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Patent 2967629 Summary

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(12) Patent Application: (11) CA 2967629
(54) English Title: SUPER BROADBAND INTEGRATED SUBSURFACE SEISMIC, SEISMICITY, GROUND VIBRATION, TOPOGRAPHIC DATA COLLECTION, PROCESSING, VISUALIZATION AND ANALYSIS SYSTEM
(54) French Title: SYSTEME DE COLLECTE, TRAITEMENT, VISUALISATION ET ANALYSE DE DONNEES SISMIQUES EN SOUS-SURFACE, DE SISMICITE, DE VIBRATION DU SOL, DE DONNEES TOPOGRAPHIQUES INTEGRES LARGE BANDE
Status: Dead
Bibliographic Data
(51) International Patent Classification (IPC):
  • G01V 1/22 (2006.01)
  • G01V 1/18 (2006.01)
  • G01V 1/24 (2006.01)
(72) Inventors :
  • HOWE, WILSON (Canada)
(73) Owners :
  • SYMROC BUSINESS AND PROJECT MANAGEMENT LTD. (Not Available)
(71) Applicants :
  • HOWE, WILSON (Canada)
(74) Agent: GOWLING WLG (CANADA) LLP
(74) Associate agent:
(45) Issued:
(22) Filed Date: 2017-05-19
(41) Open to Public Inspection: 2017-08-23
Examination requested: 2017-06-22
Availability of licence: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): No

(30) Application Priority Data: None

Abstracts

English Abstract


An integrated super bandwidth seismic, vibration, seismicity
monitoring and surface positioning system with wide detection
range, live surveillance, flexible survey array arrangement,
wireless data transmission, fast processing with data mining,
machine learning capacities, and fast visualization. The system
hardware can be left in the ground for a long duration. The
survey array hardware can be site operated or remotely
controlled to conduct continuous or intermittent surveys.


Claims

Note: Claims are shown in the official language in which they were submitted.


WHAT IS CLAIMED IS:
1. A monitoring system with integration of multiple functions,
capable of: monitoring earthquakes, ground vibrations, induced
seismicity, subsurface seismic survey, GPS positioning, wireless
data transmission to data server, with automated server data
processing, data mining, machine learning and pattern
recognition of the data collected. The system comprises of field
self-powered super broadband sensing units, independent
wireless data transmission, an online receiving or direct data
transfer mechanism, and a machine processing system with quick
response visualization.
2. The system of Claim 1, wherein each sensing unit has super
broadband detection range of o.00i to 420 Hz, with high signal to
noise ratio and with high accuracy to detect dynamic vibrations,
including ground vibrations, subsurface seismic waves,
earthquake signals, and induced seismicity signals.
3. The system of Claim 21 wherein each sensing unit is self-powered
with rechargeable battery.
4. The system of Claim 21 wherein each sensing unit has integrated
GPS, that can perform automatic position information updates.
5. The system of Claim 21 wherein each sensing unit has integrated
independent data recording and a data storage device that can
save detected data for either data transmission and/or data
download.

6. The system of Claim 2, wherein each sensing unit has an
integrated Analog to Digital conversion module, analog and
digital output connections.
7. The system of Claim 2, wherein each sensing unit has an
integrated clock trimming mechanism.
8. The system of Claim 2, wherein each sensing unit has an
integrated signal test generator.
9. The system of Claim 2, wherein each sensing unit has an
integrated wireless transfer unit using 3G/4G or Radio frequency
wireless data transmission method. Each sensing unit can
transmit data independently without passing signal to other
sensing units.
The system of Claim 2, wherein each sensing unit has a
wireless remote control mechanism. Each sensing unit can be
remotely switched on or off to operate either continuously or
periodically.
The system of Claim 3., wherein that the data receiving
server is online, connected to wireless data receiving
mechanisms, and has connection for direct data download.
12. The system of Claim i, wherein data processing software
has automated function using spatial autocorrelation
measurements for seismic facies analysis, and use unsupervised
2

clustering analysis on seismic facies data, with machine learning
capability for seismic and vibration wave pattern recognition. The
processed data can be displayed using time lapse or still imaging
methods in 2D or 3D format with references to ground surface
maps, underground geological structure/ formation map
information, and with interface for analysis.
3

Description

Note: Descriptions are shown in the official language in which they were submitted.


