Webinar Hosts: SEG Near Surface

16 September 20247:00 AM (CDT) There is an increasing need to develop new geophysical tools in near shore marine environments, particularly for the first tens of meter below the seafloor. This need concerns geophysical imaging for marine renewable energy or more generally for geological studies, and also for the detection and localization of ferrous and non-ferrous metallic debris (uxo, wrecks), the tracking of cable or pipelines, archeology, etc. Acoustic and seismic techniques do not always

10 June 20246:00 AM (CDT) The water quality project utilized the application of Python to analyze water quality datasets to assess potability. The datasets were obtained from the Kaggle data repository. The data obtained were various physical and chemical parameters associated with water quality such as pH, hardness, sulfate, chloramine, etc. The objective is to predict water potability, make informed decisions about water treatment processes, and ensure compliance with water quality standards. Machine learning techniques

13 May 20247:00 AM (CDT) In near-surface geophysics, accurate fault detection in Vertical Electrical Sounding (VES) data is crucial for subsurface exploration and characterization. Traditional manual methods are time-consuming and subjective, necessitating automated solutions for enhanced efficiency and precision. This project aims to develop a novel approach leveraging machine learning techniques to automate fault detection in VES data. The project’s purpose is to streamline the fault detection process, enabling rapid and objective identification of subsurface

19 March 202410:00 AM (CDT) In this webinar, we introduce you to pyGIMLi, an open-source software for Geophysical Inversion and Modelling. After giving some general information on pyGIMLi, we will demonstrate its potential by inverting field ERT data through adding increasing complexity using Jupyter Notebooks. It starts with simple raw data analysis and geometries to more complex settings, time-lapse and induced polarization. We demonstrate the capability of pyGIMLi take to control by different regularization schemes,

18 October 202310:00 –11:00 AM (CST) In California’s San Joaquin Valley, groundwater extraction is causing many adverse impacts including land subsidence and a loss of storage capacity. The remote sensing method of interferometric synthetic aperture radar (InSAR) allows us to map surface deformation across the valley with high spatial and temporal resolution, but we are only scratching the surface in using these data for groundwater management and science. InSAR data can be directly used to

21 November | 10:00 AM Central Time Data management is a crucial component of any scientific work. Being able to establish relationships between environmental datasets or query a large database with ease in order to isolate data of interest are vital skills that are required for effective scientific work. However, depending on your level of programming experience, it can be tough to figure out what’s the best route to take when starting to explore data

11 September11:00 AM–12:30 PM Securing scholarships and grants can be an empowering way to finance your education and advance your geophysics career. In order to maximize your chances of success, it is essential to approach the application process strategically and with a strong understanding of what selection committees are looking for. This webinar will provide you with valuable tips and tricks that will help you stand out among a competitive pool of applicants and increase

19 July 202310:00 –11:00 AM (CST) Understanding rapid solute transport in the subsurface of agricultural systems is crucial for quantifying nutrient loading into surrounding surface waters. In this study, time-lapse three-dimensional electrical resistivity imaging (ERI) was employed to capture solute transport dynamics in a flat, agricultural field. A saline tracer was injected directly into the saturated zone and the following day a 20-year storm event was simulated using a sprinkler system. A fanned array of