What the Data for This Category Looks Like
Oilfield services engineering data primarily comes from four core sources: real-time drilling monitoring systems, logging and well logging platforms, equipment operation and maintenance log systems, and on-site material management systems. Data updates adjust to job progress. It is updated 3-5 times per day during a single well construction cycle. Archived ledgers are created after project completion. Each data document centers on a single well operation. It includes fields such as construction date, well ID, drilling depth, weight on bit, pump pressure, and mud density. Drilling depth uses meters as its unit. Weight on bit uses kilonewtons. Pump pressure uses megapascals. Mud density uses grams per cubic centimeter. Some associated documents add work teams, safety inspection records, and material consumption details.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins?
Oilfield services engineering data comes from dispersed, heterogeneous sources. Tool calling must support multiple API connections. This ensures full marketing-required information is available, instead of relying on a single data source. Data updates happen frequently. Plugin synchronization and tool call intervals must match job progress. Outdated construction data will appear in marketing content if intervals do not align. Single well operations form the core of document structure. Tool call parameters must bind well ID as a filter. Cross-project data returned without this filter will reduce marketing content accuracy. Fixed field and unit attributes require mandatory unit checks during tool calling. This prevents content deviations caused by inconsistent units.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300–600 seconds | Single well condition data pulling for oilfield services engineering usually takes 120-400 seconds. Too short a timeout will result in incomplete return of operation data |
max_tool_results | Top 10 single well data entries | Oilfield services marketing content usually focuses on core parameters of a single well or single project. Too many entries will exceed the capacity of marketing copy |
tool_param_filter_rule | Filter by the well_id field | Oilfield services data is managed centered on single wells. Well ID parameters must be bound to avoid confusion from cross-project data |
plugin_auto_update | Synchronize twice daily | Oilfield services equipment operation and maintenance logs are updated twice daily. Synchronization frequency matches data update rhythm |
plugin_auth_scope | Only grant access to operation data APIs | Oilfield services data involves construction safety and commercial information. Plugin access scope must be limited to only the fields required for marketing |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Full operation log content is passed in the
qparameter during tool calling, without extracting condition fragments required for marketing. Cause:tool_param_filter_ruleis not configured, and input content is not cropped by field according to marketing scenarios. - Phenomenon: No response after clicking the plugin, and the interface displays a
504 Gateway Timeouterror. Cause:tool_call_timeoutis set too short, and oilfield services data pulling is terminated before completion. - Phenomenon: Drilling depth returned by the tool appears in both meters and feet units, causing data deviations in marketing content. Cause: No mandatory unit conversion rule is specified in
tool_param_filter_rule, and unified units required for marketing content are not aligned.
How to Confirm the Configuration Is Correct
- Initiate a tool call test, check if the incoming
qparameter only contains content fragments required for the marketing scenario, and verify thattool_param_filter_ruleis effective. - Review tool call logs to confirm that no
408 Request Timeoutor504 Gateway Timeouterrors occur, and that the timeout time matches the actual time required for oilfield services data pulling. - Verify the fields and units returned by the tool, confirm that unified conversion has been completed according to the configuration, and no abnormal fields are mixed in.
- Test the plugin's automatic synchronization function to confirm that the synchronization frequency matches the update rhythm of oilfield services data.
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.