CA 2967629 2017-05-19
Super Broadband Integrated Subsurface Seismic, Seismicity,
Ground Vibration, Topographic Data Collection, Processing,
Visualization and Analysis System
FIELD
[000l.] The invention is an integrated multipurpose system that
generally relates to induced seismicity, ground vibration, subsurface
seismic events, surveys, and surface position dynamic changes
monitoring.
BACKGROUND
[0002] Seismic surveys are commonly used in the resource exploration
field, which commonly involves source signal generation, and
detection of the reflection or refractions of the signals. The signals are
used to generate 2D13D images or time-lapse images (4D)
[0003] Seismicity is a measure which encompasses earthquake
occurrences, mechanisms, and magnitude at a given geographical
location (Physics of the Earth (4 ed.). Cambridge, UK). As such, it
summarizes a region's seismic activity. Induced seismicity refers to
typically minor earthquakes and tremors that are caused by human
activity that alters the stresses and strains on the Earth's crust. Most
induced seismicity is of a low magnitude.
[0004] Ground vibrations normally refers to mostly man-made
vibrations of the ground, in contrast to natural vibrations of the Earth
studied by seismology. For example, vibrations caused by explosions,

CA 2967629 2017-05-19
=
construction works, railway and road transport, etc. The vibrations can
have a wide frequency range, and commonly generate waves that
travel on the ground surface.
[0005] Topography is the study of the shape and features of the
surface of the Earth and other observable astronomical objects. The
topography of an area commonly refers to the ground surface shapes.
[00 6] Various sensing mechanisms are used for detection purpose in
each of these subject areas, using various types of sensors. All the
sensing mechanisms have significant limitations, and there is no single
system that can be utilized for seismic survey, induced seismicity
monitoring, ground vibration monitoring, topographic survey,
combining with continuous operations, wireless data transfer,
automatic data processing and visualization capabilities all together.
[0007] This invention is the first system that provides all these
combined functionalities and capabilities.
SUMMARY
[0008] This invention comprises of super broadband, integrated
sensing units to detect dynamic seismic signals, seismicity, vibration
signals, and GPS signals all together. Each field sensing unit has a
super bandwidth (o.00l. -420 Hz) with the capability to detect low
frequency seismicity, mid-range and high frequency seismic and
vibration signals, creating a super broadband detection range all within
each integrated sensing unit. The sensing units are installed in the
application areas individually or with an independent array
arrangement. With array arrangement, each sensing unit retains
independent operation. The sensing units can be field operated or
2

CA 2967629 2017-05-19
remotely controlled to continuously or intermittently collect, store,
and transmit integrated data to an online server for automatic data
processing, recognition, and generate visualization with an integrated
map interface.
BRIEF DESCRIPTION OF DRAWINGS
[wog] FIG.1 is a photograph of an integrated sensing unit, with super
bandwidth high accuracy detection sensor suitable for seismic,
seismicity and vibration signals detection, with self-power, self-
temperature detection adjustment, integrated GPS, built-in analog to
digital signal conversion, integrated data storage, and wireless
transmission mechanism.
[ooio] FIG.2 is a processing illustration of the system. The integrated
sensing units are installed in the application field, and continuously or
intermittently operate to collect field data. Each sensing unit is
operated independently and can wirelessly transmit collected data to
an online server. The sensing units are not connected to each other in
the field. The sensing units can be repositioned freely, with integrated
GPS to automatically collect new positioning information.
[ooil] The sensing units send data sets wirelessly to an online server
for processing. The sensing units have an optional operation to collect
and store data in each sensing unit. The stored data can be directly
downloaded to the server through a physical connection on each
sensing unit.
[0012] The system software uses automated functions to process
received data with built in processing algorithms. The system software
differentiates between signal components to separate subsurface
3

CA 2967629 2017-05-19
seismic events, seismicity events, and ground vibration events. The
processed data is used to combine with each sensing unit's GPS data to
generate visualization and display With 2D, 3D, or motion images, with
map reference interface. The visualization combines surface
topography with underground events location information and
subsurface structure information.
[0003.3] FIG.3 is a photograph that shows the physical connection on
each sensing unit. The connection is used for power recharge
connection, additional battery pack connection/external solar panel
connection, and direct data download connection.
DETAILED DESCRIPTION
[0014] The general system process follows a general sequence of field
sensing, wireless data transmission, automated data processing,
visualization and display
SENSING UNITS
[0015] Field sensing starts with installation of minimum of one
integrated sensing unit. Each integrated sensing unit has high accuracy
to detect dynamic seismic signals, seismicity and vibration waves with
superior broad bandwidth. Key sensor technical specifications are
Bandwidth: o.oiHz ¨ 42oHz, Ripples in bandwidth: <+/-0.2db,
Maximum phase distortion: <0.75 degree, System dynamic range: 120
dB, Total harmonic distortion: <0.075%. Installation can be on ground
surface or buried underground. The integrated sensing units can also
be lowered into wells or submerged under water.
4

CA 2967629 2017-05-19
[0016] Each integrated sensing unit has built-in analog to digital
converter, self-temperature monitoring and adjustment, built-in signal
quality control, built-in clock trimming, built-in power reserve, built-in
data storage device, integrated wireless data transmission/
communication module, and integrated GPS module.
[00171 Each integrated sensing unit has a built-in battery reserve that
can sustain long periods of operations without recharging. Each
integrated sensing unit can be remotely turned on or off through the
built-in wireless data transmission and communication module.
[ooi.8] Multiple integrated sensing units can form an array when
required. However, each integrated sensing unit operates
independently, without the need to be connected to other sensing
units. Each integrated sensing undwirelessly communicates with an
online data server without passing data to other sensing units.
WIRELESS DATA TRANSMISSION
[0019] Each integrated sensing unit collects data during operations,
saves the data to built-in storage device and transmits the data
through the built-in wireless data transmission and communication
module.
[0020] Wireless data transmission is based on 3G/4G/5G wireless
technology or Bluetooth technology, depending on operation location
distance and communications infrastructure availability in the region.
[0023] In a situation that wireless data transmission is not ideal or not
permitted in the application area, direct data download can be

