You are Home   »   News   »   View Article

University of Texas / Geophysical Insights $5m for AI geoscience education

Wednesday, August 28, 2024

Geophysical Insights Awards The University of Texas at Austin $5 Million in Software Licenses to New AI Technology for Seismic Analysis

Houston, 28 August 2024 -

Geophysical Insights, a leading Houston-based company specializing in AI software for seismic analysis, has generously donated multiple licenses of their Paradise® AI workbench software to the Jackson School of Geosciences at The University of Texas at Austin. This significant contribution, valued at over $5 million, will equip undergraduate students, graduate students, and researchers with the latest machine learning and deep learning technologies in seismic analysis for education and research.

The Paradise AI workbench utilizes cutting-edge machine learning techniques to extract valuable insights from seismic and well data, surpassing the capabilities of traditional seismic interpretation tools. This advanced software applies machine learning algorithms to seismic data, enabling users to uncover otherwise hidden patterns and enhance their research results.

Geophysical Insights offers software licenses to select universities at no cost through their academic program, fostering educational growth and technological advancement. Dr. Michael Young, Associate Dean for Research in the UT Jackson School of Geosciences, emphasized the impact this grant can have on UT's educational mission and ongoing research projects.

"Many of the Jackson School's educational and research initiatives and consortiums will benefit from this donation. Paradise can accelerate automated detection and visualization of seismic faults, stratigraphic analysis, lithofacies prediction, and seismic facies classification,' said Dr. Young.

'We are immensely grateful to Dr. Tom Smith and the Geophysical Insights team for this donation. This technology will advance how our students and investigators conduct research, accelerate the analytical process and enable our students and researchers to explore new applications," he added.

Founded in 2008 by Dr. Tom Smith, Geophysical Insights develops AI software technology that equips geoscientists and engineers with tools to understand and characterize the subsurface faster and in greater detail than traditional seismic analysis software tools. While the Paradise AI workbench can be applied to oil and gas exploration and development, it is equally applicable to analyzing the integrity of candidate Carbon Capture and Storage (CCS) reservoirs and identifying lithologies and seismic faults for mining operations. Since its commercial launch in 2013, Paradise has been adopted by universities, international oil companies, and national oil companies worldwide owing to its ease of use and highly effective results, enabling geoscientists and engineers of varying experience to apply AI applications to diverse geological investigations.

Dr. Smith expressed his enthusiasm for supporting the University of Texas' research endeavors: "We are thrilled to provide this level of support to the pioneering research being conducted at the University of Texas Bureau of Economic Geology, and look forward to the excellent research resulting from our investment in these highly regarded institutions."

The University of Texas at Austin has a long-standing history of excellence in data science and artificial intelligence research. This includes discovering and creating new applications that enhance health, improve quality of life and posively impact society. This donation will significantly advance the university's commitment to knowledge and technology development in these critical fields.



Associated Companies
» Geophysical Insights

CREATE A FREE MEMBERSHIP

To attend our free events, receive our newsletter, and receive the free colour Digital Energy Journal.



DIGITAL ENERGY JOURNAL

Latest Edition May June 2025
Jun 2025

Download latest and back issues

COMPANIES SUPPORTING ONE OR MORE DIGITAL ENERGY JOURNAL EVENTS INCLUDE

Learn more about supporting Digital Energy Journal