What Data for This Category Looks Like
Oil and gas exploration investment research data sources include exploration and development reports, drilling operation logs, production operation reports, reservoir simulation datasets, and industry standard specifications. Update rhythms vary significantly: drilling operation logs are generated in real time during operations, regional exploration reports are updated periodically per project cycles, and industry standard specifications are revised irregularly.
Document structures fall into two categories: structured tables (such as well ID, operating depth, and formation pressure parameter tables) and unstructured analytical texts (such as exploration effect evaluation and development plan demonstrations). Unique fields and units include API gravity, daily production (cubic meters per day), formation permeability (millidarcy), and other petroleum industry-specific identifiers.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall
The mixed structured and unstructured data structure requires the retrieval system to support both vector semantic retrieval and precise filtering of structured fields. Differences in update frequency require configuring incremental synchronization rules to distinguish the update rhythms of real-time production data and low-frequency industry reports.
Unique professional units and terms require retaining original field semantics during retrieval to avoid information deviation caused by unit conversion or term simplification. The high proportion of long documents requires adopting a reasonable segmentation strategy to prevent single documents from being split into semantically broken fragments, or context overflow caused by overly long segments.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Oil and gas exploration professional documents often contain long technical descriptions. This range preserves complete professional semantics within a single segment, avoiding forced merging or split-induced semantic breaks |
recall_count | Top 8–12 results | Investment research scenarios need to cover multi-dimensional data including drilling, production, and exploration. This value balances information completeness and retrieval result precision |
similarity_threshold | 0.72–0.85 | Semantic similarity of professional terms requires precise matching. A value too low will introduce irrelevant general industry documents, while a value too high will miss segmented data within the same field |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large single exploration reports or drilling logs takes significant time. This range reserves sufficient parsing time to avoid file parsing timeout errors |
structured_field_filter_switch | Enabled | Oil and gas exploration data includes structured fields such as well ID and operating time. Field filtering narrows the retrieval scope and improves the targeting of investment research results |
rerank_return_count | Top 3–5 results | Investment research scenarios prioritize displaying the most relevant core data. Reranking optimizes sorting accuracy and helps quickly locate key information |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After configuring custom separators, segmentation results either merge multiple professional paragraphs or split a single long text into semantically broken fragments. Cause: The segmentation rules were not adjusted to match the professional line break habits of oil and gas exploration documents, and reliance solely on fixed segment length leads to semantic fragmentation.
- Phenomenon: Retrieval results cannot accurately filter data using structured fields such as well ID and operating time. Cause: The structured field filter switch was not enabled, or the field format was not correctly matched in the retrieval query.
- Phenomenon: After local deployment, knowledge base file uploads succeed, but uploaded local files cannot be accessed during conversations. Cause: The temporary file storage path for conversation scenarios was not configured, or storage path permissions are insufficient to access temporary files.
How to Verify Successful Configuration
- Upload a typical oil and gas exploration report, check the parsed segmentation results, and confirm that each segment retains complete professional semantics with no cross-paragraph breaks or forced merging.
- Enter a retrieval query containing a specific well ID and operating time, and verify that the structured field filter function can accurately screen for corresponding data.
- Initiate a retrieval and check that the returned results are sorted according to professional relevance, with no irrelevant general industry documents included.
- Upload a single large drilling log file, wait for parsing to complete, and confirm that no timeout errors occur, and the parsed text is complete and free of missing content.
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.