CA 2967629 2017-05-19
performed on each integrated sensing unit for data transfer from time
to time
AUTOMATED MACHINE DATA PROCESSING
[0022] After installation of the integrated sensing units in the
application area, the system is first turned on to record a period of
ambient signals, prior to detection of target signals. The signal data set
is transmitted to online automatic data processing server to set
ambient signal pattern baseline. The baseline period is selected to
reflect normal ambient condition prior to detection of any target
signals. In the example of induced seismicity monitoring, a "quiet"
period is selected from the recorded data, when no earthquake related
seismicity events or similar noises occurred.
[0023] For passive seismic and seismicity monitoring or ground
vibration detection, the integrated sensing units operate and transmit
data continuously or intermittently with preset programs, or by
manual control.
[0024] For active seismic survey, signal source is required. The
integrated sensing units can receive signals from conventional sources,
e.g. signals from vibroseis, explosives, etc. or, unconventional sources
such as vibrations from underground steam injectors, by positioning
one integrated sensing unit on a section of steel piping connected to
the steam injector, and performing correlation deconvolution to filter
source signal and related reflection, and refraction signals for data
processing and analysis.
[0025] The system software for automated processing use SOM (self-
organized mapping) based clustering analysis on seismic facies data
6

CA 2967629 2017-05-19
monitoring. The process uses unsupervised clustering to process
seismic facies analysis by combining different seismic attributes
through pattern recognition algorithms. The software has spatio-
temporal correlation and association rule for data mining algorithms,
and identifies correlations and association relationships among key
factors.
[0026] The system software for automated processing function uses
two categories of spatial correlation measures. 3.. From geostatistics
perspective. 2. From the spatial entropy perspective. Built-in spatial
index data structures are used for spatial correlation calculations.
Clustering methods includes partition clustering, hierarchical
clustering, density-based clustering, and grid-based clustering
methods.
[0027] The system software for automated machine data processing
has built-in machine learning capability for pattern recognition.
Recognized signal data patterns will be treated with less processing
steps, software automated processing will test hypotheses and apply
learned results for the same patterns if the hypothesis tests pass.
VISUALIZATION AND DISPLAY
[0028] The system software provides multi-interface for visualization
and display. The processed data with spatial information is visualized
and displayed in 2D, 3D, or motion imaging visualization, with visual
reference to surface maps, subsurface maps and geological
information systems, with display adjustment and analysis capabilities.
7

CA 2967629 2017-05-19
[0029] All figures, photos, numbers are illustration examples. The
shape, configuration, sequencing, and process description details of
the hardware and software may vary depending on the application and
environment. Variations, substitutions and changes may occur for
those skilled in the areas, without departing from the invention
disclosed.
8

Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

For a clearer understanding of the status of the application/patent presented on this page, the site Disclaimer , as well as the definitions for Patent , Administrative Status , Maintenance Fee  and Payment History  should be consulted.

Administrative Status

Title Date
Forecasted Issue Date Unavailable
(22) Filed 2017-05-19
Examination Requested 2017-06-22
(41) Open to Public Inspection 2017-08-23
Dead Application 2018-12-07

Abandonment History

Abandonment Date Reason Reinstatement Date
2017-12-07 R30(2) - Failure to Respond

Payment History

Fee Type Anniversary Year Due Date Amount Paid Paid Date
Application Fee $200.00 2017-05-19
Request for Examination $400.00 2017-06-22
Registration of a document - section 124 $100.00 2017-11-23
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
SYMROC BUSINESS AND PROJECT MANAGEMENT LTD.
Past Owners on Record
HOWE, WILSON
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Abstract 2017-05-19 1 14
Description 2017-05-19 8 272
Claims 2017-05-19 3 72
Drawings 2017-05-19 3 298
Courtesy Letter 2017-06-07 2 67
Correspondence Related to Formalities 2017-06-14 2 31
Office Letter 2017-06-19 1 41
Request for Examination 2017-06-22 1 25
Amendment 2017-06-22 2 42
Office Letter 2017-06-28 1 41
Special Order 2017-06-27 2 65
Representative Drawing 2017-07-27 1 13
Cover Page 2017-07-27 2 46
Special Order - Green Granted 2017-08-23 1 53
Examiner Requisition 2017-09-07 4 201
Change of Agent 2017-11-23 2 63
Office Letter 2017-12-11 1 28
Office Letter 2017-12-11 1 30
Special Order - Green Revoked 2018-02-20 1 54