石油与天然气地质 ›› 2020, Vol. 41 ›› Issue (2): 442-448.doi: 10.11743/ogg20200220

• 方法技术 • 上一篇    

润湿性影响下低渗透储层地层水矿化度预测——以鄂尔多斯盆地陇东地区三叠系延长组长81段为例

冯程1(), 樊海涛2, 石玉江3, 陈雪昆4, 李高仁3, 毛志强5,*()   

  1. 1. 中国石油大学(北京)克拉玛依校区 石油学院, 新疆 克拉玛依 834000
    2. 中国石油 新疆油田分公司 勘探开发研究院, 新疆 克拉玛依 834000
    3. 中国石油 长庆油田分公司, 陕西 西安 710018
    4. 中国石油 新疆油田分公司 采油一厂, 新疆 克拉玛依 834000
    5. 中国石油大学(北京) 地球物理学院, 北京 102249
  • 收稿日期:2018-04-04 出版日期:2020-04-01 发布日期:2020-04-03
  • 通讯作者: 毛志强 E-mail:fcvip0808@126.com;maozq@cup.edu.cn
  • 作者简介:冯程(1988-),男,博士、副教授,岩石物理,复杂及非常规储层测井评价。E-mail:fcvip0808@126.com
  • 基金资助:
    新疆维吾尔自治区自然科学基金青年基金(2017D01B57)

Prediction for the formation water salinity in low-permeability reservoirs with complex wettability: A case study of the Triassic Chang 81 member, Longdong area, Ordos Basin

Cheng Feng1(), Haitao Fan2, Yujiang Shi3, Xuekun Chen4, Gaoren Li3, Zhiqiang Mao5,*()   

  1. 1. Faculty of Petroleum, China University of Petroleum(Beijing) at Karamay, Karamay, Xinjiang 834000, China
    2. Research Institute of Exploration and Development of Xinjiang Oilfield Branch Company Ltd., PetroChina, Karamay, Xinjiang 834000, China
    3. Changqing Oilfield Branch Company Ltd., PetroChina, Xi'an, Shannxi 710018, China
    4. No.1 Oil Production Plant of Xinjiang Oilfield Branch Company Ltd., PetroChina, Karamay, Xinjiang 834000, China
    5. College of Geophysics, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2018-04-04 Online:2020-04-01 Published:2020-04-03
  • Contact: Zhiqiang Mao E-mail:fcvip0808@126.com;maozq@cup.edu.cn

摘要:

测试资料表明,鄂尔多斯盆地陇东地区低渗透储层地层水矿化度变化很大,且储层受到复杂润湿性影响,基于自然电位和储层电阻率~孔隙度组合预测地层水矿化度等经典方法均失效,给储层含油饱和度预测带来巨大困难。因此,在假设储层地层水矿化度与邻近泥岩层束缚水矿化度近似相等的前提下,首先选取邻近泥岩层中稳定部分(高自然伽马、未扩径和低电阻率),读取电阻率和声波时差数据。其次,完成邻近泥岩层声波时差数据的压实校正。然后,通过电阻率和校正后声波时差交会图,实现对不同矿化度下(0~20,20~40,40~60以及大于60 g/L)邻近泥岩层识别,进而提出一种利用邻近泥岩信息确定储层地层水矿化度的方法,预测结果得到了实验分析数据的验证。最后,利用该方法预测了106口井长81储层地层水矿化度资料,结合69份地层水分析矿化度,绘制了陇东地区长81储层地层水矿化度平面分布等值线图,有助于地层水矿化度的准确选择和平面分布规律研究。同时,为润湿性影响下的低渗透储层地层水矿化度预测提供了一种可行的解决办法,并具有普遍适用性。

关键词: 湿润性, 地层水矿化度, 低渗透储层, 延长组, 鄂尔多斯盆地

Abstract:

The testing data indicate that formation water salinity of low-permeability reservoirs varies in a wide range.What's worse, under the impact of complex wettability, classical methods including spontaneous potential and a combination of reservoir resistivity and porosity fail to predict formation water salinity.This leads to great difficulty in the prediction of reservoir oil saturation.To this end, we proposed a new method to predict the formation water salinity with the results verified by experiments.The new method is shown as follows:assuming the salinity of formation water was approximately equal to that of irreducible water in adjacent mudstones, we carried out resistivity and acoustic logging in the relatively stable parts with high natural gamma ray, without borehole enlargement and low resistivity in adjacent mudstones; then conducted compaction correction of the interval transit time; and at last identified the mudstones of diverse salinity (0-20 g/L, 20-40 g/L, 40-60 g/L and >60 g/L) via cross-plotting the resistivity vs.corrected interval transit time.In practice, a contour map of formation water salinity of the study area was drawn by using the formation water salinity of Chang 81 member in 106 wells predicted by this method and in combination with the test results of 69 formation water samples.This is conducive to the selection of formation water salinity and the planar distribution pattern study of salinity.In addition, the newly proposed method in the study serves as a feasible method for the prediction of formation water salinity in low-permeability reservoirs with complex wettability, and is universally applicable.

Key words: wettability, formation water salinity, low-permeability reservoir, Yanchang Formation, Ordos Basin

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