8 March 20249:00 AM (CST) Join us for an engaging discussion on inclusion! Don’t miss this opportunity to engage in meaningful conversations and gain valuable insights into creating a more inclusive environment in Geophysics. Register now and be part of the change! Download flyer (pdf)
1 March | 11:00 AM (CST)Virtual Spectral decomposition is part of the geophysical workflows for 3D seismic data interpretation. Discrete frequencies that correspond to the spectral signature of a fluvial channel can be extracted. Their visualization in a RGB (Red, Green, Blue) viewer enhances the characteristic element that composes it. Download Flyer
Latest seismic imaging techniques have been applied to rejuvenate a regional 2D data located between Buenaventura and Tumaco, northwest coast of Colombia. Three different vintages datasets acquired in 1972, 1982, and 2008 have been fully matched and merged resulting a phase-balanced and uniformly scaled contiguous volume. They are upgraded through modern PSTM & PSDM imaging sequences to improve the fidelity of the data revealing previously unseen details within the basins. This area is characterized by
13 October | 10:00–11:00 AM Central Time Carbon Capture & Storage and the selection of potential sites is increasingly important. Geoex MCG has developed a study aiming to characterize the subsurface and evaluate the suitability for carbon capture sites in Texas Federal waters using ML techniques. 8 x 3D’s and 3 x 2D’s from the seismic data available at the BOEM were studied, covering an area of approximately 31,197 km2 from ‘High Island’ to ‘Brazos’
27 September 2023 | 12:00–1:00 p.m. (CDT) Accurate subsurface imaging forms a critical part of all exploration and production projects with seismic acquisition being the most common method utilized on traditional energy projects. Seismic data is also beginning to provide significant value for emerging clean energy projects where it can be used for everything from geothermal well place, the tracking of lithium brines, identification of critical mineral deposits, wind farm placement, and for delineation and
Today, over half of the world’s population lives in urban areas with a projected growth to more than two-thirds in 2050. The city-state of Singapore faces the challenges of supporting a sustainable urban system with growing population in a limited land, sea, and air space. The only direction to develop is toward the subsurface. Conventional geophysical methods are not applicable because of their disruptions to urban activities, deteriorated performance due to strong anthropogenic interference, and
Janelle will provide some background on the magnetotelluric technique. She will also explore some case studies of how and why this data is being used in Queensland.
Implicit biases are automatic, subconscious cognitive predispositions that silently impact our understanding, actions, and decisions in a wide range of contexts. Because these “mental shortcuts” arise naturally from our life experiences and cultural influences to help us efficiently navigate our worlds, all human beings have some forms of implicit bias (“favorable” or “unfavorable”) that research suggests may not match our explicit attitudes or beliefs. Left unexamined, these biases can impact our decision-making processes in ways
Near-surface geophysics spans an entire range of application, from seemingly simple work like utility locates to more complex surveys like seismic MASW. Yet, even simple projects turn complex when operating hundreds of miles from the nearest city or resources. In Alaska, complicated logistics and planning are required for remote geophysical operations, ranging from Prudhoe Bay to the western Aleutians. In a state so large and diverse, the geophysical applications are similarly broad in both locations
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.