What this category of data looks like
Oil and gas exploration investment research data for financial investment research mainly comes from drilling operation logs, original well logging data, reservoir numerical simulation reports, exploration and development plan documents, and dynamic monitoring reports. Data update rhythms vary by operation phase. Logs generated during the drilling phase are updated in real time based on well site progress. Comprehensive reports from the exploration phase are updated periodically according to project cycles.
Document structures include structured numerical tables, semi-structured operation records, and long-text technical analyses. Fields include porosity, permeability, well depth, daily gas production, and others. Corresponding units are %, mD, meters, and cubic meters per day.
Constraints for Deployment and Upgrade
The large number of structured tables and complex unit requirements demand enabling table parsing during deployment and retaining field metadata to prevent unit information from being lost. The high proportion of long-text technical reports requires adjusting segmentation and context splicing parameters to avoid truncating professional content.
Real-time or high-frequency updated operation data requires configuring an incremental synchronization trigger mechanism to adapt to rapid knowledge base upgrade needs. Multi-field professional data requires recall logic to match semantic similarity of professional terms, reducing the chance of mistakenly recalling irrelevant content.
New reservoir simulation file formats are updated frequently. Upgrades must include compatibility for newly added document parsing rules.
Configuration Recommendations
| Config Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 2000 MB | Meets the parsing requirements for large documents such as reservoir simulation reports |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Supports complete parsing time for large documents and structured tables |
RECALL_TOP_K | Top 8 entries | Covers retrieval needs for multi-segment relevant content in professional documents |
Semantic Similarity Threshold | 0.75–0.85 | Matches the semantic similarity of oil and gas exploration professional terms to reduce the probability of mistaken recall |
PARSE_TABLE_ENABLE | Enabled | Retains field and unit information from structured well logging tables |
UPLOAD_BATCH_MAX_COUNT | 50 items/batch | Adapts to scenarios where well site staff upload operation logs in batches |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing values.
Three Common Configuration Errors
- The symptom is that the LLM returns no results in the debug preview interface. The cause is that
LLM_API_BASEis not correctly configured to point to the locally deployed model address, or the API key filling format is incorrect. - The symptom is that the published assistant cannot restrict access scope according to role. The cause is that the team permission configuration module is not enabled, or different roles are not assigned corresponding knowledge base access permissions.
- The symptom is that after deploying version v4.9.3 on Ubuntu Server 24.04, calling the qwen-max model returns an error. The cause is that the system's built-in openssl version is incompatible with the encryption requirements of the model API, or the Alibaba Cloud API key is not configured according to specifications.
How to Verify Correct Configuration
- Upload a typical document containing well logging tables, check if the parsed content retains field names and corresponding units.
- Submit a query containing professional terms, verify that the recalled document fragments meet the preset number of recall entries and similarity range.
- Initiate a batch upload test, confirm that the number of uploaded items does not exceed the configured batch limit.
- Switch test accounts with different permissions, check if the access scope of the knowledge base conforms to the configured role permission 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.