The Schlumberger Moscow Research Center (SMR) initiated its first collaborative research projects with Russian universities in 1998. The first research facility officially opened its doors in 2003. By the end of 2010 the population of SMR grew up to 70 scientists and the center moved to a new state-of-the-art building next to the campus of Moscow State University, a major research and educational hub in Russia. Currently, SMR is the third largest Research Center in Schlumberger after SDR and SGR. The modern experimental laboratory of >400 m2 together with the 200 Tflops GPU/CPU high performance cluster allows researchers to develop, simulate and test breakthrough “from pore-to-production” technologies.
SMR is a center of excellence in reservoir physics at the pore level, temperature and acoustic measurements, and complex coupled multiphase flows in a wellbore and fracture networks. Its research programs capitalize on a collaborative network with the Russian academic community and customers that enable the production of world-class products and services. Research at SMR focuses on specific challenges of hydrocarbon mobility in complex reservoirs, production dynamics after and during the multistage stimulation, and monitoring and evaluation of the well production based on the physical measurements and data analytics.
The Reservoir Potential department is the main hub of accumulated expertise in multiphase flow, pore-scale modelling and multiscale analysis. By utilizing the experimental and fundamental analysis of multiscale hydrocarbon transport and storage at a pore-level, the team is focusing on understanding and managing complex rock flow capacity, introduction of multi-scale modelling for complex reservoirs and building out-of-the-box production solutions via digital rock approach. The latter was introduced by Schlumberger in 2013 as a CoreFlow Digital Rock and Fluid service, and received a 2014 World Oil Award as a Best Exploration Technology. The department is also developing high-performance visualization techniques for representation of complex dynamic multiscale physical processes on the cloud environment in real time.
The goal of Production Dynamics is to understand and research means to increase the productivity of hydraulic fractures in multi-stage completions by being faithful to the actual rock properties, to fracture morphology, and to realistic multiphase flow conditions. A thorough understanding of how fracture conductivity can be created, how it couples with wellbore dynamics, and how it evolves over time is essential – not only for fracture design – but for integrated completion designs, artificial lift operations, flowback, EOR strategies and alternative fracturing methods. In 2016 department contributed into commercialization of the AvantGuard Advanced Flowback Services, which in 2017 received a Hart’s Meritorious Engineering Award in Hydraulic Fracturing/Pressure Pumping nomination.
The key objective of the Production Evaluation department is to develop new methods and methodologies for production monitoring and surveillance during the life of the well. The department research is based on the expertise accumulated in multiphase flow, the knowledge of non-isothermal processes and near-wellbore transient modelling capabilities that has been developed in the center since the early 2000’s. Department also uses advances in data analytics and machine learning to quantify flow, detect and characterize reservoir production behavior with respect to near-wellbore properties and fluid phase content.