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Details of Award

NERC Reference : NE/N012097/1

Improving reservoir management

Grant Award

Principal Investigator:
Professor A Seshia, University of Cambridge, Engineering
Science Area:
Earth
Overall Classification:
Unknown
ENRIs:
Natural Resource Management
Science Topics:
Microsystems
MEMS
Downhole Technology/Processes
Oil & Gas Extraction
Drilling for Oil/Gas
Enhanced Oil Recovery
Handling Fluid/Solid Products
Hydrodynamics of Oil or Gas
Oil/Gas Reservoir Management
Seismic Oil Recovery
Well Exploration
Well Productivity & Recovery
Intelligent Measurement Sys.
System on Chip
Technology and method dev
Abstract:
Existing methods (seismic and electromagnetic) suffer from serious limitations in their ability to provide continuous, low cost data that can be interpreted to determine water location, volume, and movement throughout a reservoir. Seismic surveys typically require a surface generated signal for deep reservoir phase definition which is costly and in some cases difficult or impossible to obtain. Also, time based (4D) seismic must image phases (to contrast gas versus water acoustic velocity) and does not proportionately see varying volumes. Conventional EM has sensitivity to conductivity changes within the reservoir but only provides information where there are conductivity contrasts such as saline formations, but not depleted reservoirs. Development and commercialization of a robust miniaturised gravity sensor would address these limitations and provide a step change in subsurface verification and monitoring capability. Gravity has inherent advantages to seismic and EM. The gravity signal is always present and does not require a source to generate a response. Also, by detecting differentials in mass or density, gravity offers complementary and independent measures to seismic (which measures acoustic velocity) and EM (which measures differential resistivity). The combination of 4D seismic plus gravity will result in reduced error and improved seismic interpretations. Unlike EM, gravity is deep reading - able to penetrate up to 2000'. Gravity, and in particular MEMS technology, is lower cost (only a few pounds per sensor). MEMS technology also offers other distinct advantages for wellbore deployment, including ease of miniaturizaton and packaging and flexibility on orientation. Because of these attributes, the MEMS gravity sensor is the optimum technology to underpin a system of periodic or low cost permanent sensor arrays in wellbores. This project aims to pilot the development of a new MEMS gravity tool for reservoir imaging.
Period of Award:
1 Dec 2015 - 31 Mar 2019
Value:
£415,769
Authorised funds only
NERC Reference:
NE/N012097/1
Grant Stage:
Completed
Scheme:
Innovation
Grant Status:
Closed

This grant award has a total value of £415,769  

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FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDI - EquipmentDA - Estate CostsDI - StaffDI - T&SDA - Other Directly Allocated
£107,841£100,964£4,967£20,340£36,717£106,733£28,379£9,827

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