Sonangol P&P Iraq


We’re seeking individuals with a minimum of 5 years of experience, proficient in geomodelling and
mapping, and possessing strong organizational skills in data and documentation management.
• Conduct geological and geophysical analyses, leveraging your expertise in
geomodelling to enhance reservoir characterization and development strategies.
• Utilize advanced mapping techniques to interpret subsurface data and generate
accurate geological models, contributing to reservoir evaluation and optimization
• Effectively manage and organize geological and geophysical data, ensuring
accessibility and reliability for ongoing projects and analyses.
• Collaborate with multidisciplinary teams to integrate geological insights into reservoir
simulation studies, supporting reservoir engineering and production optimization
• Demonstrate proficiency in Python programming and data science techniques,
leveraging these skills to enhance geological analyses, data visualization, and
workflow automation.

Essential Skills / Qualifications:

• Bachelor’s degree in geoscience, geology, petroleum engineering, or a related field;
Master’s degree preferred.
• Minimum of 5 years of experience in geological and geophysical analysis, with a
focus on geomodelling and mapping.
• Strong proficiency in geomodelling software and advanced mapping tools, with a
demonstrated ability to apply these technologies to reservoir characterization and
development projects.
• Well-organized with excellent data management and documentation skills, ensuring
accuracy and reliability in geological analyses and interpretations.
• Experience with Python programming and data science methodologies is highly
desirable, providing an advantage in optimizing workflows, conducting advanced
data analysis, and enhancing geological modelling capabilities.

Key Competencies:

• Geomodelling Expertise: Proficiency in geomodelling software and techniques,
including the ability to construct accurate and reliable geological models based on
subsurface data.
• Mapping Skills: Strong mapping skills, enabling the interpretation of geological data
and the creation of detailed geological maps to support reservoir characterization
• Data Management: Excellent organizational skills in managing geological and
geophysical data, ensuring accessibility, accuracy, and reliability for analysis and
• Collaboration: Ability to collaborate effectively within multidisciplinary teams,
integrating geological insights into reservoir engineering and production optimization
• Python Programming: Proficiency in Python programming language, with the
capability to apply data science techniques to geological analyses, visualization, and
workflow automation.
• Analytical Thinking: Strong analytical skills to interpret complex geological data and
draw meaningful conclusions to support decision-making processes.
• Problem-Solving: Capacity to identify and solve geological challenges, utilizing
innovative approaches and technologies to overcome obstacles in reservoir
characterization and development.
• Communication: Clear and effective communication skills to convey geological
findings, insights, and recommendations to stakeholders at all levels, both within the
organization and externally.
• Adaptability: Flexibility to adapt to changing project requirements, priorities, and
technologies, ensuring continued effectiveness in delivering geological solutions.
• Continuous Learning: Commitment to ongoing professional development, staying
abreast of advancements in geomodelling techniques, mapping technologies, data
science methodologies, and industry best practices.

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