mqvscompetition

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Fiber Seismic Acoustic Operational principle Point sensor (i.e. - seismic transducer) that transforms seismic signal to an optical signal Distributed sensor (fiber dubs as a sensor) Sensitivity High Low Directionality Yes No Vendors MagiQ Weatherford Paulsson, Inc. US Seismic Systems, Inc. OptaSense Ziebel Silixa Fotech MagiQs current product is an ultra-high temperature (up to 300 O C) micro-seismic sensor . Unlike Distributed Acousc Sensing (aka - DAS), seismic provides high-fidelity vector signal that can unambiguously determine event locaon. Micro Seismic vs. DAS

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Page 1: MQvsCompetition

Fiber Seismic Acoustic

Operational principle

Point sensor (i.e. - seismic

transducer) that transforms

seismic signal to an optical

signal

Distributed sensor (fiber dubs

as a sensor)

Sensitivity High Low

Directionality Yes No

Vendors

MagiQ

Weatherford

Paulsson, Inc.

US Seismic Systems, Inc.

OptaSense

Ziebel

Silixa

Fotech

MagiQ’s current product is an ultra-high temperature (up to 300OC) micro-seismic sensor. Unlike Distributed Acoustic Sensing (aka - DAS), seismic provides high-fidelity vector signal that can unambiguously determine event location.

Micro Seismic vs. DAS

Page 2: MQvsCompetition

Bandwidth Sub-Hz to Multi-kHz 1 to 800 Hz Up to 2000 Hz 1 to 600 Hz

Noise floor 50 ng/Hz1/2

200 ng/Hz1/2

50 ng/Hz1/2

50 ng/Hz1/2

Dynamic range 160 dB 129 dB Not specified 130 dB

Maximum number of channels

288 per interrogator

32

256

100

Inter-channel cross talk

0.1%

1%

Not specified

Not specified

Operating Temperature

Up to 320

OC

Up to 175

OC

Up to 320

OC

Up to 200

OC

Comments

We design the entire system vs. being de-pendent on other suppli-ers

Old design, low max T, not profit-able

Buys interrogators from a competitor (Optiphase, owned by Halliburton)

Non exclusive license for interro-gator (Northrop Grum-man)

MagiQ vs. competition

MagiQ makes both sensors and interrogators, i.e. we do not depend on

third party suppliers for any critical components. This approach lets us to

optimize the sensor at the system level, i.e. better performance for lower

price.