164 episodes

In-depth conversations in applied geophysics from the Society of Exploration Geophysicists (SEG). With new episodes monthly, Seismic Soundoff highlights industry leaders; emerging research and technology; the social contributions of geoscience; and the latest geophysical, environmental, and engineering applications.

Seismic Soundoff Society of Exploration Geophysicists (SEG)

    • Science
    • 5.0 • 36 Ratings

In-depth conversations in applied geophysics from the Society of Exploration Geophysicists (SEG). With new episodes monthly, Seismic Soundoff highlights industry leaders; emerging research and technology; the social contributions of geoscience; and the latest geophysical, environmental, and engineering applications.

    163: The next step in the evolution of time-lapse electrical imaging

    163: The next step in the evolution of time-lapse electrical imaging

    Tim Johnson discusses his article in August's The Leading Edge about real-time electrical resistivity tomography (ERT).

    Time-lapse electrical imaging has been used for diverse scientific and engineering problems to monitor changes in the subsurface associated with fluid injections, fluid flow, solute transport, phase changes, and other physical and chemical processes. The burgeoning applications of time-lapse electrical imaging underscore its potential to provide valuable, qualitative insight to support the development of conceptual models of subsurface frameworks and processes. Tim and his co-authors posit that the next step in the evolution of time-lapse electrical imaging is autonomous, real-time monitoring, which has the potential to support real-time management decisions and feedback control of subsurface systems.

    Tim presents a framework for autonomous, real-time electrical imaging. He also shares two case studies of the framework in action and potential areas of development for this work. This forward-looking conversation utilizes machine learning and the latest electrical geophysical instrumentation to highlight what the future can be for hydrogeophysics.

    Listen to the full archive at https://seg.org/podcast.

    BIOGRAPHY
    Dr. Tim C. Johnson is a computational scientist in subsurface geophysical imaging and interpretation related to complex environmental challenges and energy applications.

    He is nationally and internationally recognized for his work in electrical resistivity tomography (ERT) as a characterization and monitoring technology. He pioneered the development of E4D-RT, a real-time, four-dimensional subsurface imaging software that allows scientists to “see” subsurface processes and solutions in real-time. Tim and his team received a prestigious R&D 100 Award in 2016 for this tool.

    As a senior research scientist, Tim joined the Pacific Northwest National Laboratory in 2010. He worked at Idaho National Laboratory from 2007-2010 and, before that, was a staff engineer at American Geotechnics. Tim is focused on joint inversion of multiple geophysical techniques using parallel computing to improve time-lapse imaging.

    RELATED LINKS
    * Tim Johnson, Chris Strickland, Jon Thomle, Fred Day-Lewis, and Roelof Versteeg, (2022), "Autonomous time-lapse electrical imaging for real-time management of subsurface systems," The Leading Edge 41: 520–528. (https://doi.org/10.1190/tle41080520.1)
    * Frederick D. Day-Lewis and Arpita P. Bathija, (2022), "Introduction to this special section: Hydrogeophysics," The Leading Edge 41: 518–518. (https://doi.org/10.1190/tle41080518.1)
    * Read the August 2022 special section: Hydrogeophysics (https://library.seg.org/toc/leedff/41/8)

    Subscribers can read the full articles at https://library.seg.org/, and abstracts are always free.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members and the scientific community and to inform the public on the value of geophysics. To show your support for the show, please leave a 5-star rating on Apple Podcasts and Spotify. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 15 min
    162: How rocks heal

    162: How rocks heal

    Roel Snieder discusses his 2022 SEG-AAPG Distinguished Lecture, "Measuring variations in the seismic velocity as a diagnostic of rock damage and healing."

    Interferometric methods in seismology have made it possible to detect time-lapse changes in seismic velocity with an accuracy of about 0.1%. Combined with using noise as a seismic source, it is under the right conditions possible to detect such velocity changes on a near-continuous basis.

