Geological Data Management(Nailing Jelly To A Tree)

Jim Reed

Director of Research & Development

RockWare Incorporated

Golden, Colorado

Outline

• Conference Overview• Refining The Topic• Design Philosophy & Considerations• Examples of Downhole Data• A Simplified Borehole Data Model• A Complex Borehole Data Model

Outline

•• Conference OverviewConference Overview• Refining The Topic• Design Philosophy & Considerations• Examples of Downhole Data• A Simplified Borehole Data Model• A Complex Borehole Data Model

Conference Topics

DataCollection

DataManagement

Data Analysis&

Visualization

DataPresentation

(Web)

Conference Topics

DataCollection

DataManagement

DataAnalysis

&Visualization

DataPresentation

(Web)

Jim Reed, RockWare Inc.: Overview of Geologic Data Management - Nailing Jelly to a Tree

Dat

a C

olle

ctio

n

Dat

a M

anag

emen

t

Dat

a An

alys

is &

Vis

ualiz

atio

n

Dat

a Pr

esen

tatio

n (W

eb)

Geoff Delin, US Geological Survey: Real-Time Water Level and Stream Flow Data Acquisition

John Dustman, Summit EnviroSolutions Inc.: Management and Analysis of Groundwater Data

David Odd, Campbell Scientific: Wireless and PDA Telemetry for Remote Data Collection

Melinda Erickson, University of Minnesota: Beyond the Minimum: Purposefully Designing (orRedesigning) Ground Water Sampling Schemes

Brian Johnson, MN Department of Health: Minnesota's County Well Index: current status andfuture plans

Jim Reed, RockWare Inc.: Three-Dimensional Visualization of Geologic Data - Eye Candy orScientific Tool?

Harvey Thorleifson , MN Geological Survey: Implementation of 3D Geologic Mapping

Rich Soule, MN Department of Health: Arsenic Data Presentation and Analysis

Robert Tipping, MN Geological Survey: Bringing the data together: improved characterization ofthe Prairie du Chien Group

Tina Pint, Barr Engineering: Incorporating Public Databases into the development of distributedparameter ground water models

Laurel Reeves, MN Department of Natural Resources: Online Data Retrieval and GIS Data Deli

MGWA Fall 2004 ConferenceManagement and Analysis of Ground Water DataNovember 16, 2004, 8 am - 4:30 pmContinuing Education and Conference CenterUniversity of Minnesota, St Paul

Outline

• Conference Overview•• Refining The TopicRefining The Topic• Design Philosophy & Considerations• Examples of Downhole Data• A Simplified Borehole Data Model• A Complex Borehole Data Model

Refining The Topic

GeologicalData

RemoteData

SubsurfaceData

SurfaceData

DownholeData

OtherSubsurface

Data

Outline

• Conference Overview• Refining The Topic•• Design Philosophy & Design Philosophy &

ConsiderationsConsiderations• Examples of Downhole Data• A Simplified Borehole Data Model• A Complex Borehole Data Model

Primary Design Considerations

Ease-of-Use

FlexibilitySpeed

Ease of Use

The Ultimately Easy-to-Use Product

(Does nothing - Nothing to learn)

The Excel (Flat File) Corner

Initial Phase

Typical Scenario

The Excel (Flat File) Corner

The “HEY-THIS-IS-COOL” Phase

Typical Scenario(Continued)

The Excel (Flat File) Corner

The “UH-OH” Phase

Typical Scenario(Continued)

The Excel (Flat File) Corner

The “Wander-Around-The-Office-Asking-For-Help” Phase

Typical Scenario(Continued)

Flexibility

The Ultimately Flexible Program

(Low-Level Language Compiler)

Flexibility is Inversely Proportional to Ease-of-Use

Feature Creep

Version 1.0

Feature Creep

Version 2.0

(Continued)

Feature Creep(Continued)

Version “N”

Feature Creep(Continued)

Feature Creep(Continued)

Speed

Finding The Right Balance

There are more than just three considerations ..

