Perform rock physics analysis to support reservoir characterization seismic integration and geomechanical studies Process analyze and interpret acoustic and sonic logging data including monopole and dipole measurements Execute rigorous log quality control QC data validation editing and conditioning workflows Develop and implement log normalization methodologies to ensure data consistency across fields Apply machine learning and data analytics techniques to improve petrophysical workflows automate interpretation processes and identify data-driven insights Experience in carbonate environments Familiarity with seismic-petrophysical integration and elastic property modeling Experience with Python data science and machine learning libraries Strong communication presentation and stakeholder management skills
Key Technical Skills Rock Physics Acoustic Sonic Log Processing Multiwell Petrophysical Interpretation Log Quality Control QC Data Editing and Conditioning Log Normalization Formation Evaluation Reservoir Characterization Machine Learning amp Data Analytics Integrated Subsurface Studies
Bachelor s degree in Geology, Geophysics, Petroleum Engineering, Physics, or a related discipline. Minimum 10 years of experience in petrophysics within the oil and gas industry. Strong expertise in rock physics and petrophysical interpretation. Demonstrated experience in acoustic/sonic log processing and interpretation . Extensive experience in multiwell petrophysical analysis and field-scale studies . Proven ability in log quality control, data editing, and data conditioning .
Experience with log normalization and environmental corrections. Practical knowledge of machine learning applications in subsurface data analysis. Proficiency with Techlog software platform.
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