| Job Detail |
Key
Responsibilities:
- Interpret open-hole and cased-hole wireline and LWD
data to determine lithology, porosity, permeability, hydrocarbon
saturation, and fluid contacts.
- Integrate petrophysical interpretations with
geological, geophysical, and reservoir engineering data to develop robust
reservoir models.
- Provide real-time petrophysical support during drilling
operations and advise on data acquisition programs (logging suites, core,
MDT/RCI, etc.).
- Design and evaluate core analysis and SCAL programs,
and integrate laboratory results into reservoir models.
- Generate petrophysical input for volumetric estimates,
static models, and reserves/resource classification (SPE-PRMS).
- Evaluate formation evaluation tool performance and
recommend new technologies or workflows to improve data quality and
efficiency.
- Collaborate with multidisciplinary teams (geoscience,
drilling, reservoir, production) to support field development planning and
reservoir management.
- Prepare and present petrophysical evaluations,
interpretations, and recommendations to management and partners.
- Maintain data integrity, documentation, and compliance
with company standards and regulatory requirements.
Qualifications
and Experience:
- Bachelor’s or Master’s degree in Petroleum Engineering,
Geoscience, Physics, or related field.
- Minimum 7–10 years of relevant experience in
petrophysical interpretation within an E&P environment.
- Proven experience in both conventional and
unconventional reservoirs.
- Strong background in formation evaluation for
exploration, appraisal, and development wells.
- Experience with integrated subsurface interpretation
workflows.
- Proficient in industry-standard software’s.
- Solid understanding of well log theory, tool responses,
and log quality control.
- Experience with NMR, image logs, and advanced logging
tools.
- Familiarity with rock typing, SCAL data interpretation,
and saturation-height modeling.
- Understanding of reservoir characterization workflows
and integration into geo-modelling.
- Strong analytical and problem-solving skills.
- Effective communicator with ability to explain complex
technical concepts to non-specialists.
- Team-oriented, collaborative, and adaptable in a
multidisciplinary environment.
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