Petroleum Engineering

Job Description

About this role:

• 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.

Keyskills :

About Company

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