Fracture-vuggy carbonate reservoir reasoning method and device based on knowledge graph
By constructing an inference model of carbonate reservoirs based on knowledge maps, the problem of difficulty in effectively inferring a cavities carbonate reservoir in the existing technology is solved, and more efficient exploration target selection and decision support are achieved.
CN119721230APending Publication Date: 2025-03-28PETROCHINA CO LTD
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Patent Information
- Application Number
- CN202311251766.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-26
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
It is difficult to effectively infer the gap-hole carbonate reservoirs in the prior art, especially in the case of reservoir burial depth, strong heterogeneity and complex oil-water relationship.
Method used
Using a knowledge graph-based method, we construct the ontology of the carbonate reservoir, conduct knowledge extraction, fusion and business rules construction, establish an inference model of the slot-hole carbonate reservoir, and realize intelligent evaluation.
Benefits of technology
It improves the optimization efficiency of carbonate rock crack hole-type reservoir exploration targets, improves the pertinence, accuracy and timeliness of exploration decisions, reduces exploration risks, and improves decision-making efficiency.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a fracture-vug type carbonate rock fracture-vug reservoir reasoning method and device based on a knowledge graph. The device comprises an ontology construction module, a knowledge extraction module, a knowledge fusion module, a business rule module, a reasoning model module and a reservoir comprehensive evaluation model. Wherein the business rules comprise an oil reservoir analysis rule, a reservoir physical property rule, a logging interpretation rule and the like, the calculation model is a carbonate reservoir comprehensive reasoning model, and comprehensive reasoning analysis is performed on each fracture-cavity reservoir by combining the business rules of the business rule module with a carbonate fracture-cavity reservoir comprehensive reasoning method. And generating a carbonate rock fracture-cavity reservoir optimization scheme. According to the method, the exploration target optimization working efficiency of the carbonate fractured-vuggy reservoir can be improved, the pertinence, accuracy and timeliness of exploration decision making are improved, the exploration risk is reduced, and the decision making efficiency is improved.
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