For Immediate Release

Geophysical Insights Announces Paradise Scripting Language

Society of Exploration Geophysicists, San Antonio, Texas – 16 September 2019

Geophysical Insights chose the Society of Exploration Geophysicists Annual Meeting in San Antonio to announce the launch of the Paradise Scripting Suite. Those universities in the Paradise University Program will be the first recipients of the new programming language that is specifically for geoscience application development.

The Paradise Scripting Language (PSL) is a powerful procedural language for geophysical signal and neural network analysis. PSL commands are written using the Paradise Scripting Editor (PSE), which allows for editing, building, and debugging with ease. The Paradise Script Processor (PSP), which runs the scripts, is a language processor constructed with Intel Fortran, Parallel Studio XE 2016 64-bit in Windows Studio Ultimate.

The PSL programming environment offers over 600 geoscience specific commands for analyzing geoscience data. Using the PSL geophysical toolbox, researchers can write custom commands that include unsupervised and supervised neural network analysis. PSL comes with pre-built scripts for seismic data conditioning, resampling, ranging, clipping, balancing, whitening, and others. Students and researchers can also develop new and custom functionality and share the PSL scripts with a growing Paradise development community via a PSL forum on the Paradise Customer Portal. Scripts can also be shared via personal GitHub accounts.

“By opening up our scripting suite to researchers inside and outside the academic community, we are empowering the next generation of geoscientists and petroleum engineers to create new geophysical data procedures, and leverage our machine learning and deep learning knowledge,” says Dr. Tom Smith, President & CEO of Geophysical Insights. “PSL and the supporting suite of tools will save investigators substantial time versus programming in general-purpose languages by providing a rich set of commands built for geoscience. Those writing routines in PSL will also have the benefit of using the Paradise® AI workbench to load, visualize, and operate on the output of their code, leveraging the off-the-shelf machine learning and deep learning capabilities of Paradise. PSL expands the Paradise ecosystem to data scientists and researchers who want to develop and apply AI and advanced data analytics”.

PSL and related suite of tools are only available currently to the Paradise University Program participants; however, accredited universities are welcome to apply to the program, which is free of charge. Complementing the launch of PSL, Geophysical Insights has introduced a new e-course by Dr. Tom Smith: Machine Learning Essentials for Seismic Interpretation.

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 had its commercial debut at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has seen steady worldwide adoption since its launch.

Geophysical Insights continues to build artificial intelligence 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, interpreters can extract more information from seismic and well data than would otherwise be possible from traditional interpretation tools.

Media Contact:
Hal Green
Geophysical Insights
713.480.2260
[email protected]

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

713.480.2260

[email protected]

For Immediate Release

Media Contact:
Hal Green
Geophysical Insights
713.480.2260
[email protected]

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.