Webinar Hosts: SEG Women's Network

Career Paths in Geophysics

This webinar will include panelists from very diverse backgrounds who will discuss their own unique experiences related to their career paths and answer questions submitted by the attendees.

How GeoScience Data Techniques can help the Assessment of the COVID-19 Pandemic

Data assimilation, a geoscience data technique that originates from meteorology and oceanography, is widely used in the oil and gas industry for assisted history matching. The method aims to find a model solution to a given dynamic problem that agrees with the observations given the uncertainties in both observations and models. In this webinar, I will give an introduction to the concept of data assimilation and introduce a number of well-known methods. I will illustrate

Investigating Data for Rock Physics Analysis

We will use data from a well log and a laboratory experiment. We play with various ways to make some rock physics assessments. We will announce the data set and their location so that listeners can access the data and work along as the lecture progresses. A lot of the work will be shown in Matlab or in Python.

Coda Wave Interferometry: Revealing the Information of Multiply Scattered Waves

What do acoustic emissions tell us about fracture initiation and propagation? What are coda waves, and why are they useful? What is seismic interferometry and how is it applied to coda waves? What can a single seismometer tell us about microseismic sources? In this webinar, I will present the basic theory of coda wave interferometry, its diverse application to multi-scale problems, and exciting opportunities to monitor the subsurface and structural materials.

Overcoming Barriers in Science

Science has a diversity problem. Women, ethnic minorities, people with disabilities, and socially disadvantaged individuals are steadily underrepresented in science and, more specifically, in academia. A growing body of literature has emerged in recent years on this issue and some institutions and scientific communities are currently seeking to increase diversity, equity and inclusion in science, technology, engineering, and mathematics (STEM). This webinar will explore two possible ways the scientific community can be actively non-discriminatory: by

Taking Seismic Geomorphology to the next level with Machine Learning

Seismic geomorphology is a technique based on pattern recognition of geologic features in subsurface seismic reflection data. While seismic geomorphology encompasses a myriad of fascinating structures, in this talk, Dr. Bedle will focus on deepwater channel systems, demonstrating how we can apply these advanced techniques. Including a primer on attribute analysis and machine learning, these methods will be discussed, demonstrating how detail seismic channel architecture can be visualized more clearly, improving our interpretation of the

SEG’s Women’s Network and Geoscientists without Borders® celebrate International Women’s Day

To honor and celebrate International Women’s Day (IWD), the SEG Women’s Network and Geoscientists *without* Borders® (GWB) are holding a joint event highlighting some of the efforts that women geoscientists are leading that contribute to a sustainable society, as well as making a positive impact in communities around the world. The theme of the celebration is “Gender equality today for a sustainable tomorrow.” This event will feature two GWB Project Leads, Katrin Sieron and Patricia

Advancing Sustainability with a Local, Regional, and Global Impact

In celebration of International Women’s Day 2022, the SEG Women’s Network and Sustainability committees are hosting a live panel — with women in leading roles in several organizations — to share how they are advancing sustainability with a local, regional, and global impact. The focus of this conversation will be on what matters the most in sustainability and the opportunities for women in this area. Speakers Moderators

Seismic Surface Waves to Interpret Subsidence Features and Cavern Roof Failure Stages

Time-lapse seismic surface-wave surveys successfully estimated shear-wave velocity (Vs) variations in a laboratory test box using a physical model designed to simulate void roof failure and migration to the ground surface. A trapdoor simulating the roof of a void, moved vertically downward while time-lapse photographs were taken to visually monitor failure features. Six pseudo-2D Vs profiles were generated using surface-wave inversion of seismic data with velocity variations interpreted and correlated to observed failure features. Based