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Seed-sized U-M computers pumped into oil wells featured at the Houston Museum of Natural Science

Millimeter-sized computers log the temperature and pressure from deep within oil wells.| Short Read
EnlargeM3 oil sensor
IMAGE:  A packaged Michigan Micro Mote sensing computer, measuring 5mm x 5mm, for use in oil wells. Photo by Dr. Gyouho Kim

Tiny computers developed at the University of Michigan will be featured for their role in oil exploration as part of a new exhibit at the Houston Museum of Natural Science.

The computers, which range from 1.5mm x 2.5mm to 5mm x 5mm – about the size of a sesame seed to a corn kernel – are small enough that they can be pumped into vertical and horizontal oil wells and travel through machinery without damaging the drilling equipment.

When inside the wells, sensors on the computers measure and log temperatures and pressures, which can help oil companies monitor the dynamic production conditions.

EnlargeConcept drawing from the Weiss Energy Hall
IMAGE:  Concept drawing from the Weiss Energy Hall at the Houston Museum of Natural Science

“It’s very hard to understand what exactly is going on at the other end of a drill bit,” says David Blaauw, professor of electrical and computer engineering at U-M. “It’s kilometers deep. Even this very simple data about temperature and pressure along the pipeline is very useful.”

Oil companies typically feed a cable with sensors down into a well to measure temperature and pressure. This requires halting production, and cables can also have difficulty maneuvering through horizontal pipes. These computers, however, can be pumped in while the well is active and flow along any angle of pipe.

The computers are versions of the Michigan Micro Mote, or M3, and were developed by a team of professors in electrical engineering and computer science at Michigan, including David Blaauw, Dennis Sylvester, David Wentzloff, Anthony Grbic, and Jamie Phillips, and research scientist Inhee Lee. These faculty cover a range expertise from low power electronics to antenna and photovoltaic device design.

On learning about the M3 system, the Advanced Energy Consortium (AEC), an industrial research group from the Bureau of Economic Geology at the University of Texas, approached the researchers to collaborate on building similar computers capable of working in the harsh environment of an oil well.

It’s the very worst place on earth to put electronic equipmentDavid Blaauw

“It’s the very worst place on earth to put electronic equipment,” says Blaauw. “It’s extremely hot, it’s very high pressure, and it tends to have brine – a very aggressive salt mixture. If any of that hits your electronics, they will die.”

To withstand the harsh chemical environment, temperatures, and pressures, RTI, an independent non-profit research institute, encases the computers in an epoxy. The team also continues to develop better functionality.

“We’re still trying to shrink them,” says Blaauw. “And if we can sense hydrocarbons, conductivity of the fluid, and geolocate them when the computers are taking their readings, that would be very powerful.”

The computers will be showcased in the Wiess Energy Hall, an expanded exhibit at the Houston Museum of Natural Science. The Wiess Energy Hall is holding its grand opening on November 20, 2017.

The M3 computer is also featured at the Computer History Museum in Mountain View, CA.

M3 oil sensor
Concept drawing from the Weiss Energy Hall
Dan Newman Portrait

Contact

Dan Newman
Communications Coordinator

Electrical Engineering and Computer Science

(734) 764-7078

3406 EECS

Researchers
  • David Blaauw

    David Blaauw

    Professor, Electrical Engineering and Computer Science

  • Dennis Sylvester

    Dennis Sylvester

    Professor, Electrical Engineering and Computer Science

  • David Wentzloff

    David Wentzloff

    Associate Professor, Electrical Engineering and Computer Science

  • Anthony Grbic

    Anthony Grbic

    Professor, Electrical Engineering and Computer Science

  • Jamie Phillips

    Jamie Phillips

    Arthur F. Thurnau Professor, Electrical Engineering and Computer Science

  • Inhee Lee

    Assistant Research Scientist

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