What the data for this category looks like
Due diligence data related to oilfield services engineering comes from on-site construction terminals, geological exploration databases, industry technical document repositories, and compliance filing documents required for financial due diligence. Document update rhythm adjusts with project progress. Update frequency is higher during exploration and construction phases, and stabilizes gradually during the production phase. A single project document typically includes modules for basic project information, construction parameters, test data, and risk assessment. Fields include well ID, well depth, permeability, and formation pressure. Corresponding units are none, meters, millidarcies, and megapascals respectively. Document length ranges from tens to hundreds of pages. Some documents contain extensive tables and drawings.
What constraints do these characteristics impose on knowledge base retrieval and recall?
Professional fields and fixed units in oilfield services engineering data require precise semantic and unit association matching during retrieval. This avoids retrieving irrelevant parameters. Long documents with detailed professional descriptions require balancing context completeness and model window limits during segmentation. Frequently updated project documents require the knowledge base to support incremental synchronization. Old data will reduce due diligence result accuracy without this support. Due diligence scenarios require filtering retrieval scope by project. This prevents mixing in documents from non-target projects.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size | 800–1200 characters | Oilfield services engineering documents contain lengthy professional descriptions. This range balances term context completeness and model context window limits |
Recall count | Top 8–12 entries | Single oilfield project documents contain large amounts of information. This range covers all relevant data while avoiding context redundancy |
Similarity threshold | 0.75–0.85 | Professional term and unit matching requirements are high. This range filters out irrelevant general documents while retaining content related to target projects |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single oilfield project reports may contain large numbers of attached drawings and raw data tables. Large file upload support is required |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large oilfield document parsing requires extended time to process tables and drawings. This avoids parsing timeout failures |
Incremental Sync Switch | Enabled | Oilfield project documents are frequently updated with construction progress. Knowledge base data timeliness must be maintained |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: The number of retrieval results is far lower than expected. Some project-related documents are not retrieved. Cause: The
Chunk sizesetting is too short. Professional terms are split without forming valid semantic associations. Complete query intent cannot be matched during retrieval. - Phenomenon: Uploading a large construction log file causes a parsing task timeout failure. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is lower than the actual time required for document parsing. It does not adapt to the parsing requirements of oilfield documents with extensive tables and drawings. - Phenomenon: Locally deployed models fail to return correct professional parameter unit matching results. API models return results normally. Cause: The local model’s professional term embedding dimension does not adapt to oilfield industry terms. Semantic similarity calculation during recall does not cover unit association features.
How to confirm the configuration is set correctly
- Upload a complete single-well oilfield project document. Check the segmented content after parsing. Confirm professional terms are not split unnecessarily.
- Enter a query term that includes a specified well ID and parameter units. Verify the coverage range of recalled results. Confirm the number of recalled entries matches the preset range.
- Upload an updated construction log. Verify whether the knowledge base automatically synchronizes new content. Confirm the incremental sync configuration is active.
- Adjust the similarity threshold and initiate a test query. Compare recalled results across different thresholds. Confirm the threshold adapts to professional retrieval requirements.
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.