Petroleum Engineering


oil and gas technican engineering instrument

About this role: Petroleum Engineering

  • Lead and participate in advanced data analytics studies and IR 40 projects which include EDA, data pre- processing, model construction, model evaluation and calibration;
  • Apply latest IR 40 and advanced data analytics methods and keep up-to-date with the latest technologies;
  • Conduct comprehensive petrophysical studies and analyses by integrating logging tool responses, rock, fluid and production data for formation evaluation and reservoir surveillance;
  • Design and oversee core and fluid studies to enhance petrophysical models;
  • Perform and oversee accurate Plant and Well Allocation processes;
  • Enhance data quality in the well database by enhancing data flow processes;
  • Propose data model design/business rules enhancements for data quality improvements;
  • Develop and enforce data access control measures to maintain Petroleum Engineering data confidentiality;
  • Conduct training for professionals with proper training materials;
  • Act as technical advisor to management regarding best practices for advanced data analytics and data science topics.


  • BS degree in petroleum engineering, geology, geophysics or physics MS or PhD is desirable but not required;
  • Computer science BS degree with a master/specialization in artificial intelligence, data science or data analytics PhD is desirable but not required;
  • A minimum of 5 years of experience in the field of data science, advanced data analytics or artificial intelligence domains Mastery of machine learning algorithms, which include: Deep Learning algorithms (Feed forward neural networks, convolutional neural networks, recursive neural networks), classification algorithms (Random forest, C45, SVM, Bayesian, KNN), clustering algorithms (K-means, hierarchical, DBSCAN), reinforcement Learning and recommendation systems;
  • A Minimum of 10 years of intensive experience in the area of data management Technical publications are valued but in-depth practical experience is paramount;
  • Demonstrated ability to work effectively in multi-disciplinary teams and to communicate ideas clearly with specialists in Petroleum Engineering data management, reservoir characterization and geologic modeling, Petro- physical evaluation, core analysis, reservoir management, and production engineering;
  • Proficiency in SQL to access, communicate and work with data;
  • Good knowledge in data visualization to translate results into figure and graphs.

How to apply

If you meet the above requirements and would like to be considered for this role, please submit your interest using the ‘Apply’ button. Applying is quick and easy – just make sure you have the following documents ready to go:

  • Resume
  • Cover Letter (optional)
Apply now

Do you have questions?

If you have questions or would like to discuss the details of this role, please contact Suresh Jogi via the details below, quoting publication number:

Account manager

Suresh Jogi
Brunel Energy UAE Dubai
+971 4 315 3000

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