What this category of data looks like
Data sources include drilling site logs, reservoir exploration assessment reports, fracturing operation records, and industry technical specification documents. Update frequency is adjusted based on project progress. New documents are generated after new drilling operations enter production or fracturing jobs are completed. Industry standard documents have longer update cycles.
Document structures include structured parameter tables, long-form technical analysis, and mixed-format project briefings. Structured fields mostly contain parameters such as operating depth, equipment torque, fluid displacement, and formation permeability. Their corresponding units are meters (m), newton-meters (N·m), cubic meters per minute (m³/min), and millidarcies (mD).
Constraints on the Document Parsing and Chunking Process
High proportions of structured parameter tables require accurate identification of merged cells and cell boundaries to avoid misaligned extracted content. Long-form technical analysis contains extensive professional terms and logical paragraphs. Chunking must preserve term integrity and contextual relevance. Mixed-format documents include both compact logs and formal report layouts, requiring adaptive differentiation between table and body text areas. Format variations across project documents are significant, requiring compatible content extraction for non-standard layouts. Units of professional parameters must be fully retained to prevent unit confusion during subsequent vectorization.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Oil and gas extraction documents contain a large number of structured parameter tables, requiring complete extraction of cell content |
PARSE_CHUNK_SIZE | 800–1200 characters | Long-form professional text requires retention of contextual connections to avoid interrupting technical paragraphs |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Large drilling logs or exploration report files have significant volume, requiring support for large file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Complex document parsing requires longer processing time to avoid mid-process timeouts |
CHUNK_OVERLAP_RATE | 10–15% | Long-text chunking requires retention of contextual coherence, preventing key information from being split outside the chunk |
ENABLE_PDF_ENHANCE_PARSE | Enabled | PDF documents often contain scanned copies or encrypted layouts; enhanced parsing improves content extraction accuracy |
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 individual analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Errors
- After uploading a large exploration PDF, the service experiences a sudden spike in memory usage and triggers an OOM error with status code
503. This occurs whenUPLOAD_FILE_MAX_SIZEand parsing cache parameters are not adjusted, leading to excessive memory consumption during large file parsing. - After uploading an Excel-format drilling log, some parameter fields are empty, and vectorized index results do not meet expectations. This happens when table parsing configuration is not enabled, and Excel header row recognition rules are not specified, resulting in incomplete extraction of structured content.
- After calling the API to add documents to the knowledge base, the number of returned chunk results is far lower than expected. This occurs when a reasonable
PARSE_CHUNK_SIZEis not set, with excessive chunk length causing content to be merged, or an overly low overlap rate leading to loss of key information.
How to Verify Correct Configuration
- Upload a single typical oil and gas extraction document, and check whether table content in the parsing result is complete and merged cells are correctly identified.
- Call the parsing API, and verify that the returned chunk list contains complete professional term paragraphs with no content truncation.
- Check service monitoring metrics to confirm that memory usage during parsing does not exceed preset thresholds and no timeout errors are triggered.
- Upload an Excel-format drilling log, and verify that extracted parameter fields match the original document with no empty fields.
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.