The main objective of this course is to provide a learning platform for developing hands-on experience of seismic data interpretation using the Petrel software package. The course will cover geological and geophysical information required for visualization and interpretation of seismic data. The course is beneficial for students and professionals in the geophysical and geomechanics fields. Main topics covered in the course include data loading (logs and seismic data), data QC and visualization, 3D seismic data interpretation, surface generation, velocity model building, and depth conversion.
COURSE OUTLINE • Petrel basics • Data preparation • Data visualization and QC • Seismic interpretation in time domain • Velocity model building • Depth conversion • QC methods
COURSE SCHEDULE Day 1: – Course overview and objective – Data loading and QC – Geophysical basics – Contour mapping exercise – Interpretation basics – Depth conversion overview – Mapping exercise
Day 2: – Practical seismic data interpretation – Velocity model building – Depth conversion
Session Time: 9:00 am – 1:30 pm CST (Central Time, Chicago-St. Louis)
COURSE FORMAT Synchronous (live online) The online presentation platform will be notified to the students two weeks prior to the start date. Course materials and recorded videos will be available for participants up to two months after the end date of the course.
*Please email the scan of your student ID and course title to [email protected] to receive your student discount coupon.
CERTIFICATE Mohr Academy Certificate will be awarded to the participants upon successful completion of the course. The certificate includes 8 PDH’s (Professional Development Hours) TOOL USED Petrel (Schlumberger Software)
Course Developer & Instructor
SEYEDALIREZA KHATIBI , Ph.D. Postdoctral Fellow, The University of Texas Austin
Dr. Khatibi is a petroleum engineer with four years of work experience on seismic data interpretation. He is a machine learning aspirant, and learner through online courses focused on various machine learning (regression, classification, and clustering) techniques and application on different data. Dr. Khatibi pursued his Ph.D. in petroleum engineering from the University of North Dakota and became a postdoctoral researcher at University of Texas at Austin.
Dr. Khatibi has extensive experience in viability of spectroscopy methods to detect thermal maturity, structural evolution, and heterogeneity of organic matter and individual macerals. His other research and professional projects include methane hydrate study, petroleum exploration, interpreting 2D and 3D seismic data on the basis of velocity model construction and ultimate depth conversion for geological modeling, seismic reservoir characterization using post-stack inversion methods for well placement, and 1D mechanical earth models to obtain the safe mud-weight window for drilling future wells.