Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI
Amazon AWS AI Blog / 5/8/2026
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Key Points
- Halliburton developed a proof-of-concept that turns natural-language questions into executable seismic workflows and also enables question answering for its Seismic Engine tools and documentation.
- The team built an architecture using Amazon Bedrock and generative AI to support both workflow generation and retrieval-style responses.
- Evaluation results indicate workflow creation can be accelerated by up to 95%, demonstrating significant efficiency gains in a complex technical domain.
- The post shares technical implementation details and practical learnings intended to help other organizations improve similarly complex end-to-end workflows with generative AI.
In this post, 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. We'll cover the technical details of the solution, 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.
