Contact Information

  • Sara Hanson-Hedgecock
    (716) 510-9565

Description

I am a geophysicist and data scientist with more than 7 years experience in the oil and gas industry, with the geophysics domain, and more than 10 years experience in seismology. I have experience in statistics, data analysis, and play to prospect workflows applied to quantitative play assessment and uncertainty analysis. I have also writen scripts for seismological data analysis, pattern recognition and data fusion algorithms in for improved analysis, integration and interpretation of a range of geologic and geophysical data, acquiring a patent for the pattern recognition work. 

I am an expert in microseismic processing for geothermal, induced and hydraulic fracture monitoring having worked for the last 6 years at Schlumberger in the microseismic processing segment. There I acquired a extensive experience in microseismic services (real time borehole/surface microseismic processing, passive downhole and surface microseismic processing, moment tensor inversion).

Location

Houston

Experience

Microseismic Geophysicist, Schlumberger, SIS Data Services, 4/2014 – Current
• Senior microseismic processor with for induced seismic event location and determining fault solutions, used in generating discrete fracture models, for multiple projects in North America, Middle East, Europe and South America. Wrote and presented geophysical and interpretation reports to clients for each project.
• Built Python scripts and Petrel workflows to improve processing efficiency.
• Developed training for clients in microseismic processing and geophysical interpretation.
• Coordinated and helped build traffic-light systems (TLS) and answer products for induced seismic monitoring campaigns.
• Short Course Co-Instructor, Microseismic Monitoring Fundamentals, AAPG Student Expo, 2019, Houston, TX, USA
Seismic Pattern Recognition, Intern, ExxonMobil, Upstream Research Company, 5/2013 – 11/2013
• Delivered an automatic seismic stratigraphic toolkit that correctly identified 70-80% of stratigraphic features of interest from seismic images and calculated seismic attribute data, using Petrel workflows and Matlab functions.
• Documented the toolkit in a technical report and instruction manual and presented the results to management.
4D Velocity Structure and Event Location, Research Assistant, UNC-Chapel Hill, 9/2009 – 5/2013
• Wrote Matlab functions for monitoring 4D velocity structure, site response and earthquake source location to track conduit fracturing, migration of fluids, pressure changes and hazards over time at Tungurahua Volcano, Ecuador, using ambient noise.

Ambient Noise-Surface Wave Tomography, Research Assistant, UNC-Chapel Hill, 9/2009-4/2012
• Developed Perl scripts and C++ code to calculate crustal surface and S wave velocity models that helped to identify the source of volcanism in the High Lava Plains, OR.
Stratigraphic Pattern Recognition, Research Assistant, University at Buffalo, 9/2005-6/2009
• Developed 7 new Matlab functions for a lithostratigraphic and geochemical correlation as part of a volcanic eruption interpretation toolbox
• Improved classification algorithms resulted in a 78% better identification of stratigraphic sequences and identification of 2 additional eruption sources.
Refraction Tomography, Research Assistant, Rice University, Dept. of Earth Science, 1/2003-8/2003
• Identified the optimal parameters for a finite difference tomographic model from a synthetic wide angle refraction seismic dataset

Awards and Certifications

Patents
• L. A. Wahrmund, Antonio R. C. Paiva, and S. Hanson-Hedgecock, “Seismic stratigraphic surface classification,” memo submitted on 2013, October 31, Patent Application, US filed 29 Jan. 2016, Granted on 18 April 2019, US 10139507B2

Awards
2014, Best Geophysics poster, AAPG/SEG Spring Break Expo
2011,2010, Best Student Poster Presentation, Anadarko Research Symposium,
2009-2013, Royster Society, Five-year Fellowship, University of North Carolina, Chapel Hill

Certificates
Schlumberger certificates in Petrel velocity, fracture and property modeling, play-to prospect.

Skills

-Python, Matlab, C++, R, Petrel, RokDoc, C/C++, Perl, UNIX, C-shell/BASH scripting, Fortran77, Omega, Windows
-Public speaking and client relations
-Quantitative workflow development
-Petrel velocity, fracture and property modeling, play-to prospect
-Data Science
-Microseismics, Geothermal
-Spanish (intermediate)

Education

Ph.D in Geological Sciences (Seismology), University of North Carolina at Chapel Hill
M.S. in Geology, State University of New York at Buffalo
B.S. in Geophysics, Rice University
Spanish, intermediate level