This article describes a scalable AWS solution for automating extraction and processing of oil and gas rig reports using machine learning and serverless architecture.

• Amazon Textract automates data extraction from drilling, completion, and workover reports at scale
• Serverless pipeline uses S3, Lambda, SQS, SNS, DynamoDB, and EventBridge for scalable processing
• Solution successfully tested ingesting 50,000 PDF files in single batch
• Extracted data stored in DynamoDB tables for easy retrieval and analysis
• Monitoring dashboards track pipeline status and identify failed documents automatically
• Reprocessing pipeline minimizes costs by avoiding duplicate Textract jobs and DynamoDB entries
• QuickSight visualizations reveal operational insights like nonproductive time per well
• Benefits include reduced manual effort, improved data accuracy, and better decision-making

The solution transforms rig report processing by automating data extraction, enabling quick analysis, and providing foundation for machine learning and AI applications in oil and gas operations.