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

Halliburton
Houston
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Documentation","Collaboration","Technical problem-solving","Managing deliverables"]

Develop advanced seismic imaging and inversion technologies for reservoir characterization, translating R&D concepts into validated, prototype workflows and product-ready capabilities. Apply Python and modern machine-learning/deep-learning methods to full-waveform inversion and AVO/AVA use cases, integrate seismic with well logs and rock physics, and quantify uncertainty. Collaborate with multidisciplinary teams to define experiments, validate against blind-well and held-out data, and communicate results to technical stakeholders.

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Halliburton
Halliburton
9 hours ago

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

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Job Summary

Develop advanced seismic imaging and inversion technologies for reservoir characterization, translating R&D concepts into validated, prototype workflows and product-ready capabilities. Apply Python and modern machine-learning/deep-learning methods to full-waveform inversion and AVO/AVA use cases, integrate seismic with well logs and rock physics, and quantify uncertainty. Collaborate with multidisciplinary teams to define experiments, validate against blind-well and held-out data, and communicate results to technical stakeholders.
Location: Houston
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key 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 to improve seismic imaging, inversion, seismic facies classification, and seismic-to-petrophysical property mapping.
  • •Integrate seismic volumes with well logs, core measurements, rock-physics relationships, and geologic interpretations to build high-resolution 3D reservoir-property models with uncertainty.
  • •Develop Python-based research prototypes, algorithms, and reproducible workflows using scientific-computing and machine-learning frameworks.
  • •Validate models using blind-well tests, held-out data, physical consistency checks, and compare results to known subsurface observations.

Key Requirements

  • •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.
  • •Ability to document technical work, manage defined R&D deliverables, and communicate complex concepts and recommendations to multidisciplinary technical stakeholders.
Skills:CommunicationDocumentationCollaborationTechnical problem-solvingManaging deliverables
Tech Stack:PythonMachine learningDeep learningPyTorchTensorFlowScikit-learnFull-waveform inversionElastic FWIAVO/AVAUncertainty quantificationProbabilistic inversionGeostatisticsSequence stratigraphySeismic facies classification3D reservoir modeling

Company Brief

Halliburton
Provides oilfield services and products to the energy industry, including drilling, evaluation, completion, production and well intervention technologies, as well as engineering and project management solutions for oil and gas operators worldwide.
Industry: Energy Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Houston, United States
Founded: 1919
WebsiteLinkedIn