Introduction to January Focus: Emerging Technologies: Machine Learning

Hoda Rashedi

Surprisingly, the first time I was exposed to the basic concept of Machine Learning was at one of my undergraduate course called, “Philosophy of mind”. That was the first time, I was learning about how our brain functioning and how it could be biased. The year after, I took General… continue reading.

A Gentle Introduction to Machine Learning

Mark Dahl

Machine learning has generated a lot of excitement in recent years. It is only a matter of time before machine learning becomes commonplace in geoscience. There are many reasons for this that I could argue, but two come immediately to mind: machine learning has enjoyed incredible success in similar data-rich… continue reading.

Machine Learning in Geoscience V: Introduction to Classification with SVMs

Matteo Niccoli

In this machine learning tutorial, I intend to provide readers with an intuitive understanding of how Support Vector Machines (SVMs) work and how they are used to solve classification problems. I will utilize Scikit-learn [2], a Python library, and a few toy datasets inspired by classic examples with an added… continue reading.

Geochemical Facies Analysis Using Unsupervised Machine Learning

Brendon Hall

This tutorial will demonstrate step-by-step how to build a practical geoscience machine learning workflow using Python and scikit-learn. The practice of extracting insights from large datasets has certainly caught mainstream attention in recent years. Software packages are emerging with multivariate statistics and machine learning algorithms built in to workflows. As… continue reading.

Denoising Seismic Records with Image Translation Networks

Graham Ganssle

Denoising data is the essence of discovery. Raw seismic data are a jumbled collection of bits bearing little resemblance to geology. All of the steps in the seismic data processing workflow, including deconvolution, migration, and stacking are noise reduction techniques designed by geophysicists to highlight a certain type of signal… continue reading.

Properties of Propagating Wavelets with Severe Short-Period Internal Multiples

Fred Hilterman and Leila NAILI DOUAOUDA

Seismic waves propagating through cyclical thin beds, which have a large acoustic impedance (AI) contrast to the surrounding sedimentary sequence, have distinct wavelet signatures. At depth, the wavelets have a low-frequency Gaussian-shaped signal followed by high-frequency noise coda. These complex wavelets often yield seismic with discontinuous primary reflections that have… continue reading.

An interview with Paul Hatchell

Paul Hatchell is Shell’s principal technical expert for 4D reservoir surveillance, and 2017 SEG Distinguished Lecturer.

An interview with Jonathan Matthews

Jonathan Matthews is Director, Greenhouse Gases EPA at COSIA, and discusses improvements made in water use, tailings management, reclamation and GHG sequestration.

An interview with Eric von Lunen

Eric von Lunen is an experienced geophysicist who is known for his reservoir characterization expertise for conventional, as well as low porosity/perm unconventional plays.

An interview with Amy Fox

Amy Fox has been involved in geomechanical consulting in the oil and gas industry for more than 15 years. She has worked for GeoMechanics International (GMI) in California and Houston, and later when it became part of Baker Hughes in Houston and Calgary. Subsequently, she was the Geomechanics Director at Canadian Discovery Ltd., Calgary. Now she is President and co-founder of Enlighten Geoscience Ltd., Calgary.