Halliburton is seeking a Geophysicist to integrate seismic imaging and inversion with petrophysical analysis, sequence stratigraphy, and seismic facies ML classification to build high-resolution 3D reservoir models. The role aims to use machine learning and deep learning techniques to estimate uncertainty in rock properties within oil and gas reservoirs.
Requirements
- Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with seismic inversion techniques and seismic interpretation software.
- Solid understanding of petrophysical and rock physics principles and methods.
- Knowledge of sequence stratigraphy, seismic facies analysis, and their role in reservoir modeling.
- Proven track record of using AI/ML in subsurface modeling or related fields is a strong plus.
- Familiarity with cloud-based computational platforms for running large-scale AI models.
- Previous R&D or publication experience related to AI/DL applications in geophysics.
Responsibilities
- Seismic Inversion (elastic FWI of shot gathers and acoustic (poststack) and elastic (prestack AVO/AVA based) & Integration with Petrophysical / Rock Physics Analysis:
- Develop and apply advanced seismic inversion techniques to derive rock property models.
- Integrate seismic images with well logs and core data to generate 3D geologic static reservoir models using geostatistical and sequence stratigraphy principles.
- Design and implement AI and ML algorithms (using Python) to automate and enhance the interpretation of seismic data.
- Develop predictive models to estimate rock properties and reservoir parameters with associated uncertainties.
- Use AI-driven quantitative interpretation methods to improve seismic-to-petrophysical property mapping and reservoir characterization.
- Analyze and quantify the uncertainty of the 3D distribution of rock properties and fluid saturations using combination of AI models and mathematical statistics in the solving the inverse problem.
Other
- PhD in Geophysics, Rock Physics, Petroleum Engineering, or a related field.
- Minimum of 3-5 years of experience in quantitative interpretation, reservoir modeling, and petrophysics / rock physics.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and ability to work in a collaborative, multi-disciplinary R&D environment.
- Experience in the oil and gas industry, in particular in the field of subsurface uncertainty quantification.