    In this conversation with host Andrew Geary, Roel shows surprisingly that the seismic velocity is not constant at all. It varies with the seasons, temperature, precipitation, and ground shaking. He also discusses how logarithmic healing in rocks is a widespread behavior that is akin in its generality to the Gutenberg-Richter law. Roel also provides insights into the role of spirituality in science and offers actionable tips on preventing burnout. This is a wide-ranging conversation with surprising insights into rocks, as well as how to live a successful life.

    RELATED LINKS
    * Register for Roel's course for free (13 September 2022; 8 November 2022) (https://seg.org/Education/Lectures/Distinguished-Lectures/2022-dl-roel-snieder)
    * Learn more about Roel's books (https://inside.mines.edu/~rsnieder/Joy_of_Science.html)
    * Discover SEG on Demand (https://seg.org/Education/SEG-on-Demand)

    BIOGRAPHY
    Roel Snieder holds the W.M. Keck Distinguished Chair of Professional Development Education at the Colorado School of Mines. He received in 1984 a Master's degree in Geophysical Fluid Dynamics from Princeton University and in 1987 a Ph.D. in seismology from Utrecht University.

    In 1993 he was appointed as professor of seismology at Utrecht University, where from 1997-2000, he served as Dean of the Faculty of Earth Sciences. Roel served on the editorial boards of Geophysical Journal International, Inverse Problems Journal, Reviews of Geophysics, the Journal of the Acoustical Society of America, and the European Journal of Physics. In 2000 he was elected as a Fellow of the American Geophysical Union. He is the author of the textbooks A Guided Tour of Mathematical Methods for the Physical Sciences, The Art of Being a Scientist, and The Joy of Science, published by Cambridge University Press. In 2011 he was elected an Honorary Member of the Society of Exploration Geophysicists, and in 2014 he received a research award from the Alexander von Humboldt Foundation. In 2016 Roel received the Beno Gutenberg Medal from the European Geophysical Union and the Outstanding Educator Award from the Society of Exploration Geophysicists. In 2020, he received the Ange Melagro Prize for his outstanding class Science and Spirituality. From 2000-2014 he was a firefighter in Genesee Fire Rescue, where he served for two years as Fire Chief.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 23 min
    161: The Benefits of ML & AI Hinge on a Common Denominator

    161: The Benefits of ML & AI Hinge on a Common Denominator

    Chris Hanton, Director of Digital Transformation Solutions at Ikon Science, discusses the latest insights using machine learning and artificial intelligence.

    In this conversation with host Andrew Geary, Chris highlights one frequently overlooked variable that can undermine the best technology. He also shares how technologists can ensure data is trustworthy and valuable, when cutting-edge analytics can produce better than the best geophysical minds, and presents the use case for investing in machine learning and AI outside of increased efficiency. Chris also spotlights machine learning's role in addressing climate change and ends with some new developments that will surprise people.

    This is a deep dive into the role of quality data (https://www.oilandgaseng.com/articles/the-common-denominator-that-analytics-hinge-on/) in cutting-edge work and the best ways to harness the benefits of machine learning and artificial intelligence.

    BIOGRAPHY
    Chris Hanton oversees the scoping, management, and delivery of solutions to improve the accessibility, quality, and availability of subsurface data across our client organizations.

    Chris first joined the industry in 2008, first as a mudlogger before moving into a role as a project petrophysicist, with these positions providing valuable insight to both the potential of data and the all-too-common bottlenecks that organizations face when it comes to extracting maximum value form their information stores.

