Podcast Tag: Machine learning

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.

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.

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.

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.

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.

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!

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.

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.

Episode 189: How to apply machine learning to real-world problems

Mathematician Herman Jaramillo discusses his new book, Machine Learning for Science and Engineering Volume One: Fundamentals. As the size and complexity of data soars exponentially, ML has gained prominence in applications in geoscience and related fields. ML-powered technology increasingly rivals or surpasses human performance and fuels a large range of leading-edge research. This conversation explores the hottest topics facing students, scientists, and engineers and provides a solid foundation to understand how to utilize this cutting-edge science in your work.

Episode 166: Integrating digital transformation into your business

Steve Darnell discusses how digital transformation improves business processes in-depth. He emphasizes the importance of cybersecurity, how to start the digitalization process, and highlights the common obstacles companies face when embracing digital transformation. He also comments on the common misperceptions and the hidden benefits of embracing digital advancements. This conversation on digital transformation connects to all parts of the oil and gas workflow and showcases the value proposition for companies. 

ADVERTISEMENT