Senior Consultant - Geophysicist -Seismic Reservoir Characterization

About Anton Anton is a globally leading integrated oil and gas value-added management service company committed to delivering resource value-maximizing solutions for clients through three core elements: technology, management, and resources. Headquartered in Dubai with a worldwide business footprint, Anton employs approximately 7,000 professionals from over 30 countries and regions. Anton's long-term vision is to become a world-leading green energy technology service enterprise, growing together with clients and talent while driving high-quality development in the energy industry. About the role Position Title: Senior Consultant - Geophysicist -Seismic Reservoir Characterization Work Location: Kuwait Department: On-sync Energy Management Services Company. Job Responsibilities • Develop and calibrate rock physics models linking elastic properties to reservoir properties such as porosity, permeability, lithology, and fluid saturation. • Lead seismic-to-well calibration workflows, including synthetic seismograms, wavelet extraction, phase analysis, and time-depth optimization. • Develop and quality-control rock physics templates and diagnostic crossplots using core, well-log, and production data. • Apply fluid substitution and rock physics modelling to predict seismic responses for different reservoir fluid scenarios. • Perform well-log quality control, normalization, environmental corrections, and depth-to-time conversion for seismic inversion and AVO studies. • Design and execute seismic inversion workflows, including model-based, sparse-spike, simultaneous, stochastic, and geostatistical inversion. • Generate acoustic and elastic impedance, Vp/Vs, and other quantitative seismic volumes for reservoir property prediction. • Deliver seismic-derived porosity, net-to-gross, saturation, and lithofacies probability volumes calibrated against well and core data. • Conduct Quantitative Interpretation (QI) studies to identify reservoir sweet spots, bypassed pay, and opportunities for appraisal and infill drilling. • Apply machine learning and advanced analytical techniques to seismic inversion and facies classification. • Lead pre-stack AVO and AVAz analysis for lithology and fluid discrimination and assessment of natural fracture characteristics. • Conduct Direct Hydrocarbon Indicator (DHI) studies and provide calibrated risk assessments for exploration and appraisal targets. • Extract and interpret seismic attributes, including amplitude, frequency, phase, spectral decomposition, curvature, coherence, similarity, and dip-related attributes. • Develop seismic facies classification workflows using neural networks, self-organizing maps, probabilistic methods, and other advanced techniques. • Integrate seismic attributes with well logs, core data, geological information, and biostratigraphic data to support static geological modelling. • Lead 4D seismic feasibility, processing, and interpretation studies to monitor changes in saturation, pressure, compaction, fluid movement, and reservoir performance. • Integrate 4D seismic results with dynamic reservoir simulation and production data to support history matching, fluid-contact updates, and recovery forecasting. • Provide geophysical input to EOR programs, including waterflooding, gas injection, and other reservoir surveillance activities. • Evaluate 4D seismic repeatability and recommend improvements to acquisition and monitoring strategies. • Lead integrated reservoir characterization studies combining seismic QI, petrophysics, geological modelling, and dynamic simulation. • Collaborate with Reservoir Engineers and Petrophysicists to integrate seismic-derived reservoir properties into static and dynamic models. • Support appraisal and development well planning by providing reservoir thickness, porosity, fluid-contact, and uncertainty assessments. • Develop uncertainty quantification workflows using scenario-based, Monte Carlo, and geostatistical methods to support volumetric and development decisions. • Promote AI/ML-assisted quantitative interpretation, automated facies classification, and advanced reservoir property prediction. • Evaluate emerging digital subsurface technologies, cloud platforms, and HPC environments for quantitative reservoir characterization. • Prepare and present technical QI studies, reservoir characterization reports, interpretation results, and seismic deliverables to technical and management stakeholders. • Provide technical training, mentoring, and knowledge transfer to geoscientists and engineers. • Lead multidisciplinary teams and coordinate effectively with geophysicists, geologists, geochemists, petrophysicists, and reservoir engineers. • Participate in technical benchmarking, research initiatives, industry forums, and professional knowledge-sharing activities. Qualification Requirements • PhD in Geophysics, Geoscience, or a closely related discipline. • Minimum 25 years of professional Upstream Oil & Gas experience, with extensive experience in seismic reservoir characterization and E&P activities. • Extensive expertise in rock physics, seismic-to-well calibration, quantitative interpretation, seismic inversion, AVO/AVAz, and DHI analysis. • Strong experience in reservoir characterization using seismic attributes, facies classification, impedance modelling, and fluid prediction. • Proven experience with 4D seismic monitoring, reservoir surveillance, EOR support, and integration with dynamic reservoir simulation. • Strong knowledge of probabilistic and geostatistical methods for uncertainty quantification and reservoir property prediction. • Experience applying AI/ML, deep learning, cloud computing, and HPC technologies to seismic reservoir characterization is highly desirable. • Proven ability to develop, scope, plan, and manage complex technical projects and multidisciplinary studies. • Demonstrated experience leading multidisciplinary teams comprising geophysicists, geologists, geochemists, petrophysicists, and reservoir engineers. • International experience with major E&P companies, research institutions, or technical organizations is preferred. • Strong leadership, strategic thinking, analytical, problem-solving, communication, innovation, and stakeholder-management skills. • Excellent English communication and technical report-writing skills. • A strong record of academic or technical publications in recognized geoscience and industry journals is preferred. • Middle East experience is an advantage. 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