    Since joining Ikon in 2018, Chris has worked closely with a range of client organizations varying in size and digital maturity. Chris and his team interact with a variety of stakeholders, covering both end-user and management teams to build pragmatic solutions to data challenges in a timely manner, improving the ability of subsurface teams to action effective decision-making and positively influence the overall business of the client. The delivered solutions look to work efficiently with existing business rules and standards whilst allowing the client to develop new data procedures as necessary. Chris has an MeSci from the University of Liverpool in Geology and an MSci from the University of Aberdeen in Integrated Petroleum Geoscience.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 21 min
    160: Honors and Awards 2022 w/ Öz Yilmaz & Xianhuai Zhu

    160: Honors and Awards 2022 w/ Öz Yilmaz & Xianhuai Zhu

    One of SEG's great traditions is the special recognition of individuals and organizations for their contributions to geophysics and the Society. In this special episode, we celebrate Öz Yilmaz and Xianhuai Zhu for their Maurice Ewing Medal and Virgil Kauffman Gold Medal honors, respectively.

    Bill Abriel opens the episode highlighting the significance of both the Kauffman Gold Medal and the Maurice Ewing Medal. As SEG's past president and current chair of the Honors and Awards Committee, he also shares what the SEG Honors and Awards mean.

    Andrew Geary then speaks with Xianhuai Zhu about how he discovered geophysics and shares four advice items for his colleagues and geoscientists. Öz Yilmaz then joins the show to reflect on his long and significant career, what this honor means, and the principles and perspectives that have helped him continue to be a successful geophysicist.

    This is a unique opportunity to hear from the best of the best in geophysics.

    Read the full show notes at https://seg.org/podcast/Post/15809.

    RELATED LINKS
    * August 28, 4:00-6:00 pm - Opening Session, Presidential Addresses, and Awards Ceremony (Öz Yilmaz and Xianhuai Zhu will receive their awards)
    * August 30, 6:30-7:30 pm - SEG Honors & Awards Ceremony
    * Read the IMAGE Preview in The Leading Edge (https://library.seg.org/doi/10.1190/tle41070446.1)
    * Register for IMAGE (https://www.imageevent.org/)
    * (2022), "SEG 2022 Honors and Awards Citations," The Leading Edge 41: 558–571. (https://doi.org/10.1190/tle41080558.1)

    SPONSOR
    Katalyst Data Management sponsors this episode.

    Katalyst Data Management® provides the only integrated, end-to-end subsurface data management solution for the oil and gas industry. Over 190 employees operate in North America, Europe, and Asia-Pacific, dedicated to enabling digital transformation and optimizing the value of geotechnical information for exploration, production, and M&A activity.

    Visit Katalyst at IMAGE in booth 721! They will be showing presentations and live demos. You can also request more information and demos at https://katalystdm.com.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 23 min
    159: Optimizing the benefits of machine learning for scientific problems

    159: Optimizing the benefits of machine learning for scientific problems

    Souvik Mukherjee discusses his article in July's The Leading Edge about high-resolution imaging of subsurface infrastructure using AI.

    The use of drones for geophysical data acquisition and artificial intelligence (AI) for geophysical data processing, imaging, and interpretation are active focus areas in current industry and academic applications. Unlocking their cumulative potential in single-focus applications can have a transformative impact, possibly leading to dramatic cost reductions in key use cases and new application areas for enhanced actionable business intelligence.

    In this conversation, Souvik presents field study results from Texas and California that show the potential for imaging pipelines and other subsurface infrastructure using AI-based methods on high-resolution aboveground magnetic data. He also highlights the similarities and differences between conventional least-squares inversion and machine learning-based inversion and how he achieved a 100-fold increase in efficiency. Whether exploring AI, machine learning, algorithms, or the latest geophysical technology, this conversation has something for everyone.

