Jun Cao Email & Phone Number
Who is Jun Cao? Overview
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Jun Cao is listed as Research & Application Geophysicist | Seismic Imaging/Inversion/Analysis/Processing | Machine Learning at Shell, a with 132903 employees, based in Houston, Texas, United States. AeroLeads shows a matched LinkedIn profile for Jun Cao.
Jun Cao previously worked as Research Geophysicist at Shell and Senior Research Geophysicist at Slb. Jun Cao holds Doctor Of Philosophy - Phd, Geophysics from University Of California, Santa Cruz.
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About Jun Cao
A self-motivated geophysicist with proven broad and in-depth research, development, and production application experiences on advanced seismic imaging, seismic inversion, seismic processing & model building, 3D & 4D seismic analysis, wave propagation / scattering, and machine learning. I am a fully committed team player, very creative and good at solving challenging problems.
Listed skills include Geophysics, Seismology, Earth Science, Seismic Imaging, and 17 others.
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Jun Cao work experience
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Senior Research Geophysicist
Geophysical Research Advisor
Reservoir seismic inversion/characterization R&D: elastic FWI, elastic AVA inversion, Machine Learning augmented seismic inversion
Senior Staff Research Geophysicist, Geophysical Development
Developed amplitude friendliness for Least-Squares Kirchhoff Migration (LSKM), applied LSKM and demonstrated it can provide AVO friendly image, improve steep dip imaging , and mitigate acquisition related issues.
Senior Staff Geophysicist, Seismic Processing & Imaging
Took on and completed very well many challenging seismic processing, model building & imaging projects and investigation work, through which made significant contributions and impacts to programs across the world, including Alaska, Permian basin, Australia, Malaysia, Norway, and Surmont.
Staff Research Geophysicist, Seismic Analysis + Geophysical Development
Research and develop leading edge time-lapse analysis tools and workflows to improve existing practices and enable fully integrated and efficient 4D seismic analysis and 4D Close-the-Loop workflows• Proposed, developed, productionized, and applied a Data Driven Method Using Machine Learning for Reliably and Efficiently Inverting 4D Reservoir Properties’ Change from joint use of multiple 3D/4D seismic attributes to overcome challenges in existing methods. • Developed and deployed functionality in Petrel for calculating 4D attributes to enable fully integrated efficient 4D analysis.• Developed and deployed 4D Rock Physics Feasibility Tool for predicting 4D seismic responses to help interpret 4D seismic data and evaluate 4D responses of different development scenarios.• Conducted company-first DAS Data Processing & Production Profiling Analysis for heavy oil reservoir in supporting production forecasting and surveillance cost optimization. • Researched and Evaluated Different Time-Lapse Full Waveform Inversion (FWI) methods. Evaluated Limitations of Scalar Time Lapse FWI for elastic data and investigated ways to mitigate that limit.
Sr Research Geophysicist, Seismic Technology Development + Seismic Acquisition
Researched, developed, and applied a suite of efficient, flexible, and integrated tools & workflows on Advanced 3D Seismic Illumination/Visibility Analysis and Illumination Compensated & Visibility Enhanced Imaging using wave equations or ray tracing for improving seismic acquisition design, imaging, and interpretation in complex geologies such as sub-salt and sub-gas areas:• Proposed, Developed, and Applied 3D Angle Domain Full-Wave Illumination Analysis and Imaging Illumination Compensation. Applications showed significantly improved image than deconvolution imaging condition.• Proposed, Developed, and Applied Efficient and Flexible Full-Wave Target-Oriented 3D Visibility Analysis and Visibility Guided/Enhanced Imaging for evaluating and designing acquisition geometry and improving & accelerating target imaging. Applied analysis to DWGOM and Norway projects for acquisition design; and applied visibility guided/enhanced imaging to DWGOM subsalt field data.• Proposed, Developed, and Applied Efficient 3D Critical Reflection Illumination Analysis based on ray tracing for analyzing poor sub- high velocity (e.g., subsalt) image quality and recommending solution. Applied to subsalt projects: result indicated the poor image at one subsalt prospect cannot be improved by conventional surface seismic due to post-critical effect which saved an expensive surface seismic survey; further researched potential solutions to improve the target imaging.• Developed an Efficient 3D One-Way Wave-Equation Based Angle-domain Illumination Analysis and applied to DWGOM subsalt project to evaluate the impact of different acquisition geometries on subsalt imaging.
