天然气勘探与开发2024，Vol.47Issue(4)：55-62,8.DOI:10.12055/gaskk.issn.1673-3177.2024.04.006
优化的AI断裂识别技术在川中北斜坡的应用
Optimized AI identification for faults in northern slope,central Sichuan Basin
摘要
Abstract
The latest studies suggest strike-slip faults developed in northern slope of central Sichuan Basin.With steep plane and small throw,these faults are not apparent.It is hard to rapidly and accurately identify them running through targets of the deep-seated Lower Paleozoic due to low signal-to-noise ratio(SNR)of seismic data.So,an optimized AI technique has been used for fault identification.Firstly,background simulation is performed to obtain the residual error between local background energy data and original seismic data,thereby enhancing the signal manifest of minor faults beneath stratigraphic reflection.Secondly,the SNR is improved by means of structure-oriented filtering which makes both continuity of seismic event and fault features more pronounced.Finally,AI technique is used for this identification.Results demonstrate that this technique is not only greatly time saving in artificial interpretation,but ex-hibits strong noise resistance for redundant suppression with effect,improves the SNR,identifies the minor faults that are difficult to be detected using conventional attributes,and makes the prediction on strike-slip faults'distribution and intersection even better.关键词
川中古隆起/北斜坡地区/下古生代/走滑断裂/AI断裂识别/优化/微小断裂Key words
Central Sichuan paleouplift/Northern slope/Lower Paleozoic/Strike-slip fault/AI fault identification/Optimization/Mi-nor fault引用本文复制引用
侯宇,刘定锦,雷开强,杨飞,黎枫佶,陈华,张雨濛,苟思,司若凡..优化的AI断裂识别技术在川中北斜坡的应用[J].天然气勘探与开发,2024,47(4):55-62,8.基金项目
中国石油东方公司科研项目(编号:11-03-2021). （编号:11-03-2021）
