Job Description

The Senior Reservoir Petrophysicist is responsible for delivering advanced integrated reservoir characterization, petrophysical evaluation, and production optimization solutions across the Asia Geozone and global projects. The role combines strong expertise in wireline and drilling log interpretation, reservoir engineering, reservoir simulation, production analysis, and field development studies to support reservoir management and hydrocarbon recovery optimization.

This position plays a critical role in bridging subsurface geoscience, reservoir engineering, and digital technologies by integrating petrophysical interpretation with production behavior, dynamic reservoir performance, and AI-driven analytical workflows. The candidate is expected to provide technical leadership, mentor junior engineers and geoscientists, and contribute to business growth through innovative reservoir evaluation solutions and cross-product line collaboration.

• Maintains the highest standards of corporate governance, ensuring that all activities are carried out ethically and in compliance with Company’s Security, Compliance & HSE policies, Management System, relevant laws, regulations, standards, and industry practices and complies with the Company’s Rules to Live By
• Places Quality, Health & Safety, Security and protection of the Environment as core values while never intentionally placing employees, our processes, customers or the communities in which we live and work at risk
• Seeks continual improvement in Health, Safety, Security & protection of the Environment, taking into account responsible care, process vulnerabilities, public, customer and employee inputs, knowledge and technology and best business practices to exceed customer expectations

• Supervisors & Managers should demonstrate effective safety leadership for the health and safety arrangements of all subordinates and for any persons visiting them while on the Company premises

REQUIRED

• Bachelor’s or Master’s degree in Petroleum Engineering, Reservoir Engineering, Geoscience, or related discipline.
• Minimum 7–10 years of relevant experience in reservoir engineering, petrophysics, reservoir characterization, and field development.

PREFERRED

• Operator company background or direct operator project experience.
• Experience in unconventional reservoirs, hydraulic fracturing, geothermal, CCS, or mature field redevelopment.
• Exposure to AI-assisted reservoir interpretation and cloud-based digital platforms.
• Active participation in SPE, SPWLA, or other professional organizations.

Skills

• Strong understanding of both static and dynamic reservoir evaluation workflows.

• Experience in wireline logging interpretation and drilling services log analysis.

• Proficiency in reservoir engineering software including Petrel, RMS, TechLog, tNavigator, PI Systems, Spotfire, Eclipse, WellFlow, Prosper, Python, MBAL, GAP, PanSystem, WellFlow, etc.

• Experience with coding and data analytics tools such as Python, SQL, MATLAB, or similar platforms.

• Familiarity with AI/ML applications, digital workflows, and automation in subsurface studies.

• Strong analytical and problem-solving capabilities in multidisciplinary environments.

• Ability to work effectively within cross-functional and multicultural teams.

• Excellent communication and presentation skills to effectively interact with clients and stakeholders.

• Ability to identify issues, develop solutions, and implement strategies effectively.

• Strong understanding of the oil and gas industry, market dynamics, and business development principles.

• Proficient with a wide variety of business productivity and infrastructure solution including Microsoft Windows, UNIX, data networks, audio-visual systems, and more.

• Strong analytical and problem-solving skills, with the ability to convey the message to non-technical personnel.

• Excellent teamwork and communication skills to collaborate effectively with multidisciplinary teams.

• Proficiency in spoken and written English.

• Demonstrate ability to adapt to changing project requirements and work in a dynamic environment.

PREFERRED

Experience in new technologies (e.g., CCUS, Green Energy, etc.) and digital solutions (e.g., IoT, AI, machine learning).