All steps in the workflow are discussed with an eye to the theoretical foundation, alternative implementations, assumptions, strengths and weaknesses, critical parameter choices and QC aspects. They will have the basic knowledge to execute a seismic processing project under experienced supervision. They can entertain a meaningful dialogue with contractors to select an optimal processing flow and parameters, and can exercise basic QC. Attendees can better liaise and collaborate with staff in neighboring Geoscience sub-disciplines to better relay data information.

• UNDERSTAND the mechanisms of data acquisition in order to supervise or advise on the workflow execution and surveying methodology
• ENSURE quality assurance and quality control either as a supervising authority of the acquisition method or as an end user of the data sets
• CALCULATE the value of a seismic survey and the value of information (vs. how much you are willing to spend on new seismic information)
• GAIN a working understanding of a representative set of processing methods, which they may supervise or carryout themselves
• ACCOUNTABLE for the geophysical input for multi-disciplinary teams
• UNDERSTAND the principles, practices, and limitations of seismic data acquisition and processing

Exploration Geophysicists and Geologists involved in seismic acquisition and processing. Good processing is an integrated effort so the course is also targeted at those who contribute to the processing workflow and parameter selection, be it hands-on or in supervising processing done by others.

• Exploration Geophysicists/ Geoscientists
• Exploration Geologists (Seismic Interpretation)
• Seismic Interpreters & Geomodellers (End Users)
• E&P Managers
• Professionals who have been allocated crisis management tasks yet have had insufficient time to devote to the subject

DAY 1: Key Principles in Data Acquisition

• Foundation Principles in Data Acquisition
• Quality Assurance & Quality Control of Data
• Surveying Best Practices
• Sources, Detectors, and Instruments
• Exercise: Wave Propagation (Snellius, Huygens, Fermat), Data Aliasing in Time
  
  

DAY 2: Survey Design & Execution

• Survey Design & Execution
• Repeatability and Efficiency (OBS Methods, Cost Aspects, Multi-Streamers, Surveying Optimization Methods)
  
  

DAY 3: Data Preparation & Pre-Processing

• Overall Workflow of Data Processing
• Problems and Remedies to Data Pre-Processing
• Developments in Data Acquisition Geometries & Hardware
  
  

DAY 4: Advanced Data Processing

• Velocity Analysis
• Anisotropy
• Velocity Model Building and Updating using Time and Depth Migration
• Novel Migration Solutions
• AVO (Amplitude vs Offset) and AVA (Amplitude vs Angle)
• Inversion Methods
  
  

DAY 5: Data Processing & Interpretation

• Workflow from Data Processing to Interpretation
• Case Study Discussions

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.