For Immediate Release Media
Geophysical Insights Launches Paradise 3.2, adding Geobody Identification Through Machine Learning and Attribute Generation using High-Performance Computing
Houston, 2 August 2018 — Geophysical Insights announces the launch of Paradise 3.2, which includes the isolation of geobodies through machine learning, and the generation of attributes on a LINUX High-Performance Computing (HPC) facility. Paradise is a multi-attribute seismic analysis workbench that uses machine learning to extract more information from both seismic and well data. The new geobody analysis ThoughtFlow™ in Paradise derives geobodies from the Self-Organizing Map (SOM) machine learning process. This new technology in Paradise is the first instance in the industry to generate geobodies automatically using machine-learning classification results. The new geobody capability allows interpreters to isolate areas of interest based on a common neuron or set of neurons. Upon generation, interpreters can edit – prune or fill – geobodies at the individual seismic sample level. Given velocities alone, the geobody analysis tool will estimate volumetrics. Geobodies can also be filtered for size and neural classes. Along with geobodies, the newest version of Paradise enables companies that have an HPC cluster to generate AASPI geometric and spectral decomposition attributes in a fraction of the time it would take on even a large, multi-core server. The HPC capability also supports both SLURM and LSF Scheduler formats to ensure that resources are managed effectively. Paradise 3.2 offers other performance improvements, including faster SEGY data loading and a connector to Petrel 2017. “The goal of both these new tools, and of Paradise itself, is to increase the efficiency of the interpreter and leverage machine learning technology states Dr. Tom Smith, President/CEO of Geophysical Insights. “The ability to automatically generate geobodies using machine learning takes the industry to a new level of interpretation. And, including HPC capabilities in Paradise was a logical extension of the Paradise platform due to the increasing use of geometric and spectral decomposition attributes in large seismic volumes. Our goal is to enable every interpreter to leverage machine learning technology in ways that will provide more time for analysis and focus on what’s important – finding oil and gas. We are delighted to offer a dramatic new Paradise version that applies new machine learning processes and reduces the time to results.” About Geophysical Insights Geophysical Insights was founded in 2008 by Dr. Tom Smith with the vision of applying machine learning methods to geologic interpretation to reduce the risk of exploration and the cost of field development. The mission of the business is to develop the next generation of interpretation tools in an intuitive interface that uses guided ThoughtFlows, which can be used by all interpreters. Over three years in development, Paradise was released at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has been adopted by the International Oil Companies (IOCs) and National Oil Companies (NOCs) and worldwide since its launch. Geophysical Insights continues to build machine learning capabilities in the Paradise workbench, which is proving to reveal deeper insights into the seismic response. Built for large sets of data, Paradise is a ‘Big Data’ solution that easily scales from a single workstation to an enterprise. With adaptive algorithms that learn from the data that are enabled by high-performance computing, interpreters can extract more information from seismic and well data than would otherwise be possible from traditional interpretation tools.
Contact: Hal Green, Director of Marketing, Geophysical Insights
For Immediate Release
Geophysical Insights Launches the Attribute Generator with an Expanded Library of Advanced Seismic Attributes
Houston, Texas, 24 April 2017
Geophysical Insights announced the launch of the new Attribute Generator in the latest release of Paradise® – version 3.1. Paradise is a multi-attribute analysis platform that uses machine learning to extract more information from seismic and well data. The new Attribute Generator features a library of over 100 attributes, including instantaneous, geometric, and spectral decomposition. A key component of the release is inclusion of a library of spectral decomposition and geometric attributes by the AASPI (Attribute Assisted Seismic Processing and Interpretation) Consortium at The University of Oklahoma. In October 2016, Geophysical Insights announced an agreement with The University of Oklahoma to license the AASPI algorithms and make them available through guided Thought-Flows™ in the Paradise platform. With the launch of the new Paradise Attribute Generator, these advanced attributes can now be used by more interpreters across the oil and gas industry, and in any geologic setting. Version 3.1 of Paradise also includes RGB Blending and a “drag and drop” connector to Petrel.
