Remote Reservoir Engineer - Digitalization Focus

Placements24; Rustenburg; Hybrid; ZAR 2,241,000 - 2,881,000; Full time

Benefits offered by this job

Remote work setup allowance

Global health insurance

Professional development

Job summary

Placements24 is seeking an innovative Remote Reservoir Engineer to leverage AI, ML, and analytics to optimize reservoir performance. You will work from anywhere with a global team of geoscientists, engineers, and data scientists to develop cutting-edge digital solutions for complex reservoir challenges.

The role emphasizes remote collaboration, advanced modeling, and staying at the forefront of digital transformation in oil and gas.

Qualifications

• Master’s or PhD in Petroleum Engineering or related quantitative field.
• 8+ years of reservoir engineering experience with a data analytics focus.
• Proven AI/ML experience for reservoir characterization and performance prediction.

Responsibilities

• Develop and implement advanced reservoir modeling and simulation techniques with AI/ML.
• Analyze large datasets (well logs, seismic, production) to identify trends and optimize characterization.
• Design and evaluate EOR strategies using simulation and data-driven insights.
• Collaborate remotely with multidisciplinary teams to integrate digital tools into reservoir management.
• Stay abreast of emerging tech and best practices in reservoir engineering and data science.
• Present findings and recommendations to management and stakeholders globally.

Skills

Data analytics

Remote collaboration

Education

Master’s or PhD in Petroleum/Reservoir Eng or related quantitative field

Tools

ECLIPSE

CMG

Python

R

SQL

Job description

About the Role

Our client is seeking an innovative Remote Reservoir Engineer with a passion for digitalization to join their global team. This role will focus on leveraging advanced data analytics, AI, and machine learning to optimize reservoir performance and enhance recovery strategies. You will work from anywhere, collaborating virtually with geoscientists, production engineers, and data scientists to develop cutting-edge solutions for complex reservoir challenges. This is a unique opportunity to be at the forefront of technological advancement in the oil and gas industry , shaping the future of reservoir management through digital transformation.

Key Responsibilities

• Develop and implement advanced reservoir modeling and simulation techniques, incorporating AI/ML algorithms.
• Analyze large datasets from various sources (well logs, seismic, production data) to identify trends and optimize reservoir characterization.
• Design and evaluate enhanced oil recovery (EOR) strategies using simulation and data-driven insights.
• Collaborate remotely with multidisciplinary teams to integrate digital tools and workflows into reservoir management practices.
• Stay abreast of emerging technologies and industry best practices in reservoir engineering and data science.
• Present findings and recommendations to management and technical stakeholders globally.

Requirements

• Master's or Ph.D. in Petroleum Engineering, Reservoir Engineering, or a related quantitative field.
• Minimum of 8 years of experience in reservoir engineering , with a strong emphasis on data analytics and computational methods.
• Proven experience in developing and applying AI/ML models for reservoir characterization and performance prediction.
• Proficiency in reservoir simulation software (e.g., ECLIPSE, CMG) and data analysis tools (e.g., Python, R, SQL).
• Excellent understanding of reservoir physics, geology, and production engineering principles.
• Strong communication and collaboration skills for effective remote teamwork .

Benefits

• Highly competitive salary and annual bonus structure.
• Comprehensive remote work setup allowance and home office stipend.
• Global health, dental, and vision insurance coverage.
• Significant opportunities for professional development and attending virtual conferences.
• A forward-thinking company culture that embraces innovation and remote collaboration.