COURSE OVERVIEW:

Seismic data processing is the critical bridge between field acquisition and geological interpretation, aimed at transforming raw, noisy seismic signals into a clear image of the subsurface. This course provides a comprehensive introduction to the mathematical and physical principles used to manipulate seismic data. Participants will learn how the processing workflow is designed to enhance the signal-to-noise ratio, remove unwanted artifacts (multiples), and correct for the effects of wave propagation through complex media. The course emphasizes that the quality of the final seismic image is directly dependent on the rigorous application of these fundamental processing steps.

The coverage of this course spans the entire processing sequence, from initial data loading and conditioning to final imaging and post-stack enhancement. Key topics include signal processing theory, digital filtering, deconvolution, and velocity analysis. Participants will explore the mechanics of "Static Corrections" to account for near-surface variations and "Normal Moveout (NMO)" to align reflections before stacking. The curriculum is designed to demystify the complex algorithms used in modern processing offices, providing geoscientists with the knowledge to communicate effectively with processing contractors and perform quality control.

In the final sections, the course introduces the concepts of seismic migration, both in time and depth domains. Migration is the process of moving reflections to their correct spatial positions and collapsing diffractions, which is essential for accurate structural mapping. The course also addresses the importance of amplitude preservation for subsequent quantitative interpretation (QI) and AVO analysis. By understanding the "why" and "how" of each processing step, attendees will gain a deeper appreciation for the limitations and potential of their seismic data, leading to more informed exploration and development decisions.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the primary objectives of seismic data processing.
• Understand the mathematical foundations of the Fourier Transform.
• Identify and remove common types of seismic noise and artifacts.
• Apply deconvolution to improve vertical resolution.
• Explain the process of static corrections for land and marine data.
• Perform velocity analysis and identify primary reflections.
• Apply NMO corrections and evaluate the results of stacking.
• Distinguish between 2D and 3D processing workflows.
• Describe the principles of multiple attenuation techniques.
• Analyze the difference between Time Migration and Depth Migration.
• Evaluate the impact of processing parameters on amplitude fidelity.
• Perform quality control at key stages of the processing sequence.
• Understand the role of Signal-to-Noise Ratio (SNR) enhancement.
• Identify processing-induced artifacts in the final image.

TARGET AUDIENCE:

Geophysicists, Geologists, and Technical Assistants who need to understand the processing sequence to better interpret or manage seismic data.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.