224: The Physics Behind Land Seismic Noise (Christof Stork)
Seismic Soundoff6 Juni 2024

224: The Physics Behind Land Seismic Noise (Christof Stork)

"With ​every ​new ​acquisition, ​spend ​2% ​of ​your ​budget ​to ​do ​research ​to ​understand the ​noise ​and ​signal ​drivers ​in ​your ​area. ​It ​might ​help ​any ​future ​neighboring ​acquisition, ​or ​it ​might ​just ​help ​the ​field ​in ​general, ​​which ​you ​and ​your ​career ​will ​benefit ​from." Dr. Christof Stork discusses his Distinguished Lecture, "How Does the Thin Near Surface of the Earth Produce up to 100 Times More Noise on Land Seismic Data than on Marine Data?". OVERVIEW > The significance of addressing noise in near-surface land seismic data > The interplay of theoretical and practical approaches in seismic noise reduction > The importance of coherent noise removal before statistical noise removal > The limitations and future potential of FWI in land seismic > The role of research and development in improving land seismic data quality > The impact of corporate and economic structures on seismic research investment Along with host Andrew Geary, Christof delves into the intricate world of land seismic noise. Noise is a significant challenge in land seismic data that has long been overlooked. Christof focuses on the complexities of land seismic noise and innovative methods to address it. Christof's journey into addressing land seismic noise began with his fascination for land data and its significant yet under-researched impact on seismic imaging. Despite the advancements in marine processing and pre-stack depth migration, land seismic methods have yet to see comparable progress. He emphasizes the need for more attention and funding in this area, highlighting how crucial it is for improving seismic data quality. Christof also illuminates the concept of "poor coupling," a term that describes the disconnect between surface geophones and the wave field at greater depths. He argues that understanding the physics behind poor coupling can lead to better signal extraction and improved seismic data quality. One key takeaway from Christof's discussion is the importance of combining theoretical and practical approaches to tackle land seismic noise. He explains that while traditional methods rely heavily on statistical noise removal, this is limited in effectiveness. Instead, Christof advocates for a focus on coherent noise removal, which can significantly enhance the effectiveness of statistical methods and reduce the need for excessive data collection. Christof's passion for land seismic research is evident as he calls for more investment in R&D from both the industry and academic communities. He stresses the potential benefits of dedicating a small percentage of acquisition budgets to research and creative experimentation, which could lead to significant advancements in seismic imaging. Listeners will better understand why land seismic noise remains a complex problem and the potential pathways to progress. LINKS * Visit https://seg.org/podcasts/episode-224-the-physics-behind-land-seismic-noise-christof-stork/ for the complete interview transcript and to register for the DL. GUEST BIO Christof Stork started as a theoretical academic with a PhD in geophysics from Caltech and a post-doc from Stanford 36 years ago. He performed early leading work in reflection tomography, PSDM, WEM, RTM, and FWI before they became mainstream technologies. Ten years ago, he decided to take on noisy land seismic data where more than theory is needed. Christof has been involved with four startup companies in his quest to avoid Houston and make theory commercially viable. He’s now on his fifth, last, and craziest startup company, a land seismic processing company so that he can get his hands on more land data. SHOW CREDITS Andrew Geary at TreasureMint hosted, edited, and produced this episode. The SEG podcast team comprises Jennifer Cobb, Kathy Gamble, and Ally McGinnis. If you have episode ideas or feedback for the show or want to sponsor a future episode, email the show at podcast@seg.org.

Avsnitt(301)

OTC 2026 Emerging Leaders on the Future of Offshore Energy Collaboration

OTC 2026 Emerging Leaders on the Future of Offshore Energy Collaboration

“Nothing can happen in a vacuum anymore. We need to have the developers talking to the geoscientists, talking to the environmental professionals.” Two OTC 2026 Emerging Leaders share why the future o...

23 Apr 28min

Why Seismic Acquisition Is Making a Quiet Comeback

Why Seismic Acquisition Is Making a Quiet Comeback

"What has happened in the last few years is exploration overall has taken a little bit of a backseat. So they are starting to relook at seismic acquisition to explore new areas and solve more complex ...

16 Apr 27min

From Hype to Reality: What Machine Learning Can Actually Do

From Hype to Reality: What Machine Learning Can Actually Do

“You can't be stationary in this field. I've never seen anything like it." Machine learning is changing geophysics faster than most people expected, but knowing what actually works versus what is hyp...

9 Apr 27min

DAS and Seismic Innovation: What Geophysicists Need to Know

DAS and Seismic Innovation: What Geophysicists Need to Know

"For early career geophysicists, I think it's really important to understand that DAS is going to have a unique role in reservoir management, be it onshore or offshore." Distributed acoustic sensing ...

19 Mars 27min

From Oil and Gas to Offshore Wind: Why Everyone Meets at OTC

From Oil and Gas to Offshore Wind: Why Everyone Meets at OTC

“And what the world really needs is this flexibility on energy and the agility to ensure access and affordability. And that's where steering the offshore energy business is really critical.” Offshore...

12 Mars 29min

Applying Near-Surface Geophysics to Agricultural Challenges

Applying Near-Surface Geophysics to Agricultural Challenges

“It’s not only about discovering resources, but about safeguarding them and safeguarding our future. When you understand the subsurface, you understand the foundation of food security, water security,...

5 Mars 26min

Inside the Workflow - Unsupervised Machine Learning for Seismic Interpretation

Inside the Workflow - Unsupervised Machine Learning for Seismic Interpretation

“The major pitfall of machine learning of any kind is to be overly confident in the results. We run the risk of garbage in gospel out.” This discussion offers a rare chance to go a little deeper into...

19 Feb 35min

Why High-Performance Computing Is No Longer Optional in Geophysics

Why High-Performance Computing Is No Longer Optional in Geophysics

“I think that for geophysicists out there, people need to realize that it's an integrated career path. You can't separate the geophysics from the HPC anymore, if we ever did to begin with.” High-perf...

12 Feb 21min

Populärt inom Vetenskap

p3-dystopia
dumma-manniskor
allt-du-velat-veta
kapitalet-en-podd-om-ekonomi
det-morka-psyket
rss-ufo-bortom-rimligt-tvivel-2
rss-spraket
svd-nyhetsartiklar
rss-vetenskapsradion-2
medicinvetarna
rss-vetenskapsradion
bildningspodden
sexet
paranormalt-med-caroline-giertz
dumforklarat
halsorevolutionen
hacka-livet
rss-odla
vetenskapsradion
rss-tidslinjen-podcast