新疆石油地质 ›› 2023, Vol. 44 ›› Issue (2): 136-143.doi: 10.7657/XJPG20230202

• 油气勘探 • 上一篇    下一篇

玛湖凹陷乌尔禾组致密砂砾岩沸石特征及储集层识别

秦志军2(), 操应长2, 毛锐, 张浩, 冯程3   

  1. 1.中国石油 新疆油田分公司 a.勘探开发研究院;b.勘探事业部,新疆 克拉玛依 834000
    2.中国石油大学(华东) 地球科学与技术学院,山东 青岛 266580
    3.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
  • 收稿日期:2022-06-23 修回日期:2022-09-24 出版日期:2023-04-01 发布日期:2023-03-31
  • 作者简介:秦志军(1973-),男,河南鹿邑人,高级工程师,油气地质,(Tel)13999317701(E-mail)qinzj@petrochina.com.cn
  • 基金资助:
    国家自然科学基金青年科学基金(42004089);新疆维吾尔自治区自然科学基金(2021D01E22)

Characteristics and Identification of Zeolite-Bearing Tight Sandy Conglomerate Reservoirs in Wuerhe Formation,Mahu Sag

QIN Zhijun2(), CAO Yingchang2, MAO Rui, ZHANG Hao, FENG Cheng3   

  1. 1. PetroChina Xinjiang Oilfield Company, a.Research Institute of Exploration and Development; b.Exploration Utility Department, Karamay, Xinjiang 834000, China
    2. School of Earth Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, China
    3. Petroleum Institute, Karamay Campus, China University of Petroleum (Beijing), Karamay, Xinjiang 834000, China
  • Received:2022-06-23 Revised:2022-09-24 Online:2023-04-01 Published:2023-03-31

摘要:

准噶尔盆地玛湖凹陷二叠系乌尔禾组致密砂砾岩储集层中发育沸石,岩石物理性质异常,为致密砂砾岩储集层的含油性评价以及产能预测带来了极大的困难。为此,开展铸体薄片、扫描电镜等实验,分析沸石的产状、与其他矿物的共生关系、沸石胶结物的成岩序列等地质特征。通过岩心与测井资料的综合分析,明确了含沸石致密砂砾岩储集层具有低密度、高中子孔隙度和高声波时差的测井响应特征,并利用中子与密度孔隙度差,中子与声波时差孔隙度差进行交会,建立了含沸石致密砂砾岩储集层的识别图版;基于归一化后的三孔隙度参数,建立了沸石含量的定量预测模型,并通过未参与建模的岩心沸石含量与模型预测沸石含量进行对比,证实了模型预测精度较高;基于132口井的含沸石致密砂砾岩储集层识别结果,确定了研究区乌尔禾组含沸石致密砂砾岩储集层发育带。

关键词: 准噶尔盆地, 玛湖凹陷, 乌尔禾组, 致密砂砾岩储集层, 沸石, 地质特征, 测井识别

Abstract:

Zeolite is found in the tight sandy conglomerate reservoirs of the Permian Wuerhe formation in the Mahu sag, Junggar basin, leading to great difficulties in oil-bearing property evaluation and productivity estimation for the tight sandy conglomerate reservoirs due to their abnormal reservoir physical properties. The experiments by using casting thin sections and scanning electron microscope were carried out to analyze the geological characteristics of zeolite, including the occurrence, symbiotic relationship with other minerals, and diagenetic sequence of zeolite cement. Through the analysis of core and logging data, it is clear that the zeolite-bearing tight sandy conglomerate reservoirs show the logging responses featured with low density, high neutron porosity and high acoustic slowness. By intersecting the difference between neutron logging porosity and density logging porosity with the difference between neutron logging porosity and acoustic slowness porosity, the chart for identifying the sandy conglomerate reservoirs containing zeolites was established. Based on the normalized tri-porosity logging parameters, a model for quantitatively predicting zeolite content was built. By comparing the zeolite content from core analysis with the content predicted by the model, it is confirmed that the prediction accuracy of the model is high. Based on the identification results of the zeolite-bearing tight sandy conglomerate reservoirs in 132 wells, the development zones of tight sandy conglomerate reservoirs containing zeolites in the Wuerhe formation in the study area were determined. The dissolution of zeolites can create a lot of accommodations for hydrocarbon accumulation. The study results provide reliable guidance for predicting favorable areas of tight sandy conglomerate reservoirs in the study area.

Key words: Junggar basin, Mahu sag, Wuerhe formation, tight sandy conglomerate reservoir, zeolite, geological characteristic, logging identification

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