What this category of data looks like
Data sources for oil and gas extraction intelligent due diligence reports include drilling operation logs, trial production phase monitoring data, geological exploration white papers, block development annual reports, and similar materials. Update frequencies vary: real-time drilling monitoring data updates at minute-level intervals. Periodic trial production reports update weekly over the project cycle. Conventional public exploration data updates quarterly or annually. Document structure primarily combines structured tables and unstructured text. Core fields include well location coordinates, reservoir thickness, oil and gas water cut, formation pressure, and others. Fields must use industry standard units such as meters, cubic meters per day, megapascals, percentages, and similar units.
Constraints for multi-turn dialogue and prompt engineering
Scattered data sources with varied formats require multi-turn dialogue to gradually guide users to clarify data source types and collection times, to avoid parameter confusion across data sources. Coexisting update frequencies require dialogue to anchor the current query time range, to ensure extracted parameters match data from the corresponding period. Strong binding between professional fields and standard units requires prompt engineering to preset fixed extraction rules, and explicitly require returned parameters to include units and data source identifiers. High proportion of long documents requires multi-turn dialogue context windows to reserve sufficient space, to prevent loss of key parameters due to context overflow.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 tokens | Oil and gas extraction due diligence report documents have long length, sufficient multi-turn dialogue context must be retained to avoid parameter overflow |
prompt_template | Preset professional field extraction rules for oil and gas extraction, explicitly require units and data collection time to be marked | Oil and gas extraction data has professional units and time attributes, fixed extraction logic is required to ensure parameter accuracy |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single drilling logs or geological reports typically have large file sizes, upload limits must be relaxed to support complete document imports |
recall_top_k | Top 6-8 entries | Oil and gas extraction data fields are closely related, sufficient relevant documents must be recalled to support parameter derivation in multi-turn dialogue |
similarity_threshold | 0.75-0.85 | Low-relevance non-professional data must be filtered to avoid extraction of incorrect oil and gas extraction parameters |
voice_recognition_enable | Enabled | On-site operation personnel may prefer voice input, voice-to-text support must be added to adapt to operation scenarios |
voice_model | Speech recognition model optimized for industrial scenarios | A large number of professional terms exist in oil and gas extraction, general speech models cannot accurately recognize professional vocabulary |
The parameter values listed on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Each scenario requires tailored analysis. It is recommended to test against in-house samples before finalizing values.
Three common configuration errors
- Phenomenon: After enabling voice input, voice dialogue produces no text conversion, and the interface displays a voice recognition timeout error. Cause: No speech recognition model adapted to professional terms is configured. Oil and gas extraction professional vocabulary cannot be correctly recognized, triggering the timeout logic.
- Phenomenon: Extracted oil and gas parameters lack units or data collection times. For example, only "reservoir thickness" is returned without marking "meters" and collection date. Cause: The prompt template does not explicitly require standard units and time attributes to be included, and multi-turn dialogue does not guide users to supplement key information.
- Phenomenon: Extraction data from different well IDs is confused in multi-turn dialogue, and incorrect well location parameters are returned. Cause: No rule for splitting parameters by well ID and block dimension is preset in the prompt template, and the context does not anchor the target well ID for the current dialogue.
How to verify correct configuration
- Upload a qualified oil and gas extraction drilling log within the specified size limit, trigger knowledge base recall, check the quantity and relevance of recalled documents, and adjust
recall_top_kandsimilarity_thresholdto meet business requirements. - Conduct a voice input test, input a section of oil and gas extraction professional terms, check the accuracy of the transcription result, and verify that the voice model configuration is adapted to professional scenarios.
- Launch a multi-turn dialogue, sequentially request extraction of parameters such as reservoir thickness and extraction pressure, check whether the returned results include standard units and data collection times, and verify the effectiveness of the prompt template.
- Launch a cross-well ID parameter query test, check whether the returned results anchor the target well ID for the current dialogue, and verify that the context anchoring logic works.
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.