Un Young Lim

About Un Young Lim

As a Lead Geophysicist at Chevron with over six years of experience, I specialize in seismic inversion, reservoir parameter optimization, machine learning, and sampling inference methodologies. My expertise lies at the intersection of physics and AI/ML, enabling me to deliver scalable, impactful solutions that facilitate rapid and accurate decision-making within the energy industry. Passionate about pioneering innovations, I actively develop Subsurface Digital Twin technologies and am dedicated to transforming industrial applications through advanced geophysical workflows. My role involves closely collaborating with multidisciplinary teams, integrating geophysics with geomechanics, basin modeling, and reservoir simulation significantly enhancing Chevron’s reservoir exploration and management strategies.In my role as a Subject Matter Expert, I lead the development of technology across various disciplines, including Geophysics, Petrophysics, Geomechanics, and Geochemistry, to meet the dynamic needs of Chevron’s Global Exploration and Reservoir Management teams. My specific objectives focus on inferring and quantifying reservoir parameters, understanding changes in reservoir properties during production, and integrating seismic and acoustic methods to assess reservoir and completion quality. Utilizing advanced techniques such as Physics-Informed CNN for seismic inversions, along with sophisticated statistical methods like advanced MCMC and Bootstrapping for uncertainty analysis, I ensure precise and reliable outcomes. My commitment to innovation positions me to drive long-term business sustainability and foster continuous improvements in the assessment of both conventional and unconventional reservoirs.

Experience

1. Lead Geophysicist

   Chevron

   Oct 2025 — Present · Houston, TX, US

   Lead Geophysicist — Geophysics Center of Excellence (QI/4D), driving the development of physics‑informed neural network (PINN) workflows that automate quantitative interpretation (QI) and 4D (time‑lapse) seismic analysis across Chevron’s portfolio.[Primary Responsibilities]• Design, train, and validate PINN models that integrate geophysical principles with AI/ML to estimate reservoir properties from seismic and well data.• Automate QI and 4D seismic workflows to improve interpretation quality, speed, and consistency.• Implement robust uncertainty quantification to characterize prediction confidence and support risk management.• Architect cloud‑native, scalable solutions; collaborate with data engineering and MLOps teams to deploy and monitor models in production.• Partner with subsurface, reservoir engineering, and operations teams to translate business needs into production‑ready geophysical AI solutions.[Impact]• Delivers faster, more reliable property estimates for decision‑making.• Reduces interpretation cycle time while maintaining traceability and auditability.• Enables enterprise‑scale reuse through standardized, cloud‑based services.

Education

• University of Houston

  Master of Science (MSc), Geophysics and Seismology

  2011 — 2013

• Texas A&M University

  Doctor of Philosophy - PhD, Geophysics

  2014 — 2019

• Korea University

  Bachelor of Science (BSc)

  2003 — 2010

Skills

• Decisionspace
• Seismology
• Earth Science
• C/C++ Stl
• Digital Signal Processing
• Avo
• Geophysics
• Matlab
• Linear Algebra
• Geology
• Hampson-Russell (for Avo Analysis and Geo-Statistic)
• Mathematica
• Oasis Montaj
• Mathematical Physics
• Seismic Unix
• Jason
• Linux
• Vista 2d-3d Seismic Processing
• Promax
• Petroleum Geology
• Fourier Analysis
• Omni 3d Design