Attribute-Assisted Seismic Processing & Interpretation
January 29-30, 2026
Univeristy of Oklahoma campus
Hy Tran (MS)
Dr. Marcus Maas (PhD)
As the AASPI students scatter to all corners of the globe for internships and to visit family, we wrapped up another wonderful academic year!
The AASPI group has continued to grow - with the addition of several new AASPI developers. Well log capabilties are on the near horizon, with the new AASPI help chatbot to be making a debut soon.
AASPI's mid-year 2024 software update has been released. Details of the release and current plans, as well as IMAGE 2024 presentations are in our note to sponors (pdf).
Congratualtions to Marcus Maas for his very successful defense on his amazing PhD work entitled Application of Post-Stack Seismic Attributes, Well Dynamic Data, and Machine Learning for Carbonate Reservoir Facies and Productivity Prediction for Upstream Optimization
Congratualtions to Evan Jowers for his very successful defense on his MS work entitled Application of 4D Seismic Attributes to Monitor Reservoir Fluid Movement and Production Discrepancies: Maui Field, Taranaki Basin, New Zealand!
PhD student April Ward-Moreno showcased some of their work as part of a multi-disciplinary team to assess, evaluate, and plan for improved measurement and detection of methane sources in Oklahoma.
Congratualtions to Hy Tran for his very successful defense on his MS work entitled It Is Not Our Fault Yet: Multi-Attribute and Machine Learning Study for Improved Upper Basement Fault Detection in an Area of Carbon Capture Utilization and Storage: Decatur, Illinois, USA
If you haven't subscribed yet - head over to our AASPI YouTube Channel! In addition to research presentations, we cover best practices, as well as quick overviews of our published research (see the TLDR playlist), and quick overviews of seismic attributes!
AASPI is thrilled to welcome SIX new graduate students and two new visiting scholars! Our new RAs will be focusing on well log capabilties, synthetic seismic volumes for attribute and ML testing, as well as beginning work on our web application version of AASPI!
Congratualtions to Alex Vera (PhD), Jacob Maag (MS), and Pamela Blanco Dufau (MS)! Now go do great things!!!
AASPI PI Dr. Heather Bedle was awarded the very selective honor of a Univeristy of Oklahoma Presidential Professorship for her dedication to mentoring and research.
Congrats to Alexandro Vera Arroyo for defending his PhD work on:
Evaluation of machine learning algorithm accuracy in energy exploration using physics derived synthetic models
Congrats to Jacob Maag for defending his MS:
Congratualtions to both April Ward-Moreno and Pamelo Blanco Dufau for winning awards at Student Research Day for their poster presentations!
Congrats to Pameloa Blanco Dufau for her work on:
Post-migration seismic data conditioning methods on a merged dataset
Congrats to Diana Salazar for defending her MS:
Over a dozen sponsors, potential sponsors, and research institutes joined us for our first in-person annual meeting in four years in January 2023! Thanks for joining & see you at IMAGE!
Congrats to Karelia La Marca for defending her PhD work on:
April Moreno Ward (PhD) and Hy Tran (MS) have joined up with AASPI to delve into the world of machine learning and seismic attributes.
Congrats to Dr. Marfurt for this great honor!
Hosting sessions, giving talks, and presenting posters... most AASPI students presented their latest research at AAPG Midcon in October 2023.
