The tools available to a geoscientist are rapidly evolving with AI. Join us for Thomas Chaparro’s talk on “A day in the life of a geoscientist with AI and ML”. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
Geophysical Insights
Oil and Gas
Houston, Texas 5,389 followers
Offering the Paradise® AI Workbench for Seismic Interpretation
About us
Geophysical Insights was founded in 2008 in Houston, Texas, by Dr. Tom Smith with the vision of applying machine learning to seismic interpretation to reduce the risk of oil and gas exploration and the cost of field development. Shortly after launching the company, Dr. Smith assembled a team of geoscientists and interpretation software specialist to develop the next generation of seismic interpretation software. The group’s mission was to apply machine learning to the problem of seismic interpretation and deliver the new capability in an off-the-shelf, commercial software product that could be used by any geoscientist. The new AI workbench, branded as Paradise®, would feature an intuitive, elegant interface that guided geoscientists in applying machine learning to many different types of geologic and stratigraphic investigations. Over three years in development, including a year of field trials, Paradise was launched as a commercial product at the Society of Exploration Geophysicists (SEG) Annual Convention in 2013 and has since seen steady adoption worldwide, including by national oil companies (NOCs) and international oil companies.
- Website
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http://www.geoinsights.com
External link for Geophysical Insights
- Industry
- Oil and Gas
- Company size
- 11-50 employees
- Headquarters
- Houston, Texas
- Type
- Privately Held
- Founded
- 2009
- Specialties
- Oil, Energy, Seismic Interpretation, Geology, Geophysics, Microseismic, Exploration, and Neural Networks
Products
Paradise
Geology Software
Enabling every interpreter to apply AI tools through guided ThoughtFlows®, Paradise is a multi-attribute seismic analysis workbench that uses machine learning to extract more information from both seismic and well data.
Locations
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Primary
1980 Post Oak Blvd
Suite 100
Houston, Texas 77056, US
Employees at Geophysical Insights
Updates
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Don't miss an in-depth look at how machine learning lithofacies prediction has stark advantages over statistical seismic inversion. Presented by Alvaro Chaveste at booth 624. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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Geoscientist and AAPG President Deborah Sacrey will share how she uses machine learning to analyze clastic regimes powered by Paradise AI. Visit booth 624 to learn more about her success. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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Discover how you can use machine learning to predict lithologies faster, more accurately and detailed compared to statistical seismic inversion. Join us at booth 624 for "Introduction to the Paradise Workbench," presented by Chase Stanford. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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AI and machine learning are valuable tools for seismic interpretation. Don't miss Rocky Roden's talk where he addresses the question: "How much do interpreters need to know about AI and ML? - or - I just want to know the answer!", happening today at booth 624. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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Come to booth 624 to hear Dr. Carrie Laudon present a case study on applying machine learning and multi-spectral coherence with added level of detail to improve fault imaging in unconventional reservoirs. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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Geoscientist and AAPG President Deborah Sacrey will share how she uses machine learning to analyze carbonate regimes powered by Paradise AI. Visit booth 624 to learn more about her success. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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Join us at booth 624 to hear Dr. Amir Ismail share his work on gas channel detection and facies analysis in the West Delta Deep Marine, Egypt. #IMAGE2024 #Geoscience #WDDM #OilandGas
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Don't miss an in-depth look at how machine learning lithofacies prediction has stark advantages over statistical seismic inversion. Presented by Alvaro Chaveste at booth 624. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI
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At IMAGE 2024, discover how you can use machine learning to predict lithologies faster, more accurately and detailed compared to statistical seismic inversion. Join us at booth 624 for talks at 10:00 am daily. #IMAGE2024 #Geoscience #SeismicInterpretation #MachineLearning #AI