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Borehole Data Wrangling for Stratigraphic Interpretation and 3-Dimensional Visualization Casey Albritton, Seth Bassett, Jim Cichon, and Scott Miller Gather data from mulple sources; format tables the same Merge mulple feature classes with matching fields into one feature class for a total of 6808 wells with formaon picks Create relaonship classes to link data sources to provide a digital “bread-crumb trail” to original data Convert ArcMap feature class to QGIS format using Python Toolbox: Melt, Upload, and Calculate used sequenally to translate FGS well picks from wide to long format and upload to Post GIS Set up data in QGIS for model run: link QGIS to QGgis2threejs plugin, add in formaon layers, symbolize the dierent units, and add DEM layer to use as land surface. Zoom to an area of interest and run plugin Qgis2threejs The mission of the Florida Geological Survey (FGS), established in 1907, is to collect, interpret, and provide objective quality geologic information about Florida. Statewide borehole data are essential in accurately describing, visualizing, and characterizing the subsurface formations that comprise Florida’s geology. Here, we highlight one of the many ways in which FGS has taken these data, which have been collected throughout many years of study, and compiled the formation picks into one ArcGIS feature class. Having these data consolidated for the first time statewide into one easily viewable feature class means that they can be used in a variety of ways to answer questions about the accuracy of the data, well-sample location, and stratigraphic relationships. The data are then translated into a form that Quantum GIS (QGIS) can understand, enabling for the first time a statewide 3D rendering of Florida’s borehole data. STATEMAP Bulletin 68 FGS lithlogs FAVA Water Management Districts Melt: Input feature class, select ID columns (Well Number), select Melt columns (Formations) Upload: Use Melt output file for Upload input. Designate spatial reference, database name, and name of created table Calculate: Use table name created in Upload step and designate borehole radius and bottom unit height Result: Updated well data table from ArcMap to QGIS Intr oducon Interactive, clickable 3D model of Florida statewide borehole data. Screenshot of QGIS workspace Presented at Digital Mapping Techniques 2016 The contents of this document are provisional http://ngmdb.usgs.gov/info/dmt

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Page 1: 6t t Borehole Data Wrangling for Stratigraphic ... · accurately describing, visualizing, and characterizing the subsurface formations that comprise Florida’s geology. Here, we

Borehole Data Wrangling for Stratigraphic Interpretation and 3-Dimensional Visualization

Casey Albritton, Seth Bassett, Jim Cichon, and Scott Miller

Gather data from multiple sources; format tables the same

Merge multiple feature classes with matching fields into one feature class for a total of 6808 wells with formation picks

Create relationship classes to link data sources to provide a digital “bread-crumb trail” to original data

Convert ArcMap feature class to QGIS format using Python Toolbox: Melt, Upload, and Calculate used sequentially to translate FGS well

picks from wide to long format and upload to Post GISSet up data in QGIS for model run: link QGIS to QGgis2threejs plugin, add in formation layers, symbolize the different units, and

add DEM layer to use as land surface. Zoom to an area of interest and run plugin Qgis2threejs

The mission of the Florida GeologicalSurvey (FGS), established in 1907, is tocollect, interpret, and provide objectivequality geologic information about Florida.Statewide borehole data are essential inaccurately describing, visualizing, andcharacterizing the subsurface formationsthat comprise Florida’s geology. Here, wehighlight one of the many ways in whichFGS has taken these data, which have beencollected throughout many years of study,and compiled the formation picks into oneArcGIS feature class. Having these dataconsolidated for the first time statewideinto one easily viewable feature classmeans that they can be used in a variety ofways to answer questions about theaccuracy of the data, well-sample location,and stratigraphic relationships. The dataare then translated into a form thatQuantum GIS (QGIS) can understand,enabling for the first time a statewide 3Drendering of Florida’s borehole data.

STATEMAP Bulletin 68

FGS lithlogsFAVA

Water Management Districts

Melt: Input feature class,

select ID columns (Well Number),

select Melt columns

(Formations)

Upload: Use Melt output file for Upload input.

Designate spatial reference, database name, and name of

created table

Calculate: Use table name created in Upload step and designate borehole radius and bottom

unit height

Result: Updated well data table

from ArcMap to QGIS

Introduction

Interactive, clickable 3D model of Florida statewide borehole data.

Screenshot of QGIS workspace

Presented at

Digital M

apping Tech

niques 2016

The contents o

f this d

ocument a

re provisional

http://n

gmdb.usgs.g

ov/info/dmt