“We reviewed various sources of seismic advanced attributes, including developing our own, and found those from the AASPI Consortium represent the best in the industry,” according to Dr. Tom Smith, President and CEO of Geophysical Insights. “Under Dr. Kurt Marfurt’s leadership, researchers at the AASPI Consortium are at the frontier of seismic attribute research, and we are proud to leverage AASPI technology. The addition of the Attribute Generator advances our strategy of making Paradise the destination for attributes, machine learning, and multi-attribute analysis.”
About the AASPI Consortium at the University of Oklahoma (OU)
The AASPI Consortium, which is led by Dr. Kurt Marfurt with the University of Oklahoma’s Mewbourne College of Earth and Energy, is a world-class research organization whose members include companies across many sectors of the oil and gas industry. Their goal is to serve as a research component for independent and intermediate-sized oil and gas companies, domestic North American business units of large companies and national oil companies dealing with imaging subtle structures in land data and marine environments. In exchange for geologic insight, well control, 3D seismic data and consortium funding from sponsor companies, they generate and evaluate emerging technologies that can influence costly drilling and completion decisions.
Housing the AASPI Consortium, the Mewbourne College of Earth and Energy at the University of Oklahoma consists of the Mewbourne School of Petroleum and Geological Engineering, the ConocoPhillips School of Geology and Geophysics and the Oklahoma Geological Survey. The schools are consistently rated among the top five petroleum engineering, petroleum geology and geophysics programs in the country.
About Geophysical Insights
Geophysical Insights was founded in 2008 by Dr. Tom Smith with the vision of applying machine learning methods to geologic interpretation to reduce the risk of exploration and the cost of field development. The mission of the business is to develop the next generation of interpretation tools in an intuitive, elegant interface that can be used by all interpreters. Over three years in development, Paradise was commercially launched at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has seen steady adoption in the industry since its launch.
Geophysical Insights continues to build capabilities in the Paradise platform, which is proving to reveal deeper insights in the seismic response through multi-attribute analysis. Built for large sets of data, Paradise is a ‘Big Data’ solution that easily scales from a single workstation to an enterprise. With adaptive algorithms that learn from the data that are enabled by low-cost, high performance computing, interpreters are able to extract more information from seismic and well data than would otherwise be possible from traditional interpretation tools.
Dr. Tom Smith receives the Natural Science & Mathematics Distinguished Alumni Award from the University of Houston
See more on the event here: http://www.uh.edu/nsm/people/distinguished-alumni/index
Dr. Tom Smith received a BS and MS degree in Geology from Iowa State University. His graduate research focused on a shallow refraction investigation of the Manson astrobleme. In 1971, he joined Chevron Geophysical as a processing geophysicist but resigned in 1980 to complete his doctoral studies in 3D modeling and migration at the Seismic Acoustics Lab at the University of Houston. Upon graduation with the Ph.D. in Geophysics in 1981, he started a geophysical consulting practice and taught seminars in seismic interpretation, seismic acquisition and seismic processing. Dr. Smith founded Seismic Micro-Technology in 1984 to develop PC software to support training workshops which subsequently led to development of the KINGDOM Software Suite for integrated geoscience interpretation with world-wide success.
The Society of Exploration Geologists (SEG) recognized Dr. Smith’s work with the SEG Enterprise Award in 2000, and in 2010, the Geophysical Society of Houston (GSH) awarded him an Honorary Membership. Iowa State University (ISU) has recognized Dr. Smith throughout his career with the Distinguished Alumnus Lecturer Award in 1996, the Citation of Merit for National and International Recognition in 2002, and the highest alumni honor in 2015, the Distinguished Alumni Award. The University of Houston College of Natural Sciences and Mathematics recognized Dr. Smith with the 2017 Distinguished Alumni Award.
In 2009, Dr. Smith founded Geophysical Insights, where he leads a team of geophysicists, geologists and computer scientists in developing advanced technologies for fundamental geophysical problems. The company launched the Paradise® multi-attribute analysis software in 2013, which uses Machine Learning and pattern recognition to extract greater information from seismic data.
