新疆石油地质 ›› 2011, Vol. 32 ›› Issue (2): 176-178.

• 应用技术 • 上一篇    下一篇

用标准测井资料评价克拉玛依油田一西区储集层

辛玉霞1, 王志章1, 庞雄奇1, 张岩2, 林军3, 古力扎旦3, 李文峰3   

  1. 1.中国石油大学地球科学学院,北京 102200;
    2.北京石大油源科技开发有限公司,北京 102200;
    3.中国石油新疆油田分公司采油二厂,新疆克拉玛依 834000
  • 收稿日期:2010-12-06 发布日期:2020-08-11
  • 作者简介:辛玉霞(1976-),女,河南洛阳人,在读博士研究生,油藏地质,(Tel)13810357931(E-mail)xinxin_bj@126.com.

Evaluation of Reservoir Quality of Lower Karamay Formation in West District No.1 with Type Logs

XIN Yu-xia1, WANG Zhi-zhang1, PANG Xiong-qi1, ZHANG Yan2, LIN Jun3, GULIZADAN3, LI Wen-feng3   

  1. 1. Faculty of Geosciences, China University of Petroleum, Beijing 102200, China;
    2. Beijing Shida Oil Source Sci-Tech Development Company Ltd., Beijing 102200, China;
    3. No.2 Production Plant, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China
  • Received:2010-12-06 Published:2020-08-11

摘要: 克拉玛依油田一西区测井资料分为标准测井和综合测井两大类。大多数井均为标准测井,其资料品质差,所建立的孔、渗模型解释精度不高。针对此问题,提出对于没有综合测井曲线的井,采用神经网络的方法用标准测井曲线反演出其综合测井曲线,据以分岩性建立孔隙度、渗透率模型。用这种方法建立的模型要比直接用标准测井曲线反演的孔隙度、渗透率模型精度高,而且可以满足测井解释的要求。在此基础上,对一西区克拉玛依下亚组油藏进行了储集层质量评价。

关键词: 克拉玛依油田, 标准测井, 综合测井, 孔隙度模型, 渗透率模型, 储集层质量评价

Abstract: The type logs from west District No.1 in Karamay oilfield are classified as the normal logs and composite logs. The normal logs from most wells are poor in quality, so the porosity and permeability models developed by them are lower in interpretation accuracy. For this reason, this paper proposes that for wells without the composite logs, the normal logs can be inverted to composite logs by means of neural network method, by which the porosity and permeability models are developed on litholgy, thus satisfying the requirement of logging interpretation. On the basis of these, the reservoir quality evaluation the Lower Karamay formation in west District No.1 in Karamay oilfield is conducted.

Key words: normal log, composite log, porosity model, permeability model, reservoir evaluation

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