class roster, given an F (failure grade) in the course, and reported to the Dean of Judicial Affairs. Academic dishonesty will not be tolerated. An explanation of what constitutes plagiarism can be found at the following website: http://catalog.utexas.edu/general-information/the-university/

The following document includes a brief guide to avoid plagiarism: http://www.utexas.edu/cola/cwgs/_files/pdf-4/ai2012.pdf

Incidents of dishonesty will be reported to the university authorities. Anyone who copies from a fellow student, former student, copyrighted material, etc. will automatically receive a failing grade and be reported to the Dean of Judicial Affairs.

Under no circumstances it is permissible to transfer any document electronically among students taking PGE337, to print a document and share the hardcopy with another student taking PGE337, or else to obtain and/or distribute electronic and/or paper documents used for similar courses at UT Austin or elsewhere.

Students are required to take reasonable steps to protect their work from being copied or reproduced either advertently or inadvertently. These steps include but are not limited to erasing any copies of their work stored on departmental machines. Collaboration on exams will not be tolerated and will be dealt with in an appropriate manner for academic

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dishonesty. Any student in PGE337 caught in an act of scholastic dishonesty will be given an F for the final course grade and will have his/her case referred to the Dean of Students Office for additional disciplinary action.

The following is a list that includes (but not limited to) examples of cheating: • Using cell phone or any other electronic device not permitted by the instructor during an exam. Usually calculators are allowed in exams but they cannot be “programmed.” • Using any external material during an exam (e.g. books/notes). All tests are closed book/notes unless stated otherwise. • Copying homework, projects, or computer programs from another student or source. Although discussion with classmates is permitted, all homework should be unique and distinguishable from other students. • Copying homework, projects, or computer programs from previous semesters or published online, in other texts, etc.

• Accommodations for Religious Holidays: By The University of Texas at Austin policy, the students must notify the instructor of their pending absence at least fourteen days prior to the date of observance of a religious holy day. If any student must miss a class, an examination, a work assignment, or a project in order to observe a religious holy day, he/she will be given an opportunity to complete the missed work within a reasonable time, decided by the instructor, after the absence.

• Resources for Students with Disabilities and Special Testing Requirements: Students with disabilities may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities. For more information, contact the Office of the Dean of Students at 512-471-6259 or the College of Engineering Director of Students with Disabilities at 512-471-4321. Additional information can be found in the following websites: https://www.utexas.edu/disability/ http://www.utexas.edu/diversity/ddce/ssd

Students with special needs, including those who require special time and space accommodations for exams should let the instructor know preferably within the first two weeks of classes but no later than two weeks before a given exam so that the instructor can secure the pertinent accommodations recommended by UT Austin.

• University Electronic Mail Notification Policy: All students should become familiar with the University’s official e-mail student notification policy. It is the student’s responsibility to keep the University informed as to changes in his/her e-mail address. Students are expected to check e-mail on a frequent and regular basis in order to stay current with University-related communications, recognizing that certain communications may be time-critical. It is recommended that e-mail be checked daily.

In this course e-mail and CANVAS website will be used as a of communication with students. You will be responsible for checking your e-mail regularly for class work and announcements.

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• Title IX Reporting: Title IX is a federal law that protects against sex and gender based discrimination, sexual harassment, sexual assault, sexual misconduct, dating/domestic violence and stalking at federally funded educational institutions. UT Austin is committed to fostering a learning and working environment free from discrimination in all its forms. When sexual misconduct occurs in our community, the university can:

1. Intervene to prevent harmful behavior from continuing or escalating. 2. Provide support and remedies to students and employees who have experienced harm or have become involved in a Title IX investigation. 3. Investigate and discipline violations of the university’s relevant policies, which can be found at https://titleix.utexas.edu/policies/.

