Anjum Rashid

About Anjum Rashid

At SLB, I focus on leading the smooth transition to automation within drilling and operations processes, ensuring the integration of advanced technologies that drive efficiency and innovation. I am responsible for testing and refining AI-driven predictive models that help forecast operational outcomes, while also leveraging big data analysis to extract actionable insights from complex datasets. A key aspect of my role involves integrating diverse multi-source engineering data spanning downhole sensors, surface equipment, and real-time monitoring systems into a unified and easily analyzable platform, enabling more informed, data driven decision making

Experience

1. Caribbean Drilling Engineering Manager

   SLB

   Jun 2025 — Present · GY

   Overseeing drilling operations in the Caribbean region, including Deepwater and extended-reach drilling. Responsible for deploying automation technologies in Deepwater projects, driving project optimization, implementing new technologies, and mentoring team members.

Education

• Bahria University

  M.S.c, Geology

  2007 — 2008

Skills

• Petroleum Geology
• Oil/Gas
• Petrel
• Field Development
• Energy Industry
• Geosteering
• Onshore
• Sedimentology
• Geology
• Formation Evaluation
• Wellsite
• Petroleum
• Earth Science
• Drilling
• Offshore Drilling
• Petrophysics
• Seismology
• Reservoir Engineering
• Mineral Exploration
• Gas
• Drilling Engineering
• Mud Logging
• Operation Geology
• Structural Geology
• Directional Drilling
• Oil & Gas
• Geological Mapping
• Horizontal Wells
• Logging
• Log Analysis
• Reservoir Management
• Mudlogging