Early Career Geoscience & Petrotechnical Specialist

Join our Geoscience and Petrotechnical teams where proven expertise meets intelligent technology, powering innovative subsurface solutions. Whether working in the field or at our learning centers, your unique skills and understanding of hydrocarbons will help solve complex challenges for clients worldwide. With SLB, you'll build a bright future making real impact across our business and industry.

Combine your understanding of earth sciences with comprehensive knowledge of the latest logging technologies to determine reservoir architecture and hydrocarbon potential. You'll become proficient in multiple software systems while working closely with customers to develop innovative solutions for their most complex challenges.

Apply your knowledge and expertise of earth's properties to enhance interpretations of geological data and better define subsurface understanding. Transform vast amounts of seismic and geophysical data into actionable knowledge that powers better decision-making and more effective services. Opportunities span the complete data lifecycle from acquisition through processing and interpretation.

Combine logging data from multiple downhole sensors with sample data to determine hydrocarbon production capacity, lithology, and fluid saturation. Incorporate multi-well data and advanced sensor technologies including acoustics, spectroscopy, and magnetic resonance to enhance accuracy and build comprehensive reservoir understanding through permeability and mechanical property analysis.

Utilize data and leading software products to create reservoir models that enable client decision-making for safer, optimized, long-term production. Simulate fluid flow phase behavior and reservoir physical properties to deliver comprehensive reservoir solutions.

Deliver performance improvements to client assets worldwide through virtual representations of downhole products. Integrate calculations, finite element analysis (FEA), computational fluid dynamics (CFD), costing, and parametric modeling into cohesive optimization systems.

• Meet minimum degree requirements