Faculty members and certain staff members are considered “Responsible Employees” or “Mandatory Reporters,” which means that they are required to report violations of Title IX to the Title IX Coordinator. Your instructor is a Responsible Employee and must report any Title IX related incidents that are disclosed in writing, discussion, or one-on-one. Before talking with a faculty or staff member about a Title IX related incident, be sure to ask whether they are a responsible employee. If you want to speak with someone for support or remedies without making an official report to the university, e-mail [email protected]. For more information about reporting options and resources, visit titleix.utexas.edu or contact the Title IX Office at [email protected].

• Safety in the Classroom: Students are expected to review the following recommendations regarding emergency evacuation from the Office of Campus Safety and Security, 512-471- 5767. a. Occupants of buildings on The University of Texas at Austin campus are required to evacuate buildings when a fire alarm is activated or an official announcement is given. b. Familiarize yourself with all exit doors of each classroom and building you may occupy. Remember that the nearest exit door may not be the one you used when entering the building. c. Students requiring assistance in evacuation shall inform their instructor in writing during the first week of class. d. During an evacuation, follow the instructions of faculty or class instructors. e. Do not re-enter a building unless given instructions by the following: Austin Fire Department, The University of Texas at Austin Police Department, or the Fire Prevention Services. f. Link to information regarding emergency evacuation routes and emergency procedures can be found at www.utexas.edu/emergency g. Behavior Concerns Advice Line (BCAL): 512-232-5050

Additional safety-related information can be found at www.utexas.edu/safety

• Coursework Copyright: Handouts and data used in this course are copyrighted. The designation "handouts" includes all the materials generated for this class, which include but are not limited to syllabus, quizzes, data, exams, solution sets, laboratory problems, in-class materials, workshop materials, PowerPoint presentations, PDF files, review sheets, additional problem sets, and digital material. Because these materials are copyrighted,

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students do not have the right to copy them, reproduce them (including digital reproductions), post them on the web, or share them with anyone by either manual or electronic means unless you are expressly granted permission by the instructor.

• Academic Integrity: A fundamental principle for any educational institution, academic integrity is highly valued and seriously regarded at The University of Texas at Austin. More specifically, the students are expected to maintain absolute integrity and a high standard of individual honor in scholastic work undertaken at the University. This is a very basic expectation that is further reinforced by the University's Honor Code. At a minimum, you should complete any assignments, exams, and other scholastic endeavors with the utmost honesty, which requires you to: a. acknowledge the contributions of other sources to your scholastic efforts; b. complete your assignments independently unless expressly authorized to seek or obtain assistance in preparing them; c. follow instructions for assignments and exams, and observe the standards of your academic discipline; and d. avoid engaging in any form of academic dishonesty on behalf of yourself or another student. For the official policies on academic integrity and scholastic dishonesty, please refer to Chapter 11 of the Institutional Rules on Student Services and Activities.

• University Code of Conduct and Student Honor Code: The core values of The University of Texas at Austin are learning, discovery, freedom, leadership, individual opportunity, and responsibility. Each member of the university is expected to uphold these values through integrity, honesty, trust, fairness, and respect toward peers and community.

“As a student of The University of Texas at Austin, I shall abide by the core values of the University and uphold academic integrity.”

For more information and resources about how to uphold the Honor Code, visit the website of the Office of the Dean of Students or the following websites:

http://deanofstudents.utexas.edu/conduct/ https://www.utexas.edu/about/mission-and-values

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Introduction to Geostatistics PGE337, Spring 2019

Relationship of the Course to Program Outcomes

PGE graduates must have… x a. An ability to apply knowledge of mathematics, science, and engineering. x b. An ability to design and conduct , as well as to analyze and interpret data. c. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. x d. An ability to function on multidisciplinary teams. x e. An ability to identify, formulate, and solve engineering problems. f. An understanding of professional and ethical responsibility. x g. An ability to communicate effectively. h. The broad education necessary to understand the impact of engineering solutions in a global,

economic, environmental, and societal context. i. Recognition of the need for and an ability to engage in life-long learning. x j. Knowledge of contemporary issues. k. An ability to use the techniques, skills, and modern engineering tools necessary for engineering x practice.

