Program Introduction
The Master's Program in Oil and Gas Artificial Intelligence aims to train international students. The program is based on the first-class disciplines of Geological Resources and Geological Engineering, as well as Petroleum and Natural Gas Engineering, with an interdisciplinary focus on Oil and Gas Artificial Intelligence. Through coursework, comprehensive practical projects, or thesis research, the program aims to cultivate students who possess scientific research, technological development, engineering design and construction, and engineering planning and management capabilities in fields such as petroleum and natural gas exploration and development, geothermal and other emerging energy extraction, in-situ conversion and utilization of underground energy and minerals, carbon dioxide capture and utilization, and underground energy storage.
Training Directions：
（1）Intelligent Petroleum Engineering
（2）Intelligent Exploration Engineering
Training Mode and Duration:
The training mode and duration of this program are divided into two types:
（1）Course-based：The course-based master's program has a duration of 12 months, with a maximum study period of 15 months. In the first autumn and spring semesters after enrollment, students will participate in unified course learning. During the summer short semester, under the guidance of a supervisor, students will undertake comprehensive project practice. After the
completion of the practice, they will submit a practice report and participate in the defense organized by the university. Within the prescribed study period, students who fulfill the requirements of the training plan, achieve satisfactory results in coursework, and complete the comprehensive project practice will be awarded a graduation certificate.
（2）Thesis-based：The thesis-based master's program has a duration of 24 months, with a maximum study period of 36 months. In the first year, students will participate in unified course learning in the autumn and spring semesters. At the end of the first year, students who meet the requirements of the training plan can apply to switch to the thesis-based program. Before the end of the first year's spring semester, students will select a supervisor, determine the topic for their thesis, and enter the research stage. The thesis research, from proposal defense to final defense, should not be less than 6 months. Within the prescribed study period, students who pass the thesis evaluation and defense can apply for a master's degree. Upon approval by the faculty committee and the university degree committee, they will be awarded a master's degree certificate and a graduation certificate.
Program Overview
Core Courses：
（1）Intelligent Petroleum Engineering Direction
Advanced Petrophysics, Petroleum Related Rock Mechanics, Advanced Well Drilling Engineering, Intelligent Well Completion Engineering, Advanced Reservoir Engineering, Intelligent Production Engineering
（2）Intelligent Exploration Engineering Direction
Advanced Petroleum Geology, Sedimentary Processes and Sedimentary Basins, Structural Geology and Plate Tectonics, Quantitative Seismic Interpretation and Prediction, Numerical Modeling on Geothermal Reservoir Engineering, Reservoir Characterization
Teaching Languages：English
Tuition：33000 RMB/year
Course Start Date：September
Course Duration：（1）Course-based：One Year （2）Thesis-based：Two Years
Application Deadline：June 30th
Research Areas
Intelligent Petroleum Engineering
Intelligent Exploration Engineering
Requirements
Application Materials:
1. Certified highest diploma, and transcript with an average of over 70%(should be notarized by related organizations)
2. Copy of Passport,and soft copy of your passport photo with white background, photo size 480x720
3. Application form
4. Two recommendation letters
5. Study and research plan
6. IELTS 6.5 or TOEFL 80 points or more for non-native speakers of English choosing English taught programs.
7. Physical Examination report (Health Certificate )
8. Non-criminal record
Oil and Gas Artificial Intelligence -- Basic Information