Dr. Smith has been a member of the SEG since 1967 and is a professional member of SEG, GSH, HGS, EAGE, SIPES, AAPG, Sigma XI, SSA and AGU. Dr. Smith served as Chairman of the SEG Foundation from 2010 to 2013. On January 25, 2016, he was recognized by the Houston Geological Society (HGS) as a geophysicist who has made significant contributions to the field of geology. He currently serves on the SEG President-Elect’s Strategy and Planning Committee and the ISU Foundation Campaign Committee for Forever True, For Iowa State.
2016 Legends Night
Dr. Tom Smith was recognized during the Houston Geological Society’s Legends Night.
Geophysical Insights was proud to be a Platinum Sponsor of the event.
For more information on the event: https://www.hgs.org/civicrm/event/info?id=1562
For Immediate Release
Geophysical Insights Becomes an Industry Member Sponsor for the
Attribute Assisted Seismic Processing & Interpretation Consortium
DENVER, CO – 1 JUNE, 2015 – Geophysical Insights, developer of Paradise®, a multi-attribute seismic analysis software platform, announced today at the 2015 American Association of Petroleum Geologists Annual Convention & Exhibition that the company is now a member and sponsor of the Attribute Assisted Seismic Processing & Interpretation (AASPI) Consortium at the University of Oklahoma (OU). AASPI is led by Dr. Kurt J. Marfurt, the Frank and Henrietta Schultz Chair and Professor of Geophysics at the ConocoPhillips School of Geology and Geophysics.
As a member and sponsor of AASPI, Geophysical Insights will support AASPI’s research on improved understanding of the impact of acquisition, processing, and imaging on seismic attributes. In contrast to AASPI’s research work, the commercial, off-the-shelf Paradise software analyzes multiple attributes and well log data simultaneously to distill greater insights from the seismic response. The technology development underway at Geophysical Insights and research at AASPI are viewed as complementary initiatives. The sponsorship funding will provide the time necessary for AASPI to evaluate emerging technologies that can influence costly drilling and completion decisions.
“We are delighted to be a member and sponsor of the AASPI Consortium,” said Dr. Tom Smith, President/CEO of Geophysical Insights. “The outstanding research being done at OU by Dr. Marfurt and his team are very much aligned with the principals and methods underlying our own aggressive technology development program. Our company’s participation in AASPI is also a great opportunity to invest in the next generation of geoscientists, and I encourage other like-minded companies to consider becoming a member in AASPI.”
“It’s great to have Geophysical Insights join our board of industry sponsors,” said Dr. Kurt Marfurt, Principal Investigator of AASPI. “Tom Smith is an industry thought leader on using pattern-recognition and machine learning methods to extract more information from multiple attributes, and I welcome his insights and the support of Geophysical Insights. We look forward to working with Tom and his staff to advance our research.”
About Geophysical Insights
Geophysical Insights (www.geoinsights.com ) develops pattern-recognition, machine-learning technologies to dramatically reduce exploration risks, field development costs, and the time required for interpretation. Paradise®, an off-the-shelf, multi-attribute seismic analysis software platform by Geophysical Insights, is the latest of the company’s developments. Launched commercially in late 2013, Paradise enables interpreters to easily apply advanced pattern recognition capabilities on multiple attributes through guided workflows, including Self-Organizing Maps (SOMs) and Principal Component Analysis (PCA). Among several unique capabilities, the Paradise software features a means of quantifying the relative contribution of attributes to a volume, and a unique, interactive 2D Colormap that is integral to the classification results from Paradise. Together, these methods provide a straightforward tool for the interpreter to gain greater insights in the seismic response. The company supports the effective use of Paradise by interpreters through installation services, geoscience consulting, and training.
About Attribute Assisted Seismic Processing & Interpretation
The Attribute Assisted Seismic Processing & Interpretation (http://mcee.ou.edu/aaspi/index.html) is a consortium at the University of Oklahoma. The goal of the consortium is to serve as a research component for independent and intermediate-sized oil and gas companies, domestic North American business units of large companies, and national oil companies dealing with imaging subtle structures in land data and shelf environments.