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Formal modeling and correctness verification of an AI drilling system based on Communicating Sequential Processes
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DOI：10.1016/j.array.2026.100981.png)
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Abstract
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The Artificial Intelligence (AI) drilling system leverages multi-agent parallel collaboration to enable dynamic computation, intelligent analysis, and autonomous optimization of the drilling process, thereby significantly improving efficiency, reservoir encounter rate, and operational safety. As the adoption of AI drilling systems becomes widespread, establishing a rigorous mathematical foundation for concurrent multi-agent interaction is essential to ensure system correctness, safety, and verifiability. In this work, we present a formal description and verification of the AI drilling system based on Communicating Sequential Processes (CSP), a process algebra, to precisely characterize multi-agent interaction behaviors. Furthermore, we employ the Process Analysis Toolkit (PAT), a model checker, to implement the AI drilling system model. Specifically, the five properties that are verified include deadlock-freeness, liveness, consistency, divergence-freeness, and safety. Under the modeling assumptions and finite-state abstractions adopted in this paper, all verified properties are satisfied. The verification results demonstrate that the AI drilling system model is correct and capable of ensuring the safety of interactions among multiple agents within the system.
Keywords:
AI drilling system
Communicating Sequential Processes
Process Analysis Toolkit
Verification
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