Ease-of-Use

FlexibilitySpeed

Flexibility /

Extensibility

Ease of U

se

Speed

Ease

of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Using Spider Diagrams To Compare & Design Data Management Systems

Flexibility /

Extensibility

Ease of U

se

SpeedEa

se of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Microsoft Excel

Using Spider Diagrams To Compare & Design Data Management Systems

Microsoft AccessFlexibility /

Extensibility

Ease of U

se

SpeedEa

se of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Using Spider Diagrams To Compare & Design Data Management Systems

Flexibility /

Extensibility

Ease of U

se

SpeedEa

se of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Vertical Commercial Product

Using Spider Diagrams To Compare & Design Data Management Systems

Flexibility /

Extensibility

Ease of U

se

Speed

Ease

of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Flexibility /

Extensibility

Ease of U

se

Speed

Ease

of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Vertical Commercial Product

Flexibility /

Extensibility

Ease of U

se

Speed

Ease

of

Prog

ramming

Connectivity

PortabilityCost

Rel

i abi

li ty

/In

teg r

i ty

Capability

Microsoft Excel

Microsoft Access

WISDOM:Knowing when to stop before you start.

Outline

• Conference Overview• Refining The Topic• Design Philosophy & Considerations•• Examples of Downhole DataExamples of Downhole Data• A Simplified Borehole Data Model• A Complex Borehole Data Model

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Location

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Orientation

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Lithology(Interval-based, laterally discontinuous,

qualitative data.)

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Stratigraphy(Interval-based, laterally contiguous,

qualitative data.)

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Quantitative Interval-Based Data

• Geochemical• Geotechnical

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Quantitative Point-Based Data• Geophysics• Point-Based Geochemistry• Point-Based Geotechnical

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Directional Data

Fracture Planes

Flow Vectors

Examples of Downhole Data• Location• Orientation• Lithology• Stratigraphy• Interval Data• Point Data• Directional Data• Imagery

Downhole Imagery

Outline

• Conference Overview• Refining The Topic• Design Philosophy & Considerations• Examples of Downhole Data•• A Simplified Borehole Data ModelA Simplified Borehole Data Model•• A Complex Borehole Data ModelA Complex Borehole Data Model

A Simplified Borehole Data Model(Tables)

A Simplified Borehole Data Model(Fields)

A Simplified Borehole Data Model(Calculated Fields)

Outline

• Conference Overview• Refining The Topic• Design Philosophy & Considerations• Examples of Downhole Data•• A Simplified Borehole Data ModelA Simplified Borehole Data Model•• A Complex Borehole Data ModelA Complex Borehole Data Model

A Complex Borehole Data Model

Depth -> XYZComputer

OrientationBorehole IDDepthAzimuthInclination

Point DataBorehole IDDepthPointTypeMagnitudeDateComments

X,Y,Z

PointTypesIndexNameMinimumMaximumUnits

IntervalTypesIndexNameMinimumMaximumUnits

Interval DataBorehole IDDepth-1

IntervalTypeMagnitudeDateComments

X1,Y1,Z1

Depth-2

X2,Y2,Z2

LithoTypesIndexNameBackgroundForegroundPatternNumPatternSizePatternThickFill PercentDensity

StrataTypesIndexNameBackgroundForegroundPatternNumPatternSizePatternThickFill PercentDensity

LithologyBorehole IDDepth-1

LithoTypeComments

X1,Y1,Z1

Depth-2

X2,Y2,Z2

StratigraphyBorehole IDDepth-1

StrataTypeComments

X1,Y1,Z1

Depth-2

X2,Y2,Z2

AquifersBorehole IDDepth-1

CommentsX1,Y1,Z1

Depth-2

X2,Y2,Z2

Date/Time

VectorsBorehole IDDepth

CommentsX,Y,Z

AzimuthInclinationMagnitude

HydroStrat-Types

IndexNameBackgroundForegroundPatternNumPatternSizePatternThickFill PercentDensity

Hydro-StratigraphyBorehole IDDepth-1

HydroStrat-TypeComments

X1,Y1,Z1

Depth-2

X2,Y2,Z2

SymbolLibrary

IndexSegments

X2

X1Y1

Y2PatternLibrary

IndexSegments

X2

X1Y1

Y2

LocationsBorehole IDEastingNorthingElevationTotal Depth

Etc...

Symbol

Symbol ColorSymbol Thick.

PatternsBorehole IDDepth-1

CaptionX1,Y1,Z1

Depth-2

X2,Y2,Z2

PatternNumForegroundBackground

PatternThickPatternSize

SymbolsBorehole IDDepth

CaptionX,Y,Z

SymbolNumColor

FracturesBorehole IDDepth

CommentsX,Y,Z

AzimuthInclinationRadiusApertureColor

BitmapLibrary

BitmapsBorehole IDDepth-1

X1,Y1,Z1

Depth-2

X2,Y2,Z2

File NameFooter TopHeader Base

A Complex Borehole Data Model(The Interface)

The End