Freelance Digital Twin & AI Research – Petroleum Operations

Job Title: Freelance Digital Twin & AI Research – Petroleum Operations

Job Type: Freelancer

Key Responsibilities:

• Conduct in-depth literature reviews on digital transformation, AI, and machine learning applications in petroleum systems.

• Develop or contribute to methodological frameworks for intelligent reservoir management, predictive maintenance, and process optimization.

• Analyze multimodal petroleum datasets (production, seismic, and sensor data) using AI/ML algorithms and geospatial analytics.

• Explore digital twin implementation for virtual simulation and performance prediction using platforms like Siemens, AVEVA, or AnyLogic.

• Investigate cybersecurity and risk management strategies in SCADA/IoT systems.

• Prepare research notes, academic manuscripts, reports, and presentations suitable for publication in high-impact journals or conferences.

• Identify emerging trends, research gaps, and innovations in digital decision support within the oil & gas sector.

Required Qualifications:

• Master’s degree or higher in Petroleum Engineering (PhD desirable).

• 2–5 years of academic research or technical experience in petroleum engineering or data-driven system modeling.

• Strong understanding of AI/ML applications, digital twins, and decision support modeling in petroleum operations.

• Ability to integrate well logs, seismic data, and real-time sensor inputs into predictive models.

• Excellent academic writing, data interpretation, and technical communication skills.

Technical Proficiency:

Mandatory Tools & Skills:

• Digital twin platforms (Siemens, AVEVA, AnyLogic)
• Academic research tools (Scopus, ScienceDirect, Mendeley, EndNote)

Optional/ Good-to-Have:

• Conduct comprehensive literature review on AI, digital twins, and decision support in petroleum operations.
• Develop or support methodological frameworks for intelligent reservoir management, predictive maintenance, and digital twin applications.
• Analyze multimodal datasets (production logs, seismic, sensor data) using AI/ML and geospatial techniques.
• Investigate cybersecurity risks and mitigation strategies in SCADA/IIoT systems.
• Prepare research notes, manuscripts, reports, and presentations suitable for academic journals or conferences.
• Identify emerging trends, research gaps, and future directions in digital and AI-driven petroleum operations.