一种局部寻优智能定井的方法和装置
By using a pixel grid parameter combination constraint method based on an electronic sand table in oil exploration, the problem of effectively avoiding obstacles and reducing construction risks in existing technologies has been solved, achieving optimal shot point layout and improving construction efficiency.
CN117348057BActive Publication Date: 2026-07-17CHINA NAT PETROLEUM CORP +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA NAT PETROLEUM CORP
- Filing Date
- 2022-06-28
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies have failed to effectively avoid obstacles and reduce construction risks in oil exploration, resulting in low construction efficiency and an inability to find the optimal location for blasting points.
Method used
By selecting multiple pixel grids based on an electronic sand table, the parameter information of each grid, such as terrain risk value, lithological attribute value, obstacle attribute value and distance factor, is determined, and combined constraints are applied to optimize the well location.
Benefits of technology
This approach achieves improved construction efficiency and finds the optimal location for blasting points while avoiding obstacles and reducing construction risks.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN117348057B_ABST
Abstract
本发明提供一种局部寻优智能定井的方法和装置，涉及石油勘探地震技术领域。包括：基于电子沙盘，选择多个像素网格；根据多个像素网格，确定每个像素网格的参数信息，根据地形风险值、岩性属性值、障碍属性值以及距离因子，对每个像素网格进行组合约束，得到局部最优定井的位置。本发明充分考虑到地形风险、地物风险、距离因子、岩性属性等多方面的因素，将这些因素结合起来共同约束以此来寻找最优炮点。本发明的方法，不仅能更好地规避障碍物，还能在规避各类风险和跨越障碍的基础上，同时实现布设炮点(即最优定井的位置)的局部寻优智能化，整体上降低了施工风险，提高了施工效率，具有较好的实用性。
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