基于高阶趋势面约束的断层阴影区构造恢复研究——以TZ油田为例
蒋玉婷1,2汪生好1,2李 黎1,2杨小江1,2刘 振1,2陈 晨1,2

1.中海石油(中国)有限公司深圳分公司,深圳 518054;2.中海石油深海开发有限公司,深圳 518054

断层阴影;倾角属性;高阶趋势面约束;构造恢复

High-Order Trend Surface-Constrained Structural Restoration in Fault Shadow Zones—A Case Study of Oilfield TZ
JIANG Yuting1,2,WANG Shenghao1,2,LI Li1,2,YANG Xiaojiang1,2,LIU Zhen1,2,CHEN Chen1,2

1.Shenzhen Branch, CNOOC China Limited , Shenzhen 5180054, China;2.CNOOC Deepwater Development Limited , Shenzhen 518054, China

Fault shadow;Dip Attribute;High-order trend surface constraints;Construction recovery.

DOI: 10.13512/j.hndz.2026.02.20

备注

TZ油田构造受断层阴影带速度畸变影响,导致地震同相轴出现非构造性的“上拉”或“下陷”扭曲现象,使得构造落实存在很大不确定性,影响开发井的实施。针对上述问题,提出基于高阶趋势面约束的构造校正方法:首先根据倾角扫描技术提取地层产状参数,定量表征受速度畸变引起的畸变构造影响范围;再基于畸变区与正常区构造具有统一趋势特征的规律,通过拟合正常区地层趋势面来校正畸变区内构造,以此实现恢复真实地层构造的目的。此方法操作便捷、效率高,有效避免了对耗时且昂贵的地震资料重新采集处理的依赖,通过在TZ油田的实际应用取得了很好的效果,实钻深度误差控制在5%以内,证实了方法的可行性及可靠性,有效降低了开发井的钻井误差。
The structure of TZ Oilfield is affected by velocity distortion in fault shadow zones,leading to non-struc⁃tural“uplift”or“sag”distortions in seismic events. This introduces significant uncertainty in structural interpre⁃tation,which affects the deployment of development wells.To address this issue,this paper proposes a trend sur⁃face-constrained structural correction method. First,the formation attitude parameters are extracted using dip-scan⁃ning technology to quantitatively characterize the extent of distortion caused by velocity anomalies. Then,based on the principle that the distorted and normal zones share a unified structural trend, the method fits a trend surface from the normal zone to correct the distorted area,thereby restoring the true formation structure.This approach is ef⁃ficient and easy to implement,effectively eliminating the need for time-consuming and costly seismic data reacqui⁃sition and reprocessing. Its application in TZ Oilfield has yielded excellent results,with actual drilling errors con⁃trolled 5%, confirming the method’s feasibility and reliability in reducing well placement deviations for develop⁃ment wells.
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