Drill offers a suite of AI-driven modules tailored to the drilling value chain:
A next-generation AI solution for automatic reading, extraction, and analysis of drilling documents. It processes daily reports, geological logs, and company records using OCR and large language models (LLMs).
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The Data Preprocessing and Preparation module is the foundation of the DrillAI ecosystem. It receives raw drilling data, performs automatic quality assessments, and intelligently labels each activity — such as drilling, tripping, and pipe connection — creating a clean, structured dataset ready for analysis. The module also standardizes and normalizes key features to ensure reliable inputs for all AI-based predictive and optimization tasks.
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This module monitors and optimizes drilling fluid flow throughout the operation. It calculates precise pressure losses in the drill string, BHA, annulus, and bit, enabling comprehensive hydraulic management in real time.
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An intelligent decision-support system for selecting the optimal IADC bit code for each formation and hole size. The module analyzes geological, mechanical, and economic data to recommend the most efficient bit combination with the best performance-to-cost ratio.
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The Hole Cleaning module ensures the efficient removal of drilling cuttings and prevents borehole collapse by predicting the minimum required flowrate with more than 90% accuracy.
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This module uses advanced AI models and time-series algorithms — including the Convolutional Transformer architecture — to accurately predict the Rate of Penetration (ROP) ahead of drilling operations. By analyzing sensor data, mud parameters, and bit specifications, it provides a highly accurate, real-time prediction of drilling speed.
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The ROP Optimization module acts as a digital drilling assistant, recommending optimal operational parameters such as WOB, Flowrate, and RPM in real time. It combines mechanical models with AI insights to help drillers maximize penetration rate while minimizing energy use and bit wear.
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This AI-based module predicts subsurface lithology types in real time using live drilling data. It provides drillers with a continuous understanding of the rock structure ahead of the bit, enhancing decision-making and safety.
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An intelligent multi-agent system that automates the drilling program design process. Each AI agent manages a specific part of the drilling plan, interacting with users to collect inputs and generate a complete, professional drilling program.
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A locally hosted AI assistant that enables real-time access to drilling insights, dashboards, and custom reports via text or voice commands. It connects seamlessly to the Document Understanding module for instant data retrieval.
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An intelligent forecasting system that predicts production performance and identifies optimal well locations using AI-driven data analytics. It replaces traditional simulation methods with faster and more flexible machine learning models.
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An advanced AI tool for reconstructing missing or incomplete well log data, improving the quality of petrophysical analysis and reservoir modeling.
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