Tela™ agentic-AI assistant for production analytics advisor

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Agent-driven solution for automated production engineering workflows.

Overview

Production analytics advisor helps teams maximize the value of their production data faster and with greater confidence. By replacing complex interfaces with natural-language interaction, it enables global teams to seamlessly query data and receive contextual answers. Beyond simple Q&A, the solution executes production engineering workflows such as production forecasting, waterflood surveillance, Chan analysis, and type well analysis to identify opportunities for production improvement without disrupting established workflows.

Challenges

• Production data is often stored across multiple trusted systems, databases, and applications.
• Extracting insights requires familiarity with complex interfaces, data schemas, and predefined workflows.
• Engineers spend significant time navigating tools rather than interpreting results and making decisions.
• Production data is available and trusted but not easily accessible to a broader range of users.
• Manual execution of production engineering workflows can slow analysis and decision-making.

Solution

• Connect directly to existing production data sources, models, and calculations without replacing validated systems.
• Leverage established data quality controls and workflows while improving accessibility and usability.
• Enable natural-language interaction for querying production data and engineering insights.
• Allow users to ask questions in their preferred language and receive contextual answers grounded in trusted production data.
• Automate production engineering workflows, including forecasting, waterflood surveillance, Chan analysis, heterogeneity index analysis, and type well analysis.
• Identify production improvement opportunities faster through agent-driven analytics and automation.

Features

• Well Ranking and Production Data Query – Enable engineers to rank wells and rapidly identify top-performing and underperforming assets through natural-language queries.
• Historical Production Trend Analysis – Retrieve and visualize historical production performance through time-series charts, with AI-generated explanations of trends, anomalies, and potential areas for investigation.
• Decline-Curve Analysis – Execute Arps-based decline-curve analysis, generate production forecasts, and allow engineers to adjust parameters and refine forecasts through conversational interaction.

Benefits

• Deliver Insights in Seconds – Access production intelligence quickly through natural-language interaction.
• Accelerate Decision-Making – Automate production engineering workflows such as forecasting, waterflood surveillance, and production diagnostics.
• Reduce Manual Effort – Minimize time spent navigating tools, preparing data, and executing repetitive analyses.
• Expand Access to Expertise – Enable a broader set of users to leverage trusted production data without specialized system knowledge.
• Focus on High-Value Decisions – Allow engineers to spend more time interpreting results and optimizing production performance.