发表机构
Sinopec Petroleum Engineering Zhongyuan Co., Ltd.; Xi’an Jiaotong University（中石化石油工程中原有限公司; 西安交通大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过地下储气库三案例对比，发现将工程推理与DEXPI序列化分离可降低表示负担并隔离序列化失败，但无法消除工程不一致性。
AI 中文摘要
大型语言模型能够生成工程描述和结构化工艺表示，但标准级别的序列化会显著增加生成负担。本诊断性研究考察了在受约束的绿地表面工艺设计（针对地下储气库）中，将工程推理与流程工业数据交换（DEXPI）序列化分离是否会改变表示和工程失败的发生位置。我们在三个案例中比较了直接DEXPI生成与轻量级工程中间表示（IR）的生成：单压力注入、采出与外输、以及双压力注入。所有六种条件均使用一个固定的模型快照qwen3.8-max-0902，每种条件完成一次托管生成。直接输出在3个案例中有2个通过XSD验证，而所有3个工程IR输出在最小验证器下均结构有效。直接提示输入包含约121.8k-121.9k个token，而工程IR提示仅包含617-699个token。工程可行性并非一致地偏向IR：一个IR输出因明确的冷却状态矛盾而被拒绝。这些案例还揭示了两种不同的直接DEXPI失败模式：工程不一致性和标准级别序列化失败。观察到的比较表明，在这些评估的方法组合中，延迟DEXPI序列化显著降低了表示负担并有助于隔离序列化失败，但仅降低表示负担并不能消除工程不一致性。
英文摘要
Large language models can produce engineering descriptions and structured process representations, but standards-level serialization can substantially increase the generation burden. This diagnostic study examines whether separating engineering reasoning from Data Exchange in the Process Industry (DEXPI) serialization changes where representation and engineering failures occur in constrained greenfield surface-process design for underground gas storage. We compare Direct DEXPI generation with generation of a lightweight Engineering Intermediate Representation (IR) on three cases: single-pressure injection, withdrawal and export, and dual-pressure injection. All six conditions use one fixed model snapshot, qwen3.8-max-0902, with one completed hosted generation per condition. Direct outputs are XSD-valid in 2 of 3 cases, while all 3 Engineering IR outputs are structurally valid under a minimal validator. Direct prompt inputs contain approximately 121.8k-121.9k tokens, compared with 617-699 tokens for the Engineering IR prompts. Engineering feasibility does not uniformly favor the IR: one IR output is rejected for an explicit cooling-state contradiction. The cases also reveal two distinct Direct DEXPI failure modes: engineering inconsistency and standards-level serialization failure. The observed comparison shows that, in these evaluated method bundles, deferring DEXPI serialization substantially reduces representation burden and helps isolate serialization failure, but reducing representation burden alone does not eliminate engineering inconsistencies.
