Presented by Chris Brown - Oriented Targeting Solutions In this workshop, we’re focussing on utilizing the most effective hardware and software technologies to allow for real-time targeting. We look at strategies and processes such as quality control, query-able database structure, real-time visualization, and importing of validated and domained structural data into the 3D workspace.

1. Developing a Workflow
for Oriented Core
Success
PRESENTED BY
Chris Brown
President/CEO- Oriented Targeting Solutions (OTS)
cbrown@orientedcore.com
Oriented Targeting Solutions
Oriented Core - Structural Geology - Geochemistry

2. What’s Fuelling the Renaissance in Oriented Core?
/ 2
• Greenfields targets need vectors-
Need to know the most when you know
the least / More blind discoveries in the
future
• Historic exploration districts need
fresh targets- Need to target structural
controls on mineralization
• Oriented core is cost effective- A
single hole can define planar structural
features and lineations
• Recent hardware/software
development and oriented core
QAQC- Real-time modelling of validated
structural data
Rhys, 2014
Surface expression of fault
hosting the Guadalupe Vein-
Palmarejo, Chih Mexico

3. New Hardware and Software for Oriented Core
/ 3
Insert QAQC here!
•Amazing new tools for oriented
structural data capture, analysis and
modelling
•Don’t allow garbage data to make it
to the model!
Core Orientation/Structural Logging
Analysis
Data Management
Modeling

4. A Little Effort Towards Quality Control Goes a
Long Way
/ 4
Too often in the past- geologists have mis-managed the core
orientation process and have not recovered value from the data
Two highest value data-types from
drill core for exploration targeting:
• Assay Data
• Structural Data
Critical in poor rock conditions!
Assay QAQC: long well-established in
the exploration industry
Structural Data QAQC: surprisingly
often not considered

5. Orientation QAQC
Quality Concept:
•Bad mark = bad line
•Good mark does not
mean good line!
•Good lock angle
means both marks
and line are good
• This is the only
test!
• Equivalent of a
duplicate sample
assay
• Orientation Mark
• Orientation Line • Lock Angle
3 Elements of Orientation Quality Control
R. Myers, 2016

6. Oriented Structural Data Validation
/ 6
Line
Quality
Interpretation
5 run locks with <10 degree error
4 run locks with 10-20 degree error
3 Neutral- run does not lock with another run not independently validated
1 run locks with angle >20 degrees
0 no line
9 other known problem with line
Create an Orientation Log!
HoleID
Mark
Depth From_m To_m
Mark
Quality
Lock
Angle
Line
Quality Comments
DDH-01 123.36 122.48 123.36 4 30 1
DDH-01 124.00 123.36 124.00 3 330 1 Core loose in shoe
DDH-01 125.53 124.00 125.53 5 3 1
DDH-01 127.05 125.53 127.05 4 5
DDH-01 128.57 127.05 128.57 2 3
DDH-01 129.89 128.57 129.89 0 0 No orientation. Spin at mark

7. Structural Logging Strategy
/ 7
Turnstone Geological Services Limited
• Mindfully create populations of independent feature-classes
→ Sheeted veins, fault zones, veins with like infill/min
• Domain structures within discrete lithologies and/or throughout hole
→ Fabrics- bedding, foliation
• Focus effort towards special zones of interest (target being drilled)
→ Single vein or fault structure of interest/discrete
zones
• Log all elements needed to contribute to building the geologic model
→ Lithologic contacts, lineations (penetrative & non-
penetrative), dikes, etc.
2015, Healy, et.al.

8. Structural Logging Hierarchy Dependent on Deposit Type
/ 8
Prioritize structures that build the geologic
model and control deposit-type mineralization
Porphyry
1.) Veins
2.) Contacts
3.) Faults
SedEx
1.) Bedding (fabric)
2.) Contacts
3.) Faults
Epithermal
1.) Veins
2.) Faults
3.) CF (fabric)
Orogenic
1.) Veins
2.) Faults
3.) Foliation (fabric)
2018 www.earthsci.org

9. Structural Data Capture
Core Solutions
Scott, Berry and
Selley (2005)
Real-time
interpretation
9
Have manual methods for
backup

10. HoleID Depth
m
Structure
Type
Structure
style
Vein
infill
type
Vein
texture
Widt
h mm
Dip Dip
direction
Lithology Line
Quality
(QA)
Assay
From
Assay
To
Assay
Au
DH-01 15.2 Fault slicks 5 82 122 GRD 1 15.0 18.0 0.005
DH-01 21.8 Vein sheeted py vuggy 10 67 240 GRD 4 21.0 24.0 12.86
DH-01 23.2 Vein planar asp mass 245 5 12 GRD 4 21.0 24.0 12.86
DH-01 26.6 Bedding planar 1 31 160 SS 5 24.0 27.0 .025
DH-01 30.4 Vein sheeted qtz vuggy 23 75 238 GRD 3 30.0 33.0 2.45
DH-01 35.6 Bedding planar 1 28 152 SS 5 33.0 36.0 0.07
DH-01 37.8 Bedding planar 1 33 157 SS 3 36.0 39.0 0.07
DH-01 45.9 Fault gouge-bx 1100 76 175 LIM 4 45.0 48.0 0.58
Structural Data Conditioning
/ 10
Create a simple table join of structural point data with from-to data; e.g. assay, QA,
lithology, etc.
• Develop queries using the joined structural database
• Filter-out orientation errors: Use line quality
attribute
Point Structural Data From-To Data
Join

11. Developing Queries & Visualizing Oriented Structural Data
• Identify structural
domains and
controls on
mineralization
Qtz veins- all
from one hole
Same hole
queried by Au
and vein width
Visualize multiple domains at
once- relationships matter!
Primary-
SSW dip
11
Binning fabric by
depth to identify
block rotation
30⁰
<28.8m
>28.8m
2nd
-order
domain
Thematic Poles To Planes Stereonets

12. • Integrate quality control into the workflow- Validation brings
confidence to targeting decisions with structural data- Keep garbage
data out of the model!
• Develop a strategy for structural logging- What will be most useful
data for developing the geologic model, identifying controls on
mineralization and targeting follow-up holes (deposit-type dependent)
• Develop an organized relational structural database- Query-able
classification. Consider the queries you intend to plot, visualize and
model
• Identify structural domains through stereonet analysis- Import
domained structural data into the 3D workspace
Summary
/ 12

13. Questions
FOR MORE INFORMATION
Chris Brown
+1.907.978.3470
cbrown@orientedcore.com
www.orientedcore.com
Oriented Targeting Solutions
Oriented Core - Structural Geology - Geochemistry