Program Criteria for Petroleum Engineering Curriculum Achieved

PETROLEUM ENGINEERING PROGRAM CRITERIA PGE graduates have a competency in… Mathematics through differential equations, probability and statistics, fluid mechanics, strength of x materials, and thermodynamics; Design and analysis of well systems and procedures for drilling and completing wells; Characterization and evaluation of subsurface geological formations and their resources using x geoscientific and engineering methods; Design and analysis of systems for producing, injecting, and handling fluids; Application of reservoir engineering principles and practices for optimizing resource development and

management; Use of project economics and resource evaluation methods for design and decision making under

conditions of risk and uncertainty.

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Tentative Course Schedule*

Week Date DOW Type Topics 01/21/19 M No Classes, Martin Luther King Jr. Day holiday 1 01/23/19 W Lecture Introduction to Geostatistics, Course Policies 01/25/19 F Lecture Introduction to Geostatistics M Fundamentals of Statistics and Probability, 01/28/19 Lecture Data in Earth Sciences 2 01/30/19 W Lecture Fundamentals of Probability 02/01/19 F Lecture Fundamentals of Probability 02/04/19 M Lecture Fundamentals of Probability 3 02/06/19 W Lecture Univariate Statistics: Data Display 02/08/19 F Lecture Univariate Statistics: Introduction to PDF and CDF 02/11/19 M Lecture Univariate Statistics: Basic Data Analysis and Distributions 4 02/13/19 W Lecture Practice Session, Review for Midterm Exam 02/15/19 F Lecture Univariate Statistics: Basic Data Analysis and Distributions 02/18/19 M Exam Midterm Exam No. 1 5 02/20/19 W Lecture Univariate Statistics: Basic Data Analysis and Distributions 02/22/19 F Lecture Univariate Statistics: Measures of Heterogeneity 02/25/19 M Lecture Univariate Statistics: Measures of Heterogeneity 6 02/27/19 W Lecture Univariate Statistics: Statistical Hypothesis Testing 03/01/19 F Lecture Univariate Statistics: Statistical Hypothesis Testing 03/04/19 M Lecture Univariate Statistics: Statistical Hypothesis Testing 7 03/06/19 W Lecture Bivariate Statistics: Correlation Coefficient 03/08/19 F Lecture Bivariate Statistics: Correlation Coefficient 03/11/19 M Lecture Bivariate Statistics: 8 03/13/19 W Lecture Bivariate Statistics: Linear Regression 03/15/19 F Lecture Bivariate Statistics: Linear Regression 03/18/19 M No Classes (Spring break)

9 03/20/19 W No Classes (Spring break)

03/22/19 F No Classes (Spring break)

03/25/19 M Lecture Practice Session, Review for Midterm Exam 10 03/27/19 W Exam Midterm Exam No. 2 03/29/19 F Lecture Bivariate Statistics: Cross Validation 04/01/19 M Lecture Bivariate Statistics: Cross Validation 11 04/03/19 W Lecture Time Series Analysis 04/05/19 F Lecture Time Series Analysis 04/08/19 M Lecture Time Series Analysis 12 04/10/19 W Lecture Spatial Data Analysis and Modeling 04/12/19 F Lecture Spatial Data Analysis and Modeling 04/15/19 M Lecture Spatial Data Analysis and Modeling 13 04/17/19 W Lecture Spatial Data Analysis and Modeling 04/19/19 F Lecture Practice Session, Review for Midterm Exam 04/22/19 M Exam Midterm Exam No. 3 14 04/24/19 W Lecture Spatial Data Analysis and Modeling 04/26/19 F Lecture Spatial Data Analysis and Modeling

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04/29/19 M Lecture Spatial Data Analysis and Modeling 15 05/01/19 W Lecture Uncertainty Analysis 05/03/19 F Lecture Uncertainty Analysis 05/06/19 M Lecture Uncertainty Analysis 16 05/08/19 W Lecture Uncertainty Analysis OR Machine Learning Methods (optional) 05/10/19 F Lecture Uncertainty Analysis OR Machine Learning Methods (optional) Final 05/18/19 Saturday Exam Final Exam (2:00 PM - 5:00 PM)

* This course schedule is tentative and subject to change.

