What this category of data looks like
Data sources for oil and gas extraction intelligent due diligence include real-time logs from drilling site sensors, block exploration phase reports, trial production cost accounting reports, third-party geological compliance documents, and more. Data update rhythm changes with project phases: real-time updates during the drilling phase, daily summaries during the trial production phase, and only compliance and reserve data updated after exploration completion. The document structure includes block basic information, drilling parameter modules, oil and gas reserve calculation, risk assessment checklists, and more. Most fields carry professional units: well depth in meters, permeability in millidarcys, formation pressure in megapascals. Some reports contain nested sub-module data.
What constraints do these characteristics impose on workflow orchestration?
The multi-source and heterogeneous nature of oil and gas extraction data requires workflows to adapt to inputs in various formats, including structured reports, unstructured logs, and compliance PDFs. The variable data update rhythm based on project phases requires workflows to support triggering via data timestamps, adapting to real-time or periodic update logic. The long documents and specialized field characteristics require workflows to include dedicated parsing and standardization nodes to avoid incorrect splitting of professional terms or loss of unit information. The nested multi-module data structure requires workflows to support layered parsing, ensuring complete extraction and association of information from each sub-module.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Oil and gas extraction documents are mostly long texts, including dozens of pages of drilling logs and reserve calculation sheets, requiring sufficient time to complete parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single block exploration report may exceed the size of conventional documents, requiring adaptation to large file upload requirements |
Chunk size | 1000-1500 characters | Oil and gas professional terms are dense. Too long segments will lose context association, while too short segments will split professional modules |
maxContext | 8000-12000 characters | Due diligence reports need to associate multiple sections of drilling parameters and reserve data, requiring sufficient context to support model inference |
WORKFLOW_TRIGGER_MODE | Trigger by data update timestamp | Oil and gas extraction data update rhythm changes with project phases, needing to match real-time or periodic update logic |
RECALL_CHUNK_COUNT | Top 6-8 entries | Professional due diligence requires sufficient reference fragments to support conclusions; too many will increase model inference burden |
The parameter values provided on this page are common recommended 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
- Symptom: The model cannot read uploaded oil and gas exploration documents during invocation. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted. Files exceeding the default limit are automatically filtered, causing the parsing node to fail to obtain file content. - Symptom: Nodes fail to trigger after migrating workflows from version 4.8. Cause: The default value of the new version's
WORKFLOW_TRIGGER_MODEwas not adapted. The trigger logic of the old version differs from the new version. - Symptom: No standardized due diligence report document is generated after workflow execution. Cause: The built-in document generation node was not enabled, or the output format parameter was not configured, resulting in only scattered text fragments from the model output.
How to Verify Proper Configuration
- Upload the largest single oil and gas exploration document, check if
UPLOAD_FILE_MAX_SIZEcovers the actual size of the file, and confirm that the parsing node normally returns parsed text fragments. - Trigger the workflow and check the logs, confirm if
WORKFLOW_TRIGGER_MODEmatches the current project's data update rhythm, and verify that nodes start as expected. - View the model output results, check if the segmented text retains complete information of professional fields, and confirm that the
Chunk sizeconfiguration matches the document characteristics. - Simulate a large file parsing scenario, adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter, and confirm that the workflow does not terminate due to parsing timeout.
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.