Geoscientist - Petrophysicist in Bengaluru, India

at ExxonMobil
Location Bengaluru, India
Date Posted June 15, 2020
Category Geophysicist
Job Type Permanent

Description

Job Role Summary
 
We are seeking dynamic, creative, and resourceful candidates for ExxonMobil’s Bengaluru, India, location to work on challenging petrophysical problems in collaboration with a multi-disciplinary team of formation evaluation specialists and operations geologists located in Houston, USA.  Candidates will conduct applied project work with real well log, core and well test data, using a variety of software for petrophysical data processing and evaluation. 
 
Responsibilities:

• In consultation with ExxonMobil’s Formation Evaluation group in Houston, define project objectives, work scopes and deliverables
• Contribute to all stages of petrophysical project work including data preparation, pre-processing, data filtering / augmentation, environmental corrections, and calibration
• Conduct model-based petrophysical analyses, while supporting ExxonMobil’s efforts to formulate new and innovative workflows to improve the efficiency of multiwell workflows 
• Perform sonic log Q.C., rock physics modeling, fluid substitution, well-to-seismic ties, and seismic modeling if needed 
• Work with computational scientists, engineers, and geoscientists to test, deliver and support various petrophysical software tools, models, algorithms, and software 
 
Requirements
 
• Bachelor’s or Master’s degree with minimum 7.0 GPA or equivalent from a recognized university in Geology, Geophysics, Engineering or Physics 
• Demonstrated record of hands-on industry experience in petrophysical analyses in support of upstream oil and gas operations; minimum of 5 years industry experience required
• Demonstrated in-depth understanding of seismic rock physics, and seismic wave propagation
• Strong computational and analytical skills
• Experience with one or more integrated petro physical analysis software suites
• Proficiency in English and strong communication skills
• Knowledge of well log, core and test data acquisition, statistical methods, machine learning, signal processing, numerical modeling, computer programming and optimization will be an advantage
• Willing to travel internationally including offshore, based on business needs
 

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