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Advanced Seismic Acquisition and Processing (GEO 125)

COURSE SCHEDULE

Code Date Location price (€)*
GEO 125 9-13 Mar 2026 Online 3300
GEO 125 6 - 10 Jul 2026 Online 3300
GEO 125 16-20 Feb 2026 paris 4400
GEO 125 4-8 May 2026 Trondheim 4400

COURSE OVERVIEW

For processing the data the options are processing traditionally or using Full Waveform Inversion. The emphasis will be on what is appropriate. The integration with complementary non-seismic data using joint inversion methods is an essential part of the processing. The increasing influence of Machine Learning will be extensively discussed. The learning will be enhanced by exercises and quizzes. To obtain the best image of the subsurface we first need optimum acquisition. Optimum in the sense of “fit for purpose”. There are several criteria that need to be satisfied. Firstly, the area covered during acquisition should be the prospective area extended sufficiently to provide full-fold and fully imaged data. An acquisition principle that should be adhered to as much as possible is symmetric sampling, which means equal shot and receiver spacing and equal in-line and crossline distances.Several acquisition designs will be discussed, Full Nyquist, Eco-Seis, Opportunistic, Random and Ergodic design.

COURSE OUTLINE

5 days
Day 1:

o Geophysical methods

o What represents a seismic section

o Acquisition Open and Urban areas

o Land & Marine Acquisition

o Refraction

o Fresnel, Sampling & Aliasing

Day 2:

o Seismic Wave propagation

o Body & Surface Waves

o Fresnel area/volume

o Reflection & Transmission

o Stacking & Post-Stack Enhancements

o Sampling & Aliasing

Day 3:

o Seismic Processing

o Statics, Stacking Velocity.

o Multiple Elimination

o Fourier, Radon/Tau-Pi, Hilbert

o DFT, FFT

o FK/Velocity filtering

oCorrelation & Convolution

 

Day 4:

o Least Squares Deconvolution

o Time Migration, Depth Migration

o Diffraction operator

o Reverse Time Migration (RTM)

o Inhomogeneity & Anisotropy

o TD conversion by raytracing

Day 5:

o Illumination & Point-Spread-Functions

o Full Waveform Inversion

o Amplitude Analysis

o Well Seismic Profiling

o Inhomogeneity & Anisotropy

o Effective Media

INSTRUCTOR

Instructor Profile

Instructor has a PhD from Utrecht University on “Full wave theory and the structure of the lower mantle” and joined Shell Research to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. Subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben.

As part of a Quantitative Interpretation assignment, he was actively involved in managing, processing and interpreting Well Seismic Profiling data, while heading a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis. Subsequently he was responsible for Geophysics in the Shell Learning Centre and at the same time part-time professor in Applied Geophysics at the University of Utrecht. From 2001 till 2005 he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. From 2008 til 2013 he was visiting professor at the German Technical University in Muscat. Finally, he became a champion on the use of EM methods and involved in designing acquisition, processing and interpretation for Marine Controlled Source EM (CSEM) methods.

FAQ

DESIGNED FOR

The course is for geoscientists either active (geophysicists) in designing or specifying (asset team members) seismic data acquisition and processing and the integration with complementary non-seismic data.

LEARNING OBJECTIVES

The course's primary learning objectives are: 

o Fit-for-purpose 2D, 3D, 4D acquisition designs.

o Evaluation of acquisition designs using point-spread-spread-functions.

o Methods and benefits of modern processing going beyond noise suppression and migration, using all data (Full Waveform Inversion).

o Contributions of machine learning to acquisition design and processing.

o Data requirements for quantitative interpretation.

REGISTER

Registration is now OPEN!

Ph.D. students, group and early bird registrants are eligible to DISCOUNT!

For more details and registration please send email to: register@petro-teach.com

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