新疆石油地质 ›› 2021, Vol. 42 ›› Issue (2): 238-245.doi: 10.7657/XJPG20210217

• 应用技术 • 上一篇    下一篇

顺北地区超深断控储集体地震识别与描述

刘军(), 李伟, 龚伟, 黄超   

  1. 中国石化 西北油田分公司 勘探开发研究院,乌鲁木齐 830011
  • 收稿日期:2020-05-07 修回日期:2020-09-21 出版日期:2021-04-01 发布日期:2021-04-02
  • 作者简介:刘军(1982-),男,山东青岛人,副研究员,地球物理勘探,(Tel)18999831287(E-mail) 408842381@qq.com
  • 基金资助:
    国家科技重大专项(2017ZX05005-004);中国石化科技部项目(P18040);中国石化科技部项目(P17057-9)

Seismic Identification and Description of Ultra-Deep Fault-Controlled Reservoirs in Shunbei Area

LIU Jun(), LI Wei, GONG Wei, HUANG Chao   

  1. Research Institute of Exploration and Development, Northwest Oilfield Company, Sinopec, Urumqi, Xinjiang 830011, China
  • Received:2020-05-07 Revised:2020-09-21 Online:2021-04-01 Published:2021-04-02

摘要:

顺北地区发育断控储集体,埋深大,储集空间复杂,储集体展布主要受深大型走滑断裂控制,准确刻画断控储集体空间位置、储集体体积和储集体连通性,已成为断溶体油气藏勘探开发的主要难点。依据顺北地区走滑断裂的地质发育模式、断控储集体类型及地震响应特征,通过模型正演及井震结合分析,建立了走滑断裂带及断控储集体地震识别模式,开展储集体敏感地震属性分析,形成了针对断控储集体外部轮廓、内部不同类型储集体的一系列储集体预测技术。在此基础上,应用结构张量属性、增强相干属性、瞬时能量属性、杂乱属性以及相控波阻抗反演技术,对断控储集体边界及内部储集体进行表征,最终形成了顺北地区超深断控储集体地震识别技术。

关键词: 顺北地区, 走滑断裂, 断溶体油气藏, 正演模拟, 地震识别模式, 地震属性

Abstract:

Fault-controlled reservoirs in Shunbei area are deep in buried depth and complex in reservoir space. And their distribution is mainly controlled by deep and large strike-slip faults. So it is difficult to accurately describe their spatial position, volume and connectivity during exploration and development of the fault-karst reservoirs. According to the geological model of the strike-slip faults, and the types and seismic response characteristics of the fault-controlled reservoirs, we first establish seismic recognition patterns through forward modeling and well logging-seismic analysis for analyzing the sensitive seismic attributes of the reservoirs, and develop a series of technologies for predicting the outlines and interiors of the fault-controlled reservoirs. Then we characterize the outlines and interiors of the fault-controlled reservoirs based on the structural tensor, enhanced coherence, instantaneous energy and clutter attributes and phase-controlled wave impedance inversion. Finally, we provide the technology using seismic data to identify the ultra-deep fault-controlled reservoirs in Shunbei area.

Key words: Shunbei area, strike-slip fault, fault-karst reservoir, forward modeling, seismic recognition pattern, seismic attribute

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