Description This course presents a simple and informal discussion of the fundamental concepts which underlie the quantitative part of geophysical analysis and interpretation. These general concepts are applicable for an analytical approach to any phenomena that can be measured and recorded and includes examples and exercises created and analysed using Microsoft Excel®. Duration 16 hours Intended Audience The course is generally for anyone with an interest in learning or refreshing their understanding of the fundamentals
This course covers practical aspects of signal theory and inverse problems with application to seismic data processing. In particular, the course stresses regularization methods for inverse problems that arise in the inversion of seismic data, noise elimination and reconstruction of seismic surveys. The course is intended for geophysicists working in data processing, R&D, and for people with interest in understanding current and emerging technologies for seismic data processing. Please contact the instructor for more information.
The presentations will focus on fundamental principles and applications, emphasizing case studies and minimizing mathematics. Duration Two days Intended Audience Intermediate Level Prerequisites (Knowledge/Experience/Education required) 4D seismic interpretation is inherently integrative, drawing upon geophysical, geological, and reservoir engineering data and concepts. As a result, this course is appropriate for individuals from all subsurface disciplines. The presentations will focus on fundamental principles and applications, emphasizing case studies and minimizing mathematics. As a result, attendees do not
This course reviews mathematics from high-school and university, and then expands their concepts with practical examples to provide the fundamentals that are required for developing practical applications and algorithms in seismic processing. The content of the course is designed to include practical examples from seismic processing to reinforce the basic concepts, and will be repeated, where appropriate, to maintain a common thread throughout the development of the mathematical material. Duration Two days Intended Audience Entry
In this course, the participants get access to codes and algorithms in python/tensorflow and they apply these software tools on various types of the data. It is a hands-on course that allows participants to learn by assembling various programming modules to design interesting implementations of machine learning. We’ll look at the realities of a pure machine learning approach through the lens of applied field cases relevant to formation evaluation, reservoir engineering, and production forecasting. Intended
This course is designed at an introductory level to cover in some details the theoretical background and the practical applications of digital signal analysis in seismic data processing. The course describes the basic definitions of digital filters, their coefficients, and their manipulations in time and in frequency domains. The sampling theory and the wavelet concept are introduced. The design and the applications of least-squares filters are covered. Applications of different types of deconvolution filters such
This course will provide the basis for Ambient Seismic Noise Surface Wave Tomography. It will include seismic noise virtual Green’s functions reconstruction, surface wave dispersion curves measurements and inversion for a 3D S-wave velocity model. Duration 2 days Intended Audience Intermediate Level Prerequisites (Knowledge/Experience/Education Required) Seismic methods, Seismology Course Description The course will be divided in four sections. In a first part, the course will give an overview of the theory of seismic surface waves