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天然气地球科学 ›› 2011, Vol. 22 ›› Issue (3): 554–560.doi: 10.11764/j.issn.1672-1926.2011.03.554

• 天然气勘探 • 上一篇    下一篇

利用地震资料预测和评价烃源岩

顾礼敬, 徐守余, 苏劲, 赵杰, 韩芮   

  1. 1.中国石油大学(华东）地球资源与信息学院，山东 青岛 266555；
    2.中国石油勘探开发研究院，北京 100083
  • 收稿日期:2009-09-28 修回日期:2011-01-16 出版日期:2011-06-10 发布日期:2011-06-10
  • 通讯作者: 顾礼敬gulj0528@126.com E-mail:gulj0528@126.com
  • 作者简介:顾礼敬(1985-），男，江苏东台人，硕士研究生，主要从事地震资料解释与石油地质研究.
  • 基金资助:

    国家油气专项“四川、塔里木、鄂尔多斯盆地及青藏、南方等地区海相油气资源潜力、油气成藏与富集规律研究”(编号：2008ZX05004-003）资助.

Muddy Hydrocarbon Source Rock Prediction and Evaluation with Seismic Data

GU Li-Jing, XU Shou-Yu, SU Jin, ZHAO Jie, HAN Rui   

  1. 1.China University of Petroleum，College of Earth Resource and Information，Qingdao 266555，China；
    2.Research Institution of Petroleum Exploration and Development，PetroChina, Beijing 100083，China.
  • Received:2009-09-28 Revised:2011-01-16 Online:2011-06-10 Published:2011-06-10

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摘要：

对探井资料较少的地区开展烃源岩的准确预测和资源评价一直是石油地质学界的难题；而地震资料中蕴含的烃源岩的大量信息一直未被有效重视起来。尝试利用地震资料对泥质烃源岩开展预测和评价工作，并取得较好效果。首先,通过对地震资料作层序地层格架及体系域分析，识别出烃源岩发育段；其次，利用地震资料作地震速度岩性分析，从而可以实现烃源岩厚度的准确预测,烃源岩横向分布可以通过地震层序及体系域边界划分和地震反射特征分析进行确定；最后，通过目标层段的层速度计算出孔隙度，再由孔隙度的幂函数关系定量估算烃源岩的热演化程度，并实现生烃量的计算。因此，利用地震资料可以在少井探区甚至无井探区对烃源岩的宏观分布特征和品质进行预测与评价，从而减少在盆地早期勘探阶段和深部无井地区的勘探成本和钻探风险。

关键词: 烃源岩, 地震资料, 泥质烃源岩, 烃源岩评价

Abstract:

It is always hard to make a prediction in an area with less well. This paper will describe how to realize muddy source rock prediction and evaluation by using seismic data fully. Muddy source rock identification can be realized through wave reflection characteristics with seismic data. Source rock thickness prediction can be realized by seismic velocity-lithology analysis with seismic data, while source rock horizontal distribution can be determined by the border division and seismic reflection characteristics of seismic sequence and system tract. All of the source rock hydrocarbon calculation, maturity prediction and maturity evolution stage prediction could be studied with seismic data. In areas with few wells or even non\|well, source rock distribution and quality could be predicted and evaluated by seismic data, thereby reducing the exploration costs in the early exploration stage and deep exploration greatly. Considering the influences of low seismic resolution, poor accuracy and etc., this paper combined those with well logging information and geochemical analysis of coring samples, in order to determine the spatial distribution and quality of source rocks.

Key words: Source rock, Seismic data, Muddy hydrocarbon source rock, Source rock evaluation.

中图分类号: 

  • TE132

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