Freelance Digital Twin & AI Research – Petroleum Operations

Freelance Digital Twin & AI Research – Petroleum Operations

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.

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.

Python (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch)

Digital twin platforms (Siemens, AVEVA, AnyLogic)

Academic research tools (Scopus, ScienceDirect, Mendeley, EndNote)

Petroleum simulation tools (PROSPER, GAP, MBAL, Aspen HYSYS, PRO/II, VMGSim)

• 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.

Contact :

Gray : 9566133822

Job Types: Part-time, Freelance, Volunteer
Contract length: 1 month

Pay: From ₹15,000.00 per month

Work Location: Remote