"Sometimes the traditional methods are way more effective or efficient in handling certain things. To succeed in this new paradigm, we need to build on our strong fundamentals and progress further."
Ivan Lim Chen Ning shares how data-driven methods are reshaping geophysics by challenging traditional workflows and opening new possibilities. He highlights the role of AI, machine learning, and fiber-optic sensing in improving seismic interpretation, imaging, and monitoring. His insights show how combining strong fundamentals with modern digital tools can help geophysicists solve problems more effectively.
Read the September issue of TLE about data-driven geophysics at https://library.seg.org/toc/leedff/44/9.
KEY TAKEAWAYS
> AI and data-driven tools open new paths. They help geophysicists move beyond traditional workflows to find faster and simpler solutions.
> Fiber-optic sensing changes monitoring. DAS provides continuous well data, replacing point sensors and revealing signals directly.
> Strong fundamentals still matter. Success comes from combining proven geophysical methods with modern digital skills.
GUEST BIO
Ivan Lim Chen Ning is an Earth Scientist – Fiber Optics at Chevron, where he analyzes Distributed Fiber Optic Sensing (DFOS) data and develops real-time algorithms for field applications. He applies deep learning and signal processing to improve DFOS workflows, advancing distributed acoustic sensing in the energy industry. A member of Chevron’s Emerging Leader 2024 cohort, Ivan is recognized for solving cross-disciplinary challenges and driving innovation to help secure energy for the future.
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"Sometimes the traditional methods are way more effective or efficient in handling certain things. To succeed in this new paradigm, we need to build on our strong fundamentals and progress further."
Ivan Lim Chen Ning shares how data-driven methods are reshaping geophysics by challenging traditional workflows and opening new possibilities. He highlights the role of AI, machine learning, and fiber-optic sensing in improving seismic interpretation, imaging, and monitoring. His insights show how combining strong fundamentals with modern digital tools can help geophysicists solve problems more effectively.
Read the September issue of TLE about data-driven geophysics at https://library.seg.org/toc/leedff/44/9.
KEY TAKEAWAYS
> AI and data-driven tools open new paths. They help geophysicists move beyond traditional workflows to find faster and simpler solutions.
> Fiber-optic sensing changes monitoring. DAS provides continuous well data, replacing point sensors and revealing signals directly.
> Strong fundamentals still matter. Success comes from combining proven geophysical methods with modern digital skills.
GUEST BIO
Ivan Lim Chen Ning is an Earth Scientist – Fiber Optics at Chevron, where he analyzes Distributed Fiber Optic Sensing (DFOS) data and develops real-time algorithms for field applications. He applies deep learning and signal processing to improve DFOS workflows, advancing distributed acoustic sensing in the energy industry. A member of Chevron’s Emerging Leader 2024 cohort, Ivan is recognized for solving cross-disciplinary challenges and driving innovation to help secure energy for the future.
Sound Decisions: How Science Builds Business Resilience
Seismic Soundoff
32 minutes 46 seconds
3 months ago
Sound Decisions: How Science Builds Business Resilience
"Strong environmental monitoring isn’t just good for the ocean. It’s also good for the business."
Daniella Bordon, Director of Environment & Sustainability at BGP Offshore and chair of the SEG Sustainability Committee, shares her journey from marine mammal observer to global ESG strategist, offering practical and passionate insights into ocean conservation through seismic operations. She explains how science-based decisions, qualified environmental teams, and strong stakeholder relationships can protect both marine life and business goals. Daniella also highlights how SEG and BGP Offshore are connecting sustainability with applied geophysics, creating a clear path for impact.
KEY TAKEAWAYS
> Strong environmental monitoring, backed by qualified teams, helps companies avoid delays and build trust.
> Geoscience and sustainability are deeply connected, and proactive efforts lead to long-term business success.
> Giving nature a seat at the table means treating ecosystems as active participants in project planning.
> Events like IMAGE and SBGf are helping geoscientists learn, connect, and take action on sustainability.
GUEST BIO
Daniella Bordon is the Director of Environment & Sustainability at BGP Offshore and chair of the SEG Sustainability Committee. She began her career as a marine mammal observer and has since become a global ESG strategist, dedicated to advancing ocean conservation through science-based seismic operations. Daniella emphasizes the importance of making decisions grounded in data, investing in qualified environmental teams, and building stakeholder trust to protect marine ecosystems and strengthen business resilience. Through her leadership at SEG and BGP Offshore, she continues to connect sustainability with applied geophysics, shaping a more responsible and impactful future for the energy industry.
LINKS
* Attend IMAGE '25 - https://www.imageevent.org/
* Learn more about the SBGf Conference in Rio de Janeiro, Brazil - https://rio25.sbgf.org.br/
* Read more about the United Nations Decade of Ocean Science for Sustainable Development - https://oceandecade.org/
* Learn more about the new podcast series, Inside IMAGE, presented by Seismic Soundoff - https://www.imageevent.org/podcast
* Listen to the complete archive at https://seg.org/podcasts/
Seismic Soundoff
"Sometimes the traditional methods are way more effective or efficient in handling certain things. To succeed in this new paradigm, we need to build on our strong fundamentals and progress further."
Ivan Lim Chen Ning shares how data-driven methods are reshaping geophysics by challenging traditional workflows and opening new possibilities. He highlights the role of AI, machine learning, and fiber-optic sensing in improving seismic interpretation, imaging, and monitoring. His insights show how combining strong fundamentals with modern digital tools can help geophysicists solve problems more effectively.
Read the September issue of TLE about data-driven geophysics at https://library.seg.org/toc/leedff/44/9.
KEY TAKEAWAYS
> AI and data-driven tools open new paths. They help geophysicists move beyond traditional workflows to find faster and simpler solutions.
> Fiber-optic sensing changes monitoring. DAS provides continuous well data, replacing point sensors and revealing signals directly.
> Strong fundamentals still matter. Success comes from combining proven geophysical methods with modern digital skills.
GUEST BIO
Ivan Lim Chen Ning is an Earth Scientist – Fiber Optics at Chevron, where he analyzes Distributed Fiber Optic Sensing (DFOS) data and develops real-time algorithms for field applications. He applies deep learning and signal processing to improve DFOS workflows, advancing distributed acoustic sensing in the energy industry. A member of Chevron’s Emerging Leader 2024 cohort, Ivan is recognized for solving cross-disciplinary challenges and driving innovation to help secure energy for the future.
