西南石油大学学报(自然科学版) ›› 2017, Vol. 39 ›› Issue (6): 19-24.DOI: 10.11885/j.issn.1674-5086.2016.06.29.04

• 地质勘探 • 上一篇    下一篇

欧利坨子地区粗面岩预测方法研究

董文波   

  1. 中国石油辽河油田分公司勘探开发研究院, 辽宁 盘锦 124010
  • 收稿日期:2016-06-29 出版日期:2017-12-01 发布日期:2017-12-01
  • 通讯作者: 董文波,E-mail:dongwenbo.163@163.com
  • 作者简介:董文波,1986年生,男,满族,辽宁盘锦人,工程师,硕士,主要从事地震资料采集、解释及储层预测方面的研究工作。E-mail:dongwenbo.163@163.com
  • 基金资助:
    国家自然科学基金(41172145);中国石油天然气股份有限公司科技专项(2012E3001)

Study on Trachyte Prediction Methods in the Oulitouzi Area

DONG Wenbo   

  1. Research Institute of Exploration and Development, Liaohe Oilfield Branch Company, PetroChina, Panjin, Liaoning 124010, China
  • Received:2016-06-29 Online:2017-12-01 Published:2017-12-01

摘要: 探索针对粗面岩分布的预测方法可为粗面岩油气藏的勘探开发提供依据。以粗面岩地球物理响应特征分析为基础,联合应用多参数岩性反演和波阻抗反演技术等对粗面岩进行预测。结果表明,研究区粗面岩具有低声波时差、高密度、高自然伽马的测井响应特征,据此可以将粗面岩与周围其他岩性进行区别;联合多参数岩性反演与纵波阻抗反演技术可以实现粗面岩体分布的预测,当反演结果同时满足自然伽马大于95 API、波阻抗大于1.0×107 kg/(m2·s)时可确定为粗面岩发育区。钻井证实了预测结果的可靠性。

关键词: 辽河拗陷, 欧利坨子, 粗面岩, 多参数岩性反演, 波阻抗反演

Abstract: Research on trachyte distribution prediction methods can provide a basis for the exploration and exploitation of trachyte gas and oil reservoirs. Trachyte predictions were made based on the analysis of its geophysical response characteristics using multi-parameter lithology inversion combined with a wave impedance inversion technique. The results of well logging showed that the trachyte in this area is characterized by low-time lag, high-density, and high natural gamma logging response characteristics, which can be used to distinguish trachyte from the surrounding lithology. The combination of the multiparameter lithology with longitudinal wave impedance inversion technology allows the prediction of the distribution of trachyte rock mass. The inversion results showing that the natural gamma and wave impedance exceed 95 API and 1.0×107 kg/(m2·s), respectively, confirm that a tracheae development area exists. The reliability of the prediction results was confirmed through drilling.

Key words: Liaohe Depression, Oulitouzi, trachyte, multi-parameter lithology inversion, wave impedance inversion

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