Integrated Seismic Data Interpretation (GPHY 7153)  [Class Photo - FALL 2007]

Prerequisites: GPHY 4003, GEOL4063, or permission.
Syllabus
· Geology and seismic sections
· Lithology and reflections
· Reflections associated with hydrocarbon accumulations and diagenetic effects
· Structural features and reflections
· Seismic stratigraphy
· Principles of 2-D/3-D data interpretation
· Data preparation and preliminary studies tying well and seismic data
· Horizon picking
· Contouring and mapping
· Integration of seismic, well-log, gravity and magnetic data for interpretation
· Pitfalls in seismic interpretation
· Seismic attributes

Books
Seismic Interpretation: The Physical Aspects by Anstey (IHRDC)
Practical seismic Interpretation by Michael Badley (IHRDC)
Interpretation of Three Dimensional Seismic Data by A. Brown (AAPG/SEG)
Fundamentals of Geophysical Interpretation L. Lines and R. Newrick (SEG)
Applied Subsurface Geological Mapping, D. Tearpock & R. Bischke
Applications of 3D Seismic Data to Exploration & Production, AAPG Studies in Geology

Grading: Based on take home problem sets, class discussion, readings from the literature, seminars, mid-term and final exam

Exploration Seismology (GPHY 7133)

Offered: every alternate year
The exploration seismology course will offer mathematical treatment of wave propagation theory pertinent to hydrocarbon exploration. The course will focus on field design criteria for data acquisition and theoretical aspects of seismic data processing.

Special Processing of Seismic Data (GPHY 7183)

Practical seismic data processing - 2D/3D data. Seismic data structure 2D/3D, conventional processing , post-stack processing for coherence, pre-stack processing of seismic data for amplitude variation with offset (AVO), velocity analysis, residual static, migration, random noise attenuation

Time Series Analysis and Inverse Theory (GPHY 7173)

Z-Transform, Fourier transform, processing time sequences, processing two dimensional data, filtering, linear parameter estimation, non-linear inverse problem, global optimization, simulated annealing and genetic algorithms