What the data for this category looks like
Data sources for oil and gas extraction intelligent due diligence reports include internal production systems of oil and gas extraction enterprises, public reports from third-party geological exploration institutions, and filing data from industry regulatory authorities. Update rhythms vary across data types: real-time drilling data updates hourly, monthly trial production data updates monthly, and reserve assessment reports update per project milestone or quarterly.
Each report has a fixed document structure, including sections such as block overview, drilling engineering records, extraction technology plans, compliance verification documents, and risk assessment attachments. Fields include daily fluid production per well, drilling depth, porosity, and permeability, with units of cubic meters per day, meters, decimal, and millidarcy respectively. No additional statistical percentage data is included.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous data with inconsistent update rhythms requires adapting to interface protocols and update frequencies of different data sources during deployment, and compatible access rules for new data sources during upgrade.
Fixed document structures and specialized fields require configuring precise field extraction rules during deployment to avoid parsing misalignment. Diverse unit systems require presetting unified unit mapping rules during deployment, and compatible handling of new specialized unit types during upgrade.
Low-latency requirements for real-time data require configuring appropriate streaming processing parameters during deployment, and not interrupting the connection link for real-time data streams during upgrade.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Standard oil and gas extraction due diligence reports typically contain dozens of pages of specialized documents, resulting in long parsing times |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Due diligence reports for large oil and gas blocks include multiple drilling logs and reserve assessment attachments, resulting in large total file size |
maxContext | 8000–12000 characters | Core fields of due diligence reports are closely linked, requiring sufficient context for accurate extraction and generation |
RECALL_TOP_N | Top 10 entries | Oil and gas specialized data fields are scattered across different sections, requiring sufficient relevant paragraphs to cover core information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Oil and gas specialized terms have high semantic similarity, requiring filtering of low-relevance recall results |
PARSE_SEGMENT_LENGTH | 1500 characters | Oil and gas specialized document paragraphs are long. Overly long segments damage the integrity of specialized terms, while overly short segments reduce parsing accuracy |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Empty response returned when calling built-in tools, and the interface displays "Model stream output is empty". Cause: The streaming output switch of the model is not enabled correctly, or the streaming response port of the model is not opened during deployment.
- Symptom: Extracted fields are missing or misaligned after uploading a due diligence report. Cause: The
PARSE_SEGMENT_LENGTHparameter is not adjusted based on the document structure, leading to incorrect splitting of specialized terms. - Symptom: Database connection error indicating insufficient permissions after restarting Docker containers under Ubuntu. Cause: Database connection configurations are not mounted to persistent volumes during deployment, resulting in configuration loss after restart and permission verification failure.
How to confirm the configuration is correct
- Upload a single standard oil and gas extraction due diligence report, and verify whether the extracted fields after parsing cover the preset core parameters.
- Trigger a built-in tool call test, and confirm that the returned results have no empty values or abnormal errors.
- Restart the deployment container, and check the connection status of all external interfaces including data sources, model services, and databases.
- Run the version upgrade script, and verify that no abnormal changes occur to the original configuration and parsing rules.
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.