Methods of field development of the Arctic shelf significantly different from oil land fields. The key features of the shelf fields are high costs and limited space to place the equipment. The field devepment plan should ensure high recovery factors with the relatively small number of production wells within the short period of time. The main factor to achieve the planned oil recovery factor is implementation of new technologies and approaches in the advanced well completion, well stimulation, and the use of full field reservoir model to take the best effective decisions in the part of the existing and project wells focused to increase the technological and economic efficiency of the project.

This work is devoted to the comprehensive approach to field development based on hydrodynamic and tracer studies, generalization of field-geological information and geological and hydrodynamic stimulation.

Keywords:
Artificial Intelligence, drillstem/well testing, Drillstem Testing, concentration, machine learning, Upstream Oil & Gas, chemical tracer, tracer test analysis, prirazlomnoye oil field, Long-term Monitoring
Subjects:
Drilling Operations, Well & Reservoir Surveillance and Monitoring, Reservoir Characterization, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Reservoir Simulation, Formation Evaluation & Management, Production logging, Flow in porous media, Drillstem/well testing
Copyright 2018, Society of Petroleum Engineers
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