computer aided interpretation of geophysical logs: development of a 3-d lithologic model for uranium...

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Computer Aided Interpretation of Geophysical Logs: Development of a 3-D Lithologic Model for Uranium Roll-Front Deposits U2009 Global Uranium Symposium May 11 th , 2009 Keystone, Colorado Presented by: Shawn Leppert Leppert Associates Mike Hawks WildHorse Energy, Inc. Mike Williams Leppert Associates Robert Clark AATA International, Inc.

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Computer Aided Interpretation of Geophysical Logs: Development of a 3-D Lithologic Model

for Uranium Roll-Front Deposits

U2009 Global Uranium Symposium

May 11th, 2009Keystone, Colorado

Presented by:

Shawn Leppert Leppert Associates

Mike Hawks WildHorse Energy, Inc.

Mike Williams Leppert Associates

Robert ClarkAATA International, Inc.

What About U?Geophysics to Hydrostratigraphy

In the Current U.S Regulatory Environment - To Obtain a Permit for the Development of a Uranium In-Situ Recovery (ISR) Mine - Groundwater Flow must be Thoroughly Understood.

In the Current U.S Economic Environment - Mine Operations must be Optimized to Maximize the Mass of Uranium Ore Recovered with Respect to the Energy and Expense Required to Achieve that Recovery (Lixiviant Delivery and Fluid Recovery).

One Approach to Meeting these Two Requirements is to Develop a Detailed Hydrogeologic Conceptual Model to Assist in the Decision Making Process.

Many Uranium Roll-Front Ore Bodies are Found in Relatively Complex Hydrogeologic Environments

Cost of Hydrologic Characterization in Complex Subsurface Environment can be Expensive.

A Means for Reducing Those Costs is to Extract as Much Information as Possible from Existing Data - One Source of Data are Historical Geophysical Logs.

What About U?

Reports/Permits

Geochemistry

Hydrology

Geology

Quantitative Model

Geochemical Table (Static)

Well Construction Tables (static)

GW Quality Tables (dynamic)

Hydrostratigraphy Tables (static)

Hydrologic Tables (dynamic)

Event Tables (dynamic)

Electronic Database

Hydraulic Property Estimation

LS5011M

LS5012M

LS5013M

1

0.5

0.1

0.05

0.01

0.005

0.001

0.0005

0.0001

Legend

Lost SoldierArea of Interest

Drawn by: MAW02/23/07PotSurf.lpk

N

Final LineSteady State

Well

Fraction ofInjection Material

Lixiviant Delivery & Recovery System Design

System Performance Monitoring

Quantitative Hydrogeologic Decision Framework

Data Evaluation Decision

Pilot Tests & Additional Characterization

ReclamationGeophysical

What About U?Geology to Hydrostratigraphy

Targeted Uranium Deposits are Located in Fremont County, Wyoming

Preeminent Geologic Conceptual Model for the Area Developed by the USGS

Geologic Map and Sections Showing Areal Distribution of Tertiary Rocks Near the Southeastern Terminus of the Wind River Range, Fremont and Sweetwater Counties, Wyoming (N.M. Denson and G.N. Pipiringos. 1974)

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Claim Site

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Arikaree Formation (Ta; Lower Miocene)

Bridger Formation (Tbr; Upper Eocene)

Green River Formation – Both Upper & Lower Laney Members (Tgul, Tgll; Lower Eocene)

Battle Springs Formation (Tbr; Lower Eocene)

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Geologic Structure May be a Very Important Control on the Movement of Groundwater

Structure Contours for Arikaree Formation

Horse Track Anticline

Numerous Normal Faults

DU

DU

DUU

D

DUD

U

Horse Track Anticline

Flattop Fault

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Geologic Structure May be a Very Important Control on the Movement of Groundwater

Define the Groundwater Basin Which the Targeted ISL Mine Would be Located

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Geologic Structure May be a Very Important Control on the Movement of Groundwater

Define the Groundwater Basin Which the Targeted ISL Mine Would be Located

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Geologic Structure May be a Very Important Control on the Movement of Groundwater

Define the Groundwater Basin Which the Targeted ISL Mine Would be Located

What About U?Geology to Hydrostratigraphy

Targeted Uranium Claim Site

Primary Groundwater-Bearing Units of Interest:

Geologic Structure May be a Very Important Control on the Movement of Groundwater

Define the Groundwater Basin Which the Targeted ISL Mine Would be Located

What About U?Geophysical Data - Hydrostratigraphy

Geophysical Data are Routinely Collected for Uranium Exploration Borings

4 Common Historical Types of Data Acquired

Often there are Significant Quantities of Historical Data as Well as New Exploration Data Uranium Exploration in 1950’s, 1960’s and 1970’s

