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Halliburton streamlines seismic data analysis with AWS generative AI

Halliburton has implemented a solution based on Amazon Bedrock and generative AI to transform natural language into executable seismic workflows. This represents a significant streamlining of the geological data analysis process.

By the Aheadline editorial team·7 juli 2026·2 min read·Source: AWS Machine Learning BlogVerifierad signalAI-generated
Halliburton streamlines seismic data analysis with AWS generative AI
Halliburton streamlines seismic data analysis with AWS generative AI
Halliburton streamlines seismic data analysis with AWS generative AI
By · Policy- & EU-reporter
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What happened?

Halliburton has developed a Proof-of-Concept (PoC) that utilises generative AI via Amazon Bedrock to create seismic workflows from natural language. The solution also includes a question-and-answer function for Halliburton's Seismic Engine tool and documentation. The goal is to simplify and accelerate the process of analysing and interpreting seismic data.

Key facts

TeknologiAmazon Bedrock, Generativ AI
FöretagHalliburton
Effektivisering (PoC)Upp till 95%
AnvändningsområdeSeismiska arbetsflöden

We'll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-answering capability for Halliburton's Seismic Engine tools and documentation.

AWS, Blogginlägg · AWS Machine Learning Blog

share evaluation results showing workflow acceleration of up to 95%, and discuss key learnings that can help other organizations enhance their complex technical workflows with generative AI.

AWS, Blogginlägg · AWS Machine Learning Blog

Why it matters

This application of generative AI addresses the complexity of creating and managing advanced seismic workflows. By enabling natural language input, the barrier to interacting with sophisticated analytical tools is lowered, potentially leading to faster decision-making and increased productivity within the oil and gas industry. Potential workflow acceleration of up to 95% was observed during the PoC phase.

Who is affected?

The solution primarily impacts geophysicists and data analysts in the energy industry working with seismic data. Companies like Halliburton, which provide technology and services to the energy sector, can benefit by offering more efficient tools to their customers. Ultimately, this may affect the exploration and extraction of energy resources globally.

What else you should know

The PoC solution is built on technology from Amazon Bedrock, a cloud service offering access to Foundation Models from various AI developers. The specific implementation was tailored to Halliburton's proprietary tools and documentation.

Frequently asked questions

Quick answers about this story

Vad har hänt?
Halliburton har utvecklat en Proof-of-Concept-lösning som använder Amazon Bedrock och generativ AI för att omvandla naturligt språk till exekverbara seismiska arbetsflöden.
När hände det?
Information om denna utveckling publicerades den 27 februari 2024 på AWS Machine Learning Blog.
Varför spelar det roll?
Detta projekt syftar till att avsevärt effektivisera skapandet av komplexa seismiska arbetsflöden och därmed påskynda dataanalysen inom olje- och gasindustrin. Det visar hur generativ AI kan tillämpas för att förenkla avancerade tekniska processer.
Vilka bolag berörs?
Halliburton, som implementerar lösningen, och Amazon Web Services (AWS), som tillhandahåller plattformen Amazon Bedrock.
Original source
AWS Machine Learning Blog·aws.amazon.com

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