Webinar Hosts: SEG Near Surface

Integrating Machine Learning Models for Predictive Analysis in Water Quality Assessment

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

Advancing Subsurface Exploration: Precision Fault Detection in Vertical Electrical Sounding Data Through Machine Learning Innovations

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

Open-Source Software Webinar: pyGIMLi

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,

Geophysical Inversions with SimPEG: An Example with Airborne Electromagnetic Data

14 February 202411:00 AM (CST) Geophysical inversions are used to build models of the subsurface from data collected over the Earth. SimPEG, an open-source Python package, provides a versatile framework for simulating and inverting a variety of geophysical methods, including: gravity, magnetics, resistivity, induced polarization, magnetotellurics, and controlled source frequency and time domain electromagnetic data. In this tutorial, we delve into SimPEG’s comprehensive framework for setting up and running inversions, covering key components such as

Using InSAR for Groundwater Science and Management in California’s San Joaquin Valley

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

Python III

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

How to apply for scholarships and grants

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

Solute transport in the agricultural system

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


ResIPy is a software for 2D and 3D geoelectrical (resistivity and induced polarization) modeling and inversion. This Python based software aims to make cR2, R2, cR3 and R3 codes a bit more user friendly. ResIPy is a complete app in which novice users can easily create and visualize a geoelectrical model or input data and perform ERT and/or IP inversion, using the powerful inversion codes cR2, R2, cR3 and R3.In this webinar, attendees can expect