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Location
In office (Bangkok)

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 2, 2026. SLB scores B on the Alion truth index.

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SLB

SLB, formerly Schlumberger, is an oilfield services and energy technology company with its principal offices in Houston, Texas. Founded in 1926 by the brothers Conrad and Marcel Schlumberger in France, it provides reservoir characterization, drilling, well construction, production and digital software services to oil and gas operators in more than 100 countries. It is listed on the New York Stock Exchange and also works on carbon capture, geothermal and other low-carbon technologies.
  • Provide technical support in the area of expertise throughout the Sales and Product and Service Delivery process.
  • Assist as required with the development of technical job designs for PLs.
  • Assist with identifying areas where new and cost effective techniques can be applied.
  • Explore opportunities for value-added products and services.
  • Consult with Design/Technical Engineer role as required to optimize the technical design.
  • Assist in real-time incident response, recovery, and investigation as related to the area of expertise.
  • Assist in evaluating technical viability and overall appraisal of tenders as related to the area of expertise.
  • Remain current on new technologies.
  • Maintain customer visibility through active participation in professional society activities and calls for papers.
  • Understand the competition’s technical offering.
  • Participate in external technical societies and communities.
  • Contribute, write and review technical publications.
  • Engage with local universities, Customer institutes and research organizations.
  • Reservoir Dynamic Simulation involves the development and application of a numerical reservoir model to understand and predict fluid flow behavior within the reservoir throughout its life cycle.

    The scope typically includes reviewing and quality-controlling reservoir dynamic data such as production, pressure, PVT, SCAL, and well test data; preparing and initializing the simulation model using static geological inputs; calibrating the model through history matching of pressure, production rates, water cut, gas-oil ratio, and injection performance; conducting production forecasting under various development scenarios; evaluating field development and reservoir management strategies including infill drilling, well placement, pressure maintenance, and injection optimization; performing uncertainty and sensitivity analyses to assess risks and forecast ranges; and delivering a calibrated dynamic model, forecast cases, development recommendations, and technical reports to support reserves estimation, production optimization, and field development planning.

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