Sr. Reservoir Engineer (JO016403) Doha, Qatar
|Salary:||USD550 - USD600 per day + Medical Insurance|
- Resume and/or accelerate the development of the Al Shaheen reservoirs by studying, maturing and proposing for validation the drilling of new wells and/or work-over opportunities from existing slots or from future slots for additional phases of field development including strategy, definition of development patterns, reserves/resources assessments and appraisal strategy.
- Focus on the understanding and description of production mechanisms (water-flooding, gas injection) involved in sector, full-field or phenomenological reservoir models.
- Responsible for day-to-day well performance monitoring, well test requirements, well potential updates
- Implement and validate the reservoir engineering techniques linked to its activity (planning, evaluation and interpretation of well tests, interpretation of PLT, decline curve analysis, material balance, production nodal analysis, definition of production mechanisms, prediction of production performance and injection, PVT analysis, etc.)
- Validate the analysis of reservoir data (static and especially dynamic) and the syntheses of dynamic data for pressure conditioning actions to be implemented for drilling of new wells
- Participate in the synthesis of subsurface data and ensure the consistency of assumptions between the different disciplines (geophysics, geology and petrophysics, production technology and geo-information) - Co-responsible in the construction of reservoir models (static and dynamic) in close collaboration and iterations with the geophysicist, geologist and reservoir specialists. Optimizing the modeling of reservoir flows according to the heterogeneities and the production mechanisms to be implemented resulting in a history matched sector and possibly full reservoir dynamic model
- Ample autonomy in the field of dynamical simulation of reservoirs, in methodology, in knowledge of reservoir simulation softwares (ECLIPSE...) and interface systems
- Integrate the data from existing production, new development and appraisal wells into the models