Single Point Resistance Logs **

Gamma Logs *

SP Logs

Neutron Logs

Single Point Resistance Logs have Potential for Delineating Relative Lithology

Measures the Electical Resistance Between an Electrode Placed at the Surface and a one placed within a Boring

What About U?Geophysical Data - Hydrostratigraphy

Data Calibration InterpretationSignal Analysis Tool

Digitized Geophysical

Logs

Major Geologic Unit Picks

Boring Locations Develop a Signal Analysis Tool which has both Flexibility and Calibration Capabilities

Evaluate Uncertainties and Limitations of Site Data

Calibrate the Signal Analysis by Leveraging Experienced Geologists Interpretation

Signal Analysis

Reproduces Geologist’s

Interpretation

Develop Local Hydrostratigraphy Model from Signal Analysis and Perform Additional Checks

Adjustments Required

All Information has been Extracted from Data for the Hydrostratigraphic Model

What About U?Geophysical Data

Geophysical DataBoring Data

• Nearly 1000 Borings

• Surveyed Coordinates

• Surveyed Ground Surface Elevation

• Geophysical Logging Data

• Data Compiled into a Relational Database.

What About U?Geophysical Data

Geophysical Datao Boring Data

Digitize Logs

• Digitize to 2.0 foot Precision - Capture Peaks and Troughs

• Scaled

• Data Compiled into a Relational Database

What About U?Geophysical Data

Geophysical Datao Boring Data

Geologic Units

o Digitize Logs

• Geologist Evaluated each Available Geophysical Log and Picked the Likely Geologic Unit Contacts

• Geologic Unit Picks were Integrated into the Groundwater Basin Scale Hydrostratigraphic Conceptual Model

• Data Compiled into a Relational Database

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

Smooth Noise

• For each point, pick the N points on either side value to be average of all 2N+1 points

• Depends on Calibration

• Repeat Smoothing Algorithm as Appropriate

• Signals Can be Quite Noisy

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

Filter Drift

• Ignore Peaks and Troughs

• Adjust Smoothed Signal Based on Regression

• Wireline Tool Signal can Drift as it is getting Lowered in the Boring

• Linear Regression Analysis

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

Peaks/Troughs

o Filter Drift

• Slope of the Signal

• Use a Five Point Estimate of the First Derivative

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

Trivial Peaks

• Depends on Calibration with Geologist Picks

• If a Signal Peak is Relatively Small Eliminate from Consideration

Minor Peaks can be Removed

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

Group Peaks

• Group Peaks from the Same Signal Response

Group Peaks from the Same

Signal Response

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

Peak Width

o Group Peaks

• Slope of the Slope of the Signal

• Use a Five Point Estimate of the Second Derivative

• Geologist Picks are not this Mechanical

What About U?Signal Analysis Tool Development

Geophysical Data

Signal Analysis Tool Development

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

o Peak Width

o Group Peaks

Peak Magnitude

• Claystone/Siltstone

• Correlate Peak Magnitude with Lithologic Material

• Silty Sandstone

• Sandstone

Silty Sandstone

Sandstone

Claystone

What About U?Signal Analysis Calibration

Geophysical Data

Signal Analysis Tool Development

Calibration

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

o Peak Width

o Group Peaks

o Peak Magnitude

Geologist Picks• Experienced

Geologists Examined 18 Diagnostic logs and Made Picks

• Used for Calibration

What About U?Signal Analysis Calibration

Geophysical Data

Signal Analysis Tool Development

Calibration

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

o Peak Width

o Group Peaks

o Peak Magnitude

Geologist Picks• Experienced

Geologists Examined 18 Diagnostic logs and Made Picks

• Used for Calibration

What About U?Geophysical Data - Hydrostratigraphy

Geophysical Data

Signal Analysis Tool Development

Calibration

Results

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

o Peak Width

o Group Peaks

o Peak Magnitude

o Geologist Pics

Lithology within Boring

What About U?Geophysical Data - Hydrostratigraphy

Geophysical Data

Signal Analysis Tool Development

Calibration

Results

o Boring Data

o Geologic Units

o Digitize Logs

o Smooth Noise

o Peaks/Troughs

o Filter Drift

o Trivial Peaks

o Peak Width

o Group Peaks

o Peak Magnitude

o Geologist Pics

What About U?Conclusions

There can be a Wealth of Valuable Hydrogeologic Information Buried in Historical Geophysical Logs.

Using Relatively Simple Signal Analysis Techniques, this Information can be Cost-Effectively Extracted.

These Data can be Incorporated into a Hydrogeologic Model to Enhance our Understanding of the Hydrology within an Mine Site and Assist in Effective ISR of Uranium Ore.

What About U?End