Seismic Inversion R&D Scientist – 3D Reservoir Modeling

Halliburton; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Halliburton, via Landmark Technology, seeks an R&D geophysicist to advance seismic imaging, inversion, and reservoir characterization. The role blends Python, ML, and inversion methods to fuse seismic data with logs, rock physics, and stratigraphy, delivering high-resolution reservoir-property models.

You will work with geoscientists, data scientists, and software developers to turn research concepts into product-ready capabilities while advancing uncertainty quantification and model validation.

Qualifications

• Undergraduate degree in Science, Engineering, or a similar technical discipline.
• Minimum of four years of related experience in applied research, technology development, or a comparable technical field.
• Experience applying seismic imaging, seismic inversion, or reservoir characterization to technical problems.
• Proficiency in Python and developing scientific computing or ML workflows.
• Experience designing investigations, experiments, or validation studies.

Responsibilities

• Develop elastic full-waveform inversion and seismic-inversion methods for various acquisition and processing scenarios.
• Design AI and deep-learning approaches for seismic imaging and facies classification.
• Integrate seismic data with well logs and rock physics to build 3D reservoir-property models.
• Develop Python-based research prototypes and reproducible workflows.
• Quantify uncertainty using probabilistic or AI-enabled methods.
• Document methods and communicate results to technical stakeholders.

Skills

Python programming

Seismic imaging

Inversion methods

Machine learning

Team collaboration

Education

Bachelor’s degree in Geophysics or related field

Master’s or PhD preferred

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Halliburton, via Landmark Technology, seeks an R&D geophysicist to advance seismic imaging, inversion, and reservoir characterization. The role blends Python, ML, and inversion methods to fuse seismic data with logs, rock physics, and stratigraphy, delivering high-resolution reservoir-property models.

You will work with geoscientists, data scientists, and software developers to turn research concepts into product-ready capabilities while advancing uncertainty quantification and model validation.