Subsurface Engineer - Data Analysis

Placements24; Upington; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive benefits

Job summary

Placements24 is seeking a Subsurface Engineer with strong data analysis skills to interpret seismic, well logs, and production histories in Upington. The role emphasizes applying statistical models and machine learning to reservoir characterization and performance prediction in the oil and gas sector.

The candidate will collaborate with geologists and reservoir engineers, integrating insights into subsurface models and supporting exploration and development decisions.

Qualifications

• Master's degree or PhD in Petroleum Engineering, Geosciences, or a related quantitative field.
• Minimum of 4 years of experience in subsurface data analysis within the oil and gas industry.
• Proficiency in Python, R, or MATLAB for data analysis.
• Strong understanding of geological principles, reservoir engineering concepts, and geophysical interpretation.
• Experience with data visualization techniques and database management.
• Excellent analytical, problem-solving, and communication skills; ability to work independently in Upington.

Responsibilities

• Analyze diverse subsurface datasets, including seismic, well logs, core data, and production histories.
• Develop and utilize statistical models and machine learning techniques for reservoir characterization and performance prediction.
• Collaborate with geologists and reservoir engineers to integrate data insights into subsurface models.
• Identify opportunities for improved data acquisition and analysis methodologies.
• Prepare technical reports and presentations summarizing analytical findings and recommendations.
• Support the evaluation of exploration prospects and development opportunities through rigorous data analysis.

Skills

Python

R

MATLAB

Data analysis

Machine learning

Reservoir engineering

Geophysical interpretation

Data visualization

Education

Master's degree

PhD

Tools

Advanced analytical software

Job description

About the Role

Our client is looking for a skilled Subsurface Engineer with a strong focus on data analysis to join their team in Upington . This role is crucial for interpreting complex subsurface data, including geological, geophysical, and production information, to support exploration and development decisions. You will leverage advanced analytical techniques and software to identify potential resources and optimize recovery strategies. This is an exciting opportunity to apply cutting-edge data analysis methodologies within the oil and gas sector in the unique environment of the Northern Cape , contributing to informed strategic planning.

Key Responsibilities

• Analyze diverse subsurface datasets, including seismic, well logs, core data, and production histories.
• Develop and utilize statistical models and machine learning techniques for reservoir characterization and performance prediction.
• Collaborate with geologists and reservoir engineers to integrate data insights into subsurface models.
• Identify opportunities for improved data acquisition and analysis methodologies.
• Prepare technical reports and presentations summarizing analytical findings and recommendations.
• Support the evaluation of exploration prospects and development opportunities through rigorous data analysis.

Requirements

• Master's degree or PhD in Petroleum Engineering, Geosciences, or a related quantitative field.
• Minimum of 4 years of experience in subsurface data analysis within the oil and gas industry .
• Proficiency in data analysis tools and programming languages such as Python, R, or MATLAB.
• Strong understanding of geological principles, reservoir engineering concepts, and geophysical interpretation.
• Experience with data visualization techniques and database management .
• Excellent analytical, problem-solving, and communication skills, with the ability to work independently in Upington .

Benefits

• Competitive salary and performance-related bonus scheme.
• Comprehensive medical and retirement benefits.
• Access to advanced analytical software and training programs.
• Opportunities for career advancement in subsurface data science.
• Contribute to critical decision-making processes in the Northern Cape 's energy landscape.