1. DEVELOPMENT OF A GIS BASED TOOL TO
OPTIMIZE PRODUCED WATER
TREATMENT
Ashwin Dhanasekar, Dr. Ken Carlson
Dept. of Civil & Environmental Engineering
Colorado State University, Fort Collins, CO
2. INTRODUCTION
• Hydraulic Fracturing
• Produced Water
• Current Scenario
• Colorado Energy Water Consortium
• GIS Tool
• Chemistry Tool
• GIS Based Treatment Application
7. COLORADO ENERGY WATER CONSORTIUM
ENVIRONMENTA
LOCAL GOV’T
L
Weld County
The Nature
Commissioner
Conservancy
INDUSTRY CONSULTING
Noble Energy ENGINEERING
CH2M Hill
REGIONAL
GOV’T COLORADO
Western WATER
Governor’s INSTITUTE
Assoc. Director
AGRICULTURE ACADEMIC
Former Ag Colorado State
Commissioner University
8. DATA COLLECTION
• State Databases
Public Data • Public Websites
• Industry – Noble Energy
Private Data • Other Industries
• Government Agencies
Common Data • Colorado Oil & Gas Association
9. QUANTITY ANALYSIS & PREDICTION
• Drilling • Completion
Water Water
Dates Drilled Recompletion
Period and Production
Volume of Period &
Flowback Volume
• Frac • Produced
Flowback Water
10. QUALITY ANALYSIS & TREATMENT MODEL
Water Quality
Quality Test
Data Unavailability
Chemistry Model
Sampling Certified Labs
Initial Water Based on Initial WQ
Quality Prelim Treatment
Prediction
Monitoring
characteristics
through stages
11. PRIMARY GIS MODEL – QUANTITY BASED
Data Collection & Analysis
Prediction Scenarios Developing & Processing
Publishing on ArcGIS Explorer Online for
Public Viewing
12. INTEGRATION OF CHEMISTRY MODEL & GIS TOOL
GIS Tool - ArcGIS
Co-ordinates
Production
Data
Map Service Developmen Using
Database ArcGIS Publish Developing
Water Data Developmen t of Web Services as
File Geodatabase Service Web Map
t Application Layers
Developmen
t of Link –
Final GIS Based
Chemistry
Application with Custom
Calculator &
Water Tools for Water Quality
GIS Map
Quality Data Processing Analysis
into
Chemistry
Water Calculator
Quantity Output Excel
Data File
Measured
pH
Measured
Alkalinity
Chemistry Tool - CalcAq
Charge
Balance &
Equilibrium Reconcile Reconcile Softening to Neutralize to Recover
Model Composition
Calculations pH Alkalinity a Set pH a Set pH Water - RO
Predicted Solids, TDS, pH, Reagents Reagents Osmotic
Alkalinity, Conductivity, Density Required Required Pressure
Compare to Solids Water
Measured Removed Recovery
& Residue
Chemistry Output
14. ADVANTAGES
Spatial Analysis
Area Specific Predictions of Optimized
Production & Treatment Analytics
Optimized Routing &
Optimized Location
Reduced Truck Public Awareness
of Treatment Facility
Traffic
16. ACKNOWLEDGEMENTS
• Department of Civil & Environmental Engineering, Colorado State University
• Dr Ken Carlson (kcarlson@engr.colostate.edu) Associate Professor, CSU
• Noble Energy Incorporation – Mr. Caleb Douglas & Dr Ken Knox
• Dr. James Hardy, ChemCorr LLC (OLI Systems, CalcAq)
• ESRI Regional Office & The Southwest User Group, Broomfield, CO
More information:
http://cewc.colostate.edu/
ashwin.dhanasekar@colostate.edu