MagTrak Magnetic Resonance

Maximize production rates and reserves

Baker Hughes MagTrak™ LWD magnetic resonance (MR) service offers industry-standard, T2-based, real-time MR data that locate and identify producible fluids even under the most difficult drilling conditions. This is an alternative to wireline MR logging in high-cost, high-risk wells.

These lithololgy-independent, high-quality data—acquired downhole while drilling without any effect on your drilling schedule—include accurate porosity, fluid type identification, and an estimate of permeability. With over 500,000 ft logged so far, the vibration-tolerant MagTrak tool has never needed a costly MAD pass to reacquire data that were compromised because of excessive drilling vibration.

Save time and money

The real-time data offer invaluable support for geosteering while quantifying the amount of recoverable hydrocarbon. You can keep the well path in the most porous and permeable reservoir sections, saving rig time by quickly identifying reservoir quality changes. This approach also enables you to make faster decisions while drilling. 

The real-timeT2 spectrum allows you to identify the fluid type while estimating saturation levels, permeability, and in-situ fluid viscosity. The MagTrak tool can be used in almost any borehole fluid with Rm ≥ 0.02 ohm-m at temperatures to 302 deg. F [150 deg. C].

In wells where the lost-in-hole risk is high, the sourceless and lithology-independent porosity data offer by the tool can mitigate the risk of losing radioactive sources in your well.

Simple to use with minimum preplanning

The robust tool, designed for everyday use, has a standard data acquisition package, eliminating the need for extensive preplanning and modeling required by other LWD-MR systems. As with any LWD job, the prejob operational planning is critical to ensure successful wellsite execution.

Brazil

As your cost of doing business continues to increase, we’re making significant infrastructure investments that are enabling us to work closer with your teams.

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