Ismail Seedat

,

Drilling Engineer

Subject matter expert
Consultant
Junior professional
Profile Summary

Results-driven engineer with extensive experience in oil & gas operations, drilling engineering, and real-time data interpretation. Proven ability to analyze complex datasets under high-pressure conditions to ensure safe, efficient, and cost-effective decision-making in upstream environments. Skilled at operational assurance, risk management, and cross-functional collaboration with drilling, geoscience, and HSE teams.

Currently expanding expertise in artificial intelligence and data-driven solutions, with a strong interest in applying machine learning, digital twins, and predictive analytics to energy, mining, and industrial challenges. Adept at bridging technical engineering knowledge with advanced analytics to optimize operations and support digital transformation.

Motivated by opportunities that combine hands-on engineering with innovation in AI and data science, aiming to deliver impactful solutions that improve safety, efficiency, and sustainability. Recognized for strong problem-solving, communication, and adaptability in international and multidisciplinary settings.

Personal details
Name:
Ismail Seedat
Gender:
Male
Nationality:
United Kingdom
Residence:
United Kingdom
Educational background
Highest academic degree:
MSc Advanced Chemical Engineering, Imperial College, London
Professional details
Profession /occupation:
Drilling Engineer
Experience:
10+ years
Notable past employers:
slb
Areas of expertise:
Completions
Digital Transformation
Drilling
Well logging
Wireline Logging
Software skills:
DrillOps
DrillPlan
Intelie Live
Microsoft Project
Palantir
Petrel
Power BI
WellPlan
Recent work
  • Monitored and analyzed real-time drilling data to identify early warning signs (e.g., kicks), ensuring safe well control and reducing operational risks.

  • Advised supervisors during critical situations, contributing to safe shut-in decisions and regulatory compliance.

  • Supported drilling optimization projects, evaluating parameters and offset well data to improve performance and reduce non-productive time.

  • Collaborated with multidisciplinary teams (drilling, geoscience, HSE) to ensure efficient well planning, execution, and operational assurance.

  • Developed a strong interest in AI and data-driven solutions, exploring applications such as predictive maintenance, digital twins, and drilling automation.

  • Recognized for bridging engineering expertise with data analytics to support decision-making, improve efficiency, and enhance safety outcomes.

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