What the Data for This Category Looks Like
The data for oil and gas extraction intelligent due diligence reports primarily comes from oil and gas field SCADA production monitoring systems, domestic oil and gas geological exploration databases, and third-party industry data interfaces. There are two data update schedules: real-time production parameters are synchronized every 5 minutes, while geological exploration and drilling log data is updated quarterly. The data uses a structured format, including three modules: well location identification, production parameters, and geological parameters. The fields include block_id, well_id, daily_oil_production, water_cut_ratio, reservoir_thickness, api_gravity. The unit for daily_oil_production is cubic meters per day, reservoir_thickness is meters, and api_gravity is °API.
Constraints Imposed on HTTP Interfaces and External Systems
Since the data includes a mix of real-time and non-real-time types, HTTP interfaces must support pulling data at different frequencies, and workflows must distinguish trigger timing. Special naming rules for professional fields require that fields returned by the interface must align with oil and gas industry standards. External systems must strictly match field names when connecting, to avoid data misalignment caused by generic mapping. Single-batch due diligence reports need to integrate data from multiple wells and multiple cycles, so interfaces must support pagination queries and time range filtering. Some data interfaces return large content volumes, so reasonable request size limits and timeout periods must be configured to prevent request interruptions.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
http_timeout | 300 seconds | Oil and gas data interfaces often return large volumes of historical logs; 300 seconds covers response times for most complex queries |
page_size | 1000 records | Monthly production data for a single well can reach thousands of records; 1000 records per page balances request count and single-transmission load |
field_mapping_strategy | Map by professional field names | Oil and gas data includes specialized fields such as well_id and daily_oil_production; fields must be mapped one-to-one with external systems to avoid misalignment from generic mapping |
schedule_interval | 5 minutes / quarterly | Real-time production data updates every 5 minutes, geological data updates quarterly; pull cycles must be configured according to data type |
max_payload_size | 200 MB | Total size of oil and gas data required for a single-batch due diligence report typically does not exceed 200 MB, to avoid exceeding interface return limits |
auth_method | API_KEY authentication | Most oil and gas industry data interfaces use API_KEY authentication, which meets secure connection requirements for external systems |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- A
1064 - You have an error in your SQL syntaxerror is returned when executing a database query workflow. The cause is failure to correctly write professional oil and gas data fields such asreservoir_thicknessinto SQL statements, using generic field names that cause matching or syntax errors. - The optional options section of the parameter panel is blank and cannot be added when configuring a custom HTTP tool. The cause is failure to configure the
enumfield inparameter_schema; only the parameter name is defined, and no optional value range is set. - No data is written after uploading a PPT format file when importing data into a database. The cause is that oil and gas due diligence raw data is in structured format, while PPT is an unstructured document, which cannot be recognized by the structured import function of the database.
How to Verify Proper Configuration
- Initiate an HTTP interface request filtered by
well_id, check that the returned fields include professional fields such asdaily_oil_productionandwater_cut_ratio, and that units comply with oil and gas industry standards. - View workflow execution logs to confirm that database query statements match specialized fields of oil and gas data, with no syntax errors.
- Test scheduled pull tasks to confirm that real-time data updates every 5 minutes, and geological data triggers pulls quarterly.
- When calling a custom HTTP tool, confirm that the parameter panel displays preset optional values, which can be normally selected and passed into the request.
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.