Geophysicist, Seismic Inversion (Senior - Principal - Advisor) Landmark - 211399 (Houston, TX, US, 77032)

Responsibilities

• Develop elastic full-waveform inversion and acoustic or elastic seismic-inversion methods for shot-gather, post-stack, and pre-stack AVO/AVA applications.
• Design AI and deep-learning approaches that improve seismic imaging, inversion, seismic facies classification, and seismic-to-petrophysical property mapping.
• Integrate seismic volumes, well logs, core measurements, rock-physics relationships, and geologic interpretations to construct high-resolution 3D reservoir-property models.
• Develop Python-based research prototypes, algorithms, and reproducible technical workflows using appropriate scientific-computing and machine-learning frameworks.
• Quantify uncertainty in predicted rock properties and fluid saturations using statistical, probabilistic, ensemble, or AI-enabled inverse-problem methods.
• Distinguish and evaluate epistemic and aleatoric uncertainty, analyze model generalization, and identify limitations in training data and model assumptions.
• Validate seismic, reservoir, and machine-learning models using blind-well tests, held-out data, physical consistency checks, and comparison with known subsurface observations.
• Incorporate sequence-stratigraphic frameworks, seismic facies, geostatistical principles, and petrophysical constraints into reservoir-characterization workflows.
• Collaborate with multidisciplinary R&D and product teams to define technical problems, prioritize experiments, assess feasibility, and translate successful research into usable software capabilities.
• Document methods, assumptions, experiments, results, model limitations, and recommendations, and communicate complex findings to technical and product stakeholders.
• Monitor advances in geophysics, AI, deep learning, and scientific computing, and contribute to technical publications, presentations, invention disclosures, and patents where appropriate.

Qualifications

Required

• Undergraduate degree in Science, Engineering, or a similar technical discipline.
• Minimum of four years of related experience in applied research, technology development, product development, engineering, scientific analysis, or a comparable technical field.
• Demonstrated experience applying scientific or engineering principles to seismic imaging, seismic inversion, quantitative interpretation, reservoir characterization, or a closely related technical problem.
• Proficiency in Python and experience developing scientific-computing, data-analysis, machine-learning, or deep-learning workflows.
• Experience designing technical investigations, experiments, model evaluations, or validation studies and interpreting the resulting data.
• Ability to document technical work, manage defined R&D deliverables, and communicate complex concepts and recommendations to multidisciplinary technical stakeholders.

Preferred

• Master’s degree or PhD in Geophysics, Rock Physics, Petroleum Engineering, Applied Mathematics, Computer Science, or a related technical discipline.
• Experience with full-waveform inversion, pre-stack AVO/AVA inversion, post-stack inversion, quantitative interpretation, rock physics, or seismic reservoir characterization.
• Experience with PyTorch, TensorFlow, scikit-learn, or comparable AI and scientific-computing technologies.
• Experience with uncertainty quantification, probabilistic inversion, geostatistics, sequence stratigraphy, seismic facies classification, or 3D static reservoir modeling.
• Energy-industry R&D experience, cloud or high-performance computing exposure, and a record of technical publications, presentations, patents, or research-to-product delivery.
• Experience with quantum computing, quantum algorithms, or quantum-inspired methods for scientific, optimization, or inverse problems.

Candidates who possess qualifications exceeding the minimum job requirements may be considered for higher-level positions based on experience, additional qualifications, demonstrated capabilities, and current business needs. Depending on education, experience, and skill level, candidates may be eligible for roles ranging from Senior R&D Scientist/Engineer, Landmark Technology to Principal R&D Scientist/Engineer, Landmark Technology or Advisor R&D Scientist/Engineer, Landmark Technology.

World Class Benefits

At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home.

Click here to review a summary of the benefits available once you join.

Core Competencies

Seismic Inversion | Full-Waveform Inversion | Elastic FWI | Quantitative Interpretation | AVO/AVA | Rock Physics | Petrophysics | Reservoir Characterization | Subsurface Machine Learning | Deep Learning | Python | PyTorch | TensorFlow | Uncertainty Quantification | Seismic Facies Classification | Sequence Stratigraphy | Geostatistics | 3D Reservoir Modeling

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States

Job Details

Requisition Number: 211399 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time

Additional Locations for this position:

Compensation Information Compensation is competitive and commensurate with experience.