What the data for this category looks like
Data sources for oilfield services engineering include on-site drilling operation logs, fracturing job reports, reservoir numerical simulation files, industry technical specifications and compliance documents. Update rhythm adjusts with project progress. Single-well construction documents are updated in real time per well. Industry standard documents are updated quarterly or annually. Each document typically includes fields such as well ID, construction period, pressure parameters, and consumable usage. Units include cubic meters, megapascals, barrels and other engineering-specific units. Some long documents split into multiple sections of technical parameters and compliance notes.
How these characteristics impose constraints on citation source and traceability
The multi-source heterogeneous nature of oilfield services engineering data requires the traceability system to distinguish on-site primary construction data from secondary industry standard documents. Citations must label data collection nodes and generation time. Fields that use mixed units require traceability information to include original unit identifiers, to avoid parameter conversion errors. Single-well documents updated per well must be bound to a unique well ID, to ensure accurate association with the corresponding project during traceability. For technical parameter sections split from long documents, retain the original document's page number or paragraph number, to avoid positioning errors during citation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 6-8 entries | Oilfield services engineering documents have dense parameters. Too many recall results cause redundant context. Too few results fail to cover core construction parameters |
similarity_threshold | 0.75-0.85 | Oilfield services engineering has high parameter precision requirements. A threshold that is too low introduces irrelevant industry standard documents. A threshold that is too high misses historical construction data for the same well ID |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single fracturing job logs or reservoir simulation files are typically large. Large file upload support is required to fully retain traceability information |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Large reservoir simulation files take a long time to parse. Sufficient time must be reserved for field extraction and traceability tagging |
context_window_limit | 8000-12000 characters | Oilfield services engineering citations need to carry parameter values, units and source identifiers. Sufficient context is required to hold complete traceability information |
reference_source_display | Display document name + well ID + paragraph number | Oilfield services engineering traceability requires accurate association with projects and specific sections, to facilitate on-site personnel verifying original data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common errors
- Phenomenon: After calling the knowledge base tool in a workflow, returned results do not carry citation sources. Cause: The
reference_source_displayconfiguration item is not enabled, or traceability tagging is not enabled in the tool node. - Phenomenon: The total length of context returned by a knowledge base query exceeds the set threshold, causing request timeout. Cause:
recall_top_korcontext_window_limitis not restricted. A large number of long document parameters are directly passed into the context, exceeding the large model's carrying limit. - Phenomenon: Cited parameter units do not match the original document, causing confusion. Cause: Unit traceability tagging is not enabled in the configuration, and original document unit field information is not retained.
How to confirm configuration is correct
- Upload a single-well construction log document, initiate a retrieval request, and check whether returned results include citation source information such as document name, well ID and paragraph number.
- Adjust the recall count configuration, initiate multiple retrievals, and verify that the number and similarity of returned results meet business requirements.
- Upload a large reservoir simulation file, verify that the parsing task does not have timeout errors, and all fields and traceability markers are fully extracted.
- Construct a query term containing multi-unit parameters, and check whether returned citations include original unit information.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.