石油地球物理勘探2024,Vol.59Issue(4) :837-847.DOI:10.13810/j.cnki.issn.1000-7210.2024.04.021

高精度智能断层预测技术及应用

High-precision fault prediction technologies and applications

张希晨 韩瑞冬 杜长江 李磊 陈茂山 冯佳梦
石油地球物理勘探2024,Vol.59Issue(4) :837-847.DOI:10.13810/j.cnki.issn.1000-7210.2024.04.021

高精度智能断层预测技术及应用

High-precision fault prediction technologies and applications

张希晨 1韩瑞冬 1杜长江 1李磊 1陈茂山 1冯佳梦1
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作者信息

  • 1. 中国石油集团东方地球物理公司,河北涿州 072751;油气勘探计算机软件国家工程研究中心,河北涿州 072751
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摘要

利用断层敏感属性识别断层的精度和适用性有限,主要可识别主干大尺度断层.对于中、小尺度断层,由于欠缺足够的分辨率、连续性,预测的断层数量不准,如果仅依靠单一属性预测断层的可信度较低.此外,长期以来断层解释以人工为主,严重影响工作效率.为此,为了突破单一方法的极限,从而识别更多的断层,改善断层预测的分辨率和连续性,消除"双边界"效应,创建了高精度人工智能断层预测流程,以逐级提升断层解释精度和效率.首先,开展叠后地震资料预处理,提高原始地震数据的品质,为生成高精度断层属性建立基础;其次,进行人工智能断层预测,为了进一步提升预测精度,对人工智能预测结果进行"断层增强—骨架化—蚂蚁体"处理;再次,利用多属性融合丰富多尺度断层信息;最后,依托高精度断层预测结果,结合智能化技术提高断层解释效率.将高精度人工智能断层预测流程用于渤海湾盆地X区实际资料,预测结果表明,剖面正断层以阶梯状、"Y"式组合为主,大部分为SE倾向,与断陷同期形成.平面上断层优势方位为NE向,与近SN向次级断层构成"梳状"组合,表明该区发生伸展变形的同时,可能遭受左旋走滑作用.

Abstract

Using fault-sensitive attributes to identify faults is limited in accuracy and applicability,mainly able to identify major large-scale faults.As medium and small-scale faults lack sufficient resolution and continuity,the predicted number of faults is inaccurate.The credibility of predicting faults solely relying on a single attribute is relatively lower.In addition,for a long time,fault interpretation has been mainly done manually,seriously affect-ing working efficiency.To overcome the limitations of a single method,thus identifying more fault layers,im-proving the resolution and continuity of fault prediction,and eliminating the"double boundary"effect,this pa-per creates a high-precision artificial intelligence fault prediction process to gradually improve the accuracy and efficiency of fault interpretation.Firstly,post-stack seismic data preprocessing is carried out to improve the quality of original seismic data and establish a foundation for generating high-precision fault attributes.Sec-ondly,artificial intelligence fault prediction is carried out to further improve the prediction accuracy and process the artificial intelligence prediction results in the"fault enhancement-skeletonization-ant body"way.Again,multi-attribute fusion is utilized to enrich multi-scale fault information.Finally,with high-precision fault predic-tion results and intelligent technology,the efficiency of fault interpretation is improved.The high-precision arti-ficial intelligence fault prediction process was applied to the actual data of Zone X in the Bohai Bay Basin,and the results showed that the profile normal faults are mainly composed of stepped and Y-shaped combinations.Most of them are SE orientation and form simultaneously with the fault depression.The dominant orientation of the fault on the plane is NE,and forms a comb-like combination with secondary faults in the near SN direc-tion,indicating that the area may have undergone sinistral strike slip while deforming extensionally.

关键词

断层预测/人工智能/断层增强处理/多属性融合

Key words

fault prediction/artificial intelligence/fault enhancement processing/multi-attribute fusion

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基金项目

中国石油科技重大专项(2021ZG03)

&&(2023ZZ05)

出版年

2024
石油地球物理勘探
东方地球物理勘探有限责任公司

石油地球物理勘探

CSTPCDCSCD北大核心
影响因子:1.766
ISSN:1000-7210
参考文献量15
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