Podcast Tag: Machine learning

Episode 228: Key Trends That Will Shape the Oil and Gas Industry w/ Sophie Zurquiyah

“Energy transition is everywhere. It is an underlying trend, and sustainability is something that we have to incorporate into every company’s strategy.”

Sophie Zurquiyah, CEO of Viridien, provides an in-depth look at CGG’s strategic rebranding to Viridien. Listeners will gain valuable insights into Viridien’s strategies for attracting and retaining top talent, the significance of technology in addressing energy security, and Sophie’s vision for the company’s future. This episode is a must-listen for anyone interested in the evolving landscape of the oil and gas industry and the role of technology and sustainability in shaping its future.

Viridien and Bluware sponsor this episode.

Read More

Episode 227: How Experts Use Data and Technology to Navigate Subsurface Uncertainty

“Understanding the problem is sometimes often more important than getting to a solution.”

Madhav Vyas and Dr. David Lubo-Robles discuss June’s The Leading Edge on subsurface uncertainty. They explore the complexities of predicting subsurface outcomes and the various sources of uncertainty that geophysicists must address. The episode also covers the impact of interface rugosity on wave propagation, methods for assessing uncertainty in seismic workflows, and the benefits of using invertible neural networks. Listeners will gain insights into the challenges and solutions related to subsurface uncertainty, the importance of critical thinking in geoscience, and the potential of emerging technologies to improve subsurface predictions.

Bluware sponsors this episode.

Read More

Episode 218: Innovations in Fault and Fracture Imaging (Molly Turko)

“Faults and fractures are not necessarily good or bad, but it’s important to really understand them.”

Dr. Molly Turko discusses March’s special section on imaging faults and fractures in The Leading Edge. Molly sheds light on the crucial role of imaging these hidden networks in understanding their impact on production, injection, and completions. With a clear message that faults and fractures are neither inherently good nor bad, this conversation challenges common misconceptions and emphasizes the importance of detailed imaging to gauge their significance.

Read More

Episode 217: Advancing Subsurface Knowledge Through Microseismic Insights (Joël Le Calvez)

“The value is not in the measurement per se. It is in the ability to integrate this measurement with everything else that we have access to.”

Dr. Joël Le Calvez discusses January’s special section in The Leading Edge on microseismic monitoring. Joël shares how recent technological advancements and pressing societal concerns, like climate change and sustainability, are pushing microseismic monitoring to the forefront of geophysical research. This episode will help you reflect on the next frontier in microseismic monitoring and how it will shape our understanding of the subsurface.

Read More

Episode 216: Rethinking Data – Geophysics in the Era of Change (Lindsey Heagy)

“There’s so much high-quality data, and more and more is being made publicly available. By shifting to open source, we’re choosing that the value proposition is the people.”

Dr. Lindsey Heagy discusses February’s special section in The Leading Edge on the future of applied geophysics. She shares her insights on the power of open-source software to democratize science, allowing a broader community to engage in problem-solving and innovation. This episode is a treasure trove for anyone interested in the intersection of technology, education, and research. And it highlights how the open-source movement is redefining the value of scientific contributions.

Read More

Episode 210: Unveiling Seismic Secrets – Inside Machine Learning’s Black Box

“It’s ​not ​like ​machine ​learning ​will ​solve ​all ​the ​problems. ​It’s ​not ​a ​magical ​tool.”

David Lubo-Robles highlights his award-winning paper that utilized novel machine learning methods to enhance interpretability in seismic volume data from the Gulf of Mexico. Listeners will gain insight into the critical role of input quality in machine learning outcomes, the importance of balancing datasets, and the necessity of geoscientific validation. The episode also addresses common misconceptions about machine learning in geophysics, emphasizing the need for critical thinking and geological knowledge to apply these advanced techniques.

Read More

Episode 209: Thinking like an algorithm – utilizing machine learning in seismic data

“The driving objective of AASPI is to try and reveal and see more patterns in the seismic data than we can see just looking at the seismic amplitude data.”

Heather Bedle, Principal Investigator at Attribute Assisted Seismic Processing and Interpretation (AASPI) at the University of Oklahoma, joins Seismic Soundoff. In this episode, you will discover how AASPI reveals hidden patterns in seismic data, pushes the boundaries of geologic interpretation, and reshapes our understanding of the Earth using cutting-edge research and technology.

Read More

Episode 208: Pioneering Seismic Imaging for Energy and Sustainability

Biondo Biondi, the Director of the Stanford Earth imaging Project (SEP), discusses SEP’s 50-year history and future outlook. Biondo reflects on SEP’s founding during the 1970s oil crisis and today as it tackles modern energy challenges. Biondo discusses how improving seismic imaging can support the future of carbon capture and geothermal energy and help build resilient cities. He also shares why he believes so many SEP alums have been guests on this podcast!

Read More

Episode 196: The sound of seismic

Paolo Dell’Aversana highlights his article in The Leading Edge, discussing a dual-sensory approach to understanding seismic. Based on concepts well-established in cognitive sciences, Paolo introduces the idea of expanded imaging in geophysics, using a dual-sensory (audiovisual) perception of a data set. In this episode, Paolo explains the basic principles of multimodal seismic data analysis using augmented imaging theory. He shares the advantages and limitations of converting seismic data into an auditory format and outlines how geophysicists can start with this approach today. This episode unlocks secret information hiding in your seismic data waiting to be discovered.

Read More

Episode 194: Improving integration in machine learning workflows

Felix J. Herrmann discusses his open-access article, “Learned multiphysics inversion with differentiable programming and machine learning.” He shares why the future of the oil and gas industry depends on the democratization of technology design. He provides insights into why modernizing wave-equation inversion frameworks is important to geophysics and shares the implications for the results of his study. This episode provides a glimpse into the future capabilities of machine learning to help provide the path for the next great discoveries in geophysics.

Read More
ADVERTISEMENT