Title

Analyzing Water Quality of Produced Water in Kern County through Geochemical Modeling and GIS Mapping

Poster Number

05B

Lead Author Major

Civil Engineering

Lead Author Status

Junior

Format

Poster Presentation

Faculty Mentor Name

Mary Kay Camarillo

Faculty Mentor Email

mcamarillo@pacific.edu

Faculty Mentor Department

Civil Engineering

Additional Faculty Mentor Name

Daniel Jontof-Hutter

Additional Faculty Mentor Email

djontofhutter@pacific.edu

Additional Faculty Mentor Department

Physics

Abstract/Artist Statement

Produced water is a significant environmental problem in the realm of wastewater management; its high mineral content poses challenges for treatment. Chemical speciation modeling can assist in developing appropriate treatment strategies. The goal of this research project was to devise a method to analyze the water quality of produced water in Kern County, California, which contains a major oil and gas producing region, as well as a productive agricultural industry. PHREEQC was used to estimate precipitation potential of produced water originating from eight oil wells in Kern County, California, which were chosen for high alkalinity, iron, calcium, or sulfate content. A dataset containing data on the constituents of produced water samples was obtained from a state agency. Open source software QGIS was used to map the wells and analyze the ion concentration and depth data geographically. One of the major accomplishments of the project was creating a python script, which manages a dataset of produced water constituents and creates 18 input files to automate PHREEQC geochemical modeling. The demonstration of the automated input files is pending based on the availability of a computer cluster within the School of Engineering and Computer Science.

Location

DeRosa University Center Ballroom

Start Date

27-4-2018 12:30 PM

End Date

27-4-2018 2:30 PM

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Apr 27th, 12:30 PM Apr 27th, 2:30 PM

Analyzing Water Quality of Produced Water in Kern County through Geochemical Modeling and GIS Mapping

DeRosa University Center Ballroom

Produced water is a significant environmental problem in the realm of wastewater management; its high mineral content poses challenges for treatment. Chemical speciation modeling can assist in developing appropriate treatment strategies. The goal of this research project was to devise a method to analyze the water quality of produced water in Kern County, California, which contains a major oil and gas producing region, as well as a productive agricultural industry. PHREEQC was used to estimate precipitation potential of produced water originating from eight oil wells in Kern County, California, which were chosen for high alkalinity, iron, calcium, or sulfate content. A dataset containing data on the constituents of produced water samples was obtained from a state agency. Open source software QGIS was used to map the wells and analyze the ion concentration and depth data geographically. One of the major accomplishments of the project was creating a python script, which manages a dataset of produced water constituents and creates 18 input files to automate PHREEQC geochemical modeling. The demonstration of the automated input files is pending based on the availability of a computer cluster within the School of Engineering and Computer Science.