Research Assistant, Wave-Equation Ture-Reflection Imaging
Researched and developed towards the Wave-Equation Based True-Amplitude Imaging correcting the wave propagation, acquisition geometry, and overburden effects:• Researched effect of different amplitude correction terms especially that related to lateral velocity variation in ‘True-Amplitude’ One-Way Wave Propagator (TAOWP). Derived two types of asymptotic TAOWP: wide-angle screen (WAS) and FFD. Evaluated two implementations of WAS amplitude correction. Proposed and developed a global optimization to improve the accuracy of the TAOWP. Derived and implemented accurate formula for full-wave finite-difference modeling for benchmarking TAOWP.• Proposed and developed an efficient scheme for one-way wave equation based local-angle domain (LAD) image illumination correction. Evaluated two local plane wave decomposition methods.• Proposed and developed LAD full-wave illumination analysis for accurate acquisition design and true-amplitude imaging. Proposed and analyzed two local plane wave decomposing methods for full-wave illumination.• Investigated influence of wave propagator amplitude correction and LAD illumination correction for true-amplitude imaging. Results showed illumination effect is much more significant than the former.
Intern, Full Waveform Inversion (Advanced Seismic Imaging, Bp America)
Investigated and illustrated using GOM Thunder Horse model the relative importance of low frequency and long offset in mitigating the non-linearity (cycle-skipping) of FWI, FWI’s capability for providing a good salt top, and multiples’ contribution in FWI. Results provided valuable information for future FWI applications and seismic acquisition design preference on frequency and offset for FWI.
Colleagues at Shell
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Maryann Chang
Colleague at ShellGreater Melbourne Area, Australia
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Banuprasad Mallappu Balaiah
Colleague at ShellChennai, Tamil Nadu, India
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Peter Spencer
Colleague at ShellToronto, Ontario, Canada
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Ameerali Morani
Colleague at ShellSugar Land, Texas, United States
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Maria Skouradaki
Colleague at ShellGreece
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Geovanny Morales
Colleague at ShellShirley, New York, United States
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Eliana Rios
Colleague at ShellPosadas, Misiones, Argentina
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Ashutosh Tiwari
Colleague at ShellThe Hague, South Holland, Netherlands
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Siti Hajar Ibrahim
Colleague at ShellWp. Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia
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Sandjar Rakhimov
Colleague at ShellUzbekistan
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Jun Cao education
Doctor Of Philosophy - Phd, Geophysics
Master Of Science - Ms, Geophysics
Bachelor Of Science - Bs, Geophysics
Frequently asked questions about Jun Cao
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What company does Jun Cao work for?
Jun Cao works for Shell.
What is Jun Cao's role at Shell?
Jun Cao is listed as Research & Application Geophysicist | Seismic Imaging/Inversion/Analysis/Processing | Machine Learning at Shell.
Where is Jun Cao based?
Jun Cao is based in Houston, Texas, United States while working with Shell.
What companies has Jun Cao worked for?
Jun Cao has worked for Shell, Slb, Sinopec Tech Houston, Conocophillips, and University Of California.
Who are Jun Cao's colleagues at Shell?
Jun Cao's colleagues at Shell include Maryann Chang, Banuprasad Mallappu Balaiah, Peter Spencer, Ameerali Morani, and Maria Skouradaki.
How can I contact Jun Cao?
You can use AeroLeads to view verified contact signals for Jun Cao at Shell, including work email, phone, and LinkedIn data when available.
What schools did Jun Cao attend?
Jun Cao holds Doctor Of Philosophy - Phd, Geophysics from University Of California, Santa Cruz.
What skills is Jun Cao known for?
Jun Cao is listed with skills including Geophysics, Seismology, Earth Science, Seismic Imaging, Geology, Inversion, Numerical Analysis, and Modeling.
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