About the Instructor

Zoya Heidari is an Associate Professor in the Hildebrand Department of Petroleum and Geosystems Engineering at The University of Texas at Austin. Before joining The University of Texas at Austin, she was an Assistant Professor at Texas A&M University in College Station and the Chevron Corporation faculty fellow in Petroleum Engineering from September 2011 to August 2015. Zoya was the founder and the director of the Texas A&M Joint Industry Research Program on “Multi- Scale Formation Evaluation of Unconventional and Carbonate Reservoirs” from 2012 to 2015. She has been the founder and the director of the University of Texas at Austin Industrial Affiliates Research Program on “Multi-Scale Rock Physics” since 2016. She received a Ph.D. (2011) in Petroleum Engineering from The University of Texas at Austin. Zoya is one of the recipients of the 2017 SPE (Society of Petroleum Engineers) Cedric K. Ferguson Medal, the 2016 SPE regional Formation Evaluation award, the 2015 SPE Innovative Teaching Award, the 2014 TEES (Texas A&M Engineering Station) Select Young Faculty Fellows award from the College of Engineering at Texas A&M University, and the 2012 SPE Petroleum Engineering Junior Faculty Research Initiation Award. She is the holder of Anadarko Petroleum Corporation Centennial Fellowship #1 in Petroleum Engineering at UT Austin since 2016. Zoya has supervised twenty four graduate students and published more than 130 papers in peer-reviewed journals and conference proceedings. Her research interests include Petrophysics, Rock Physics, Borehole Geophysics, Formation Evaluation, Inverse Problems, Integrated Reservoir Characterization of Carbonates and Unconventional Resources, and Completion Petrophysics. Zoya has served on technical committees for the SPWLA annual symposium, the SPWLA education committee, the local organizing committee of the Society of Engineering Science (SES) conference, and the SPWLA Unconventional Resources Special Interest Group (URSIG), and steering committees for SPWLA topical conferences on “Completion Petrophysics” and “Educating the Petrophysicist” as well as unconventional reserves task force summit. She has served as an associate editor for the SPE Reservoir Evaluation & Engineering Journal. Zoya has also served as the Vice President of Education for the Society of Petrophysicists and Well Log Analysts (SPWLA) from 2016 to 2018.

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APPENDIX A: Information about i>clicker

What to purchase? You should purchase i>clicker 2 The mobile application, REEF Polling by i>clicker will not be allowed.

Register your clicker within Canvas To receive credit for the responses you submit with i>clicker, you must register your clicker by January 28, 2019. Students who register after this time will not receive credit for the quizzes and class activities they miss after this deadline. You must register your clicker within Canvas. Do not register your clicker on iclicker.com: if you do, the instructor will not be able to match your responses with your name and you will not receive credit.

More information can be found in the following website: https://utexas.instructure.com/courses/1125742/pages/activating-iclicker-registration-in- canvas?module_item_id=7724344

If you still need help with registering your i>clicker, you can contact: • Client support: E-mail: [email protected] Phone: 866-209-5698 (Available M-F 9AM – 9PM EST) • UT on-campus support: Noah Stroehle ([email protected])

Cheating The instructor considers bringing a fellow student’s i>clicker to class to be cheating and a violation of the University Honor Code. If you are caught with a remote other than your own or have votes in a class that you did not attend, you will forfeit all clicker points and may face additional disciplinary action.

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