Sand Geomechanics Modeler

1d•Hybrid

About The Position

The Sand Geomechanics Modeler provides advanced technical expertise in predictive modeling for sanding onset and limits, safe well operating envelopes, and emerging reservoir and well sanding analysis. This role leads development and application of advanced predictive models incorporating flux-based risk assessment, CFD-DEM simulations, and finite element modeling frameworks (Enhans). The Sand Geomechanics Modeler ensures integration of modeling insights with surveillance and operational strategies to optimize well operating envelopes across reservoir, well, facility, and export chokes. The Sand Management Central Team plays a critical role in safeguarding asset integrity, optimizing production, and embedding proactive sand management practices across bp’s global portfolio.

Requirements

Bachelor’s or advanced degree or equivalent in Geomechanics, Geoscience, Petroleum Engineering, Reservoir Engineering, or related disciplines.
Experience in predictive modeling for sanding and well operating envelopes within oil and gas operations.
Strong analytical and computational skills with proficiency in modeling software and data integration.
Proven ability to collaborate across multi-discipline teams and global stakeholders.
Excellent communication and technical assurance capabilities.

Nice To Haves

Familiarity with AI/ML applications in sanding prediction and reservoir modeling.
Experience with industry-standard modeling tools and workflows.
Knowledge of sand management strategies across the four chokes (reservoir, well, facility, export).

Responsibilities

Develop and validate flux-based sanding prediction models using advanced numerical and empirical approaches.
Apply CFD-DEM and finite element simulations (Enhans) to quantify sanding risk under dynamic downhole conditions.
Generate and maintain global fieldwide sanding databases for predictive analytics and operational decision-making.
Integrate PLT data, reservoir simulations, and surveillance into modeling workflows for dynamic risk assessment and completion recommendations.
Establish empirical correlations between sanding severity and critical parameters (flux, annular velocity, watercut).
Support perforation design optimization and sandface geometry modeling for flux control.
Document modeling methodologies, uncertainty analysis, and lessons learned for continuous improvement.
Lead capability-building initiatives to uplift modeling competencies across global teams.