What the data for this use case looks like
Oilfield services engineering intelligent due diligence report data primarily originates from drilling construction logs, fracturing operation records, equipment operation and maintenance ledgers, subcontractor qualification documents, and industry compliance documents. The data update rhythm is adjusted based on project progress. For single-well projects, updates are synchronized weekly or at construction nodes from the survey stage to the completion stage. Document structure includes structured fields and unstructured attachments. Structured fields cover well ID, construction date, equipment model, operating pressure, displacement, and other items, with units including MPa, m³, rpm, and others. Most attachments are PDF-format construction drawings and test reports.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The structured fields of oilfield services engineering due diligence data are numerous and carry specific units. This requires prompts for multi-turn dialogue to clearly specify unit verification rules, preventing unit confusion in extraction results. Data is updated frequently alongside project progress, so multi-turn conversation context must retain records of historical construction nodes. This ensures subsequent follow-up questions can link to past operation data. Most unstructured attachments are PDF-format construction drawings and test reports, so prompts must adapt to long-text parsing logic and differentiate between structured fields and attachment content. Subcontractor qualification data requires multi-turn follow-up questions to supplement missing information such as qualification numbers and validity periods, ensuring complete due diligence content.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 15 turns | Oilfield services engineering due diligence dialogue requires linking records from multiple construction nodes. 15 turns covers core construction dialogue within the single-well project cycle, avoiding context overflow that impacts response accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Oilfield services engineering construction drawings and test reports are mostly long PDF documents. 600 seconds ensures complete parsing without timeout interruptions |
Segment Length | 1000–1200 characters | Oilfield services engineering data mixes structured fields and long-text attachments. This segment length balances parsing accuracy and context window usage |
Retrieval Count | Top 8 entries | Due diligence reports need to cover multiple types of operation data including drilling, fracturing, and equipment maintenance. 8 entries covers historical records of core operation modules |
Similarity Threshold | 0.75–0.85 | Oilfield services engineering has many specialized terms. This threshold filters low-relevance historical data and retains core operation parameters |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single oilfield services engineering construction drawing or test report has a large file size. This upper limit meets conventional attachment upload requirements |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After calling the interface to generate a due diligence report, the operation data field in the dialogue log is empty. Cause: The extraction rules for structured fields are not specified in the prompt, causing the AI to fail to write operation parameters into the log field.
- Phenomenon: After adding a code block to the prompt in the "text content extraction" module, the complete response shows the code block as undefined. Cause: The syntax of the code block in the prompt does not comply with platform parsing rules, or the extraction scope is not limited to oilfield services engineering-specific operation parameters.
- Phenomenon: After a user deletes a single dialogue entry, the associated due diligence log record disappears simultaneously. Cause: The independent storage association logic between dialogue and logs is not configured, and the delete operation directly links dialogue entries bound to log data.
How to Verify Correct Configuration
- Upload a PDF of an oilfield services engineering construction log, check if the parsed structured fields include exclusive parameters such as well ID and operating pressure, and verify that field units comply with preset rules.
- Initiate multi-turn follow-up questions, for example, first ask for the fracturing parameters of a specific well, then ask for the date of that operation, and check if the AI can link to the construction node data from the historical dialogue.
- Simulate deleting a single dialogue entry, check if the remaining dialogue and associated logs retain complete operation records, and confirm that the storage logic does not bind delete operations.
- Test uploading a large-volume construction drawing, check if the upload limit is triggered, and confirm that the configured file size upper limit meets requirements.
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.