    RELATED LINKS
    * Souvik Mukherjee, Ronald S. Bell, William N. Barkhouse, Santi Adavani, Peter G. Lelièvre, and Colin G. Farquharson, (2022), "High-resolution imaging of subsurface infrastructure using deep learning artificial intelligence on drone magnetometry," The Leading Edge 41: 462–471. (https://doi.org/10.1190/tle41070462.1)
    * Yaoguo Li and Chester J. Weiss, (2022), "Introduction to this special section: Potential fields," The Leading Edge 41: 452–452. (https://doi.org/10.1190/tle41070452.1)
    * Read the July 2022 special section: Potential fields (https://library.seg.org/toc/leedff/41/7)

    Subscribers can read the full articles at https://library.seg.org/, and abstracts are always free.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 21 min
    158: What geophysicists and engineers need to know about DAS

    158: What geophysicists and engineers need to know about DAS

    Mark Willis discusses his upcoming Distinguished Instructor Short Course, "Distributed acoustic sensing for seismic measurements – what geophysicists and engineers need to know."

    Geoscientists and engineers are very comfortable using seismic data sets acquired with geophones, hydrophones, and accelerometers because they have a long, well-defined set of standards for acquiring, processing, and interpreting them. However, distributed acoustic sensing (DAS) seismic measurements are rapidly augmenting and, in some cases replacing the data from these conventional tools.

    In this conversation with host Andrew Geary, Mark helps geoscientists and engineers build intuition and understanding of DAS seismic technology's value, limitations, and applications. Mark also discusses the most common objection to DAS, when DAS is better than conventional seismic acquisition, and tips for someone planning their first DAS seismic survey. Mark will be teaching this course for the first time at IMAGE, and this is a great preview of the valuable, insightful, and helpful tools and resources you will gain from this course.

    RELATED LINKS
    * Register for Mark's course at IMAGE - 26 August (https://seg.org/shop/products/detail/443222174)
    * Learn more about Mark's course and see the latest schedule (https://seg.org/Education/Courses/DISC/2022-2023-DISC-Mark-Willis)
    * SEAFOM (https://seafom.com/)
    * Discover SEG on Demand (https://seg.org/Education/SEG-on-Demand)
    * See the entire archive of the SEG podcast (https://seg.org/podcast)

    BIOGRAPHY
    Mark E. Willis is the Chief Scientific Advisor of Borehole Seismics at Halliburton. He is responsible for mentoring technologists, developing and promoting geophysical innovations, and fostering long-term client relationships. Previous to joining Halliburton in 2011, he worked in various research technology, supervisory, and management positions at Mobil Oil, Cambridge GeoSciences, Massachusetts Institute of Technology Earth Resources Laboratory, and ConocoPhillips.

    In his career, he has performed research and development in distributed acoustic sensing, VSP technology, deep sonic log imaging, fracture identification using seismic data (time-lapse VSP, microseismics, and surface seismic scattering), interferometric imaging, Kirchhoff and reverse time depth migration, full waveform inversion, machine learning, velocity model building, and sonic waveform processing.

    Willis holds a B.S. in Applied Math and Physics from the University of Wisconsin – Milwaukee and a Ph.D. in Geophysics from MIT. He has written over 100 papers, publications, and presentations and holds multiple patents. He is a member of the SEG, EAGE, SSA, SPWLA, and ASA.

    CREDITS
    SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases.

    Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode for 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

    • 18 min

Customer Reviews

5.0 out of 5
36 Ratings

36 Ratings

@nextgen_geophysical ,

The best geophysical podcast

Thank you for producing these great shows! I listen while running - keep it up!!!!

Aillemaco ,

This is a fantastic delivery from SEG!

It's about time we have something that we can listen to on the go. The material covers a diverse range of topics under the geoscience umbrella and I believe that those of different levels of interest in this field would have the opportunity to seek breadth in learning through these podcasts. I just informed my colleagues about this. Hope they'll find it enjoyable too.

Jorge F. Concheso ,

A must-listen for any geoscientist

I started listening to Seismic Soundoff a couple of weeks ago, and I became inmediately hooked. What a great show! There is a phenomenal variety in the topics presented. It is a treat to listen to household names in the industry, like Kurt Marfurt, Jim Gaiser, Lev Vernik, among many others. And Andrew does a superb job as a host!

Congrats Andrew and Isaac, keep up the good work!

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