Attribute-Assisted Seismic Processing & Interpretation

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.

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).

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:

Elucidating Quaternary High-frequency Depositional Sequences and Incised Valley Evolution Using High-resolution 3D Seismic Data: Gulf of Mexico, USA

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:

Application of seismic attributes and unsupervised machine learning methods for identification of hidden faults in basement and carbonate rocks

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:

Optimization of deepwater channel seismic reservoir characterization using seismic attributes and machine learning

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.