地学前缘 ›› 2015, Vol. 22 ›› Issue (6): 177-184.DOI: 10.13745/j.esf.2015.06.013

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叠后地质统计学反演在碳酸盐岩储层预测中的应用：以哈拉哈塘油田新垦区块为例

闫玲玲,刘全稳,张丽娟   

  1. 1. 西南石油大学 油气藏地质及开发工程国家重点实验室, 四川 成都 610500
    2. 西南石油大学 地球科学与技术学院, 四川 成都 610500
    3. 中国石油 塔里木油田分公司 勘探开发研究院, 新疆 库尔勒 841000
    4. 广东石油化工学院 石油工程学院, 广东 茂名 525000
    5. 中国石油 勘探开发研究院 廊坊分院 地下储库中心, 河北 廊坊 065007
  • 收稿日期:2014-10-29 修回日期:2015-01-26 出版日期:2015-11-15 发布日期:2015-11-25
  • 通讯作者: 刘全稳，男，教授，博士生导师。E-mail:liu005777@hotmail.com
  • 作者简介:闫玲玲(1978—)，女，博士研究生，主要从事油气田开发地质研究工作。E-mail:yll7245522@163.com
  • 基金资助:

    国家油气重大专项(2011ZX05004 - 004)

Poststack geostatistics inversion in the application of the carbonate rocks reservoir prediction: In Xinken area, Halahatang oil field as an example.

  1. 1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
    2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
    3. Exploration and Development Research Institute, PetroChina Tarim Oilfield Company, Korla 841000, China
    4. College of Petroleum Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
    5. Underground Gas Storage Center of Langfang Branch, Research Institute of Petroleum Exploration and Development, PetroChina, Lanfang 065007, China
  • Received:2014-10-29 Revised:2015-01-26 Online:2015-11-15 Published:2015-11-25

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摘要：

以叠后地质统计学反演方法为依托，重点论述了精细地质模型的建立、储层划分及统计学参数分析、地质统计学反演和等效孔隙度协模拟等关键技术。针对碳酸盐岩储层预测的难题进一步研究，系统地优化了反演的相关参数，通过井震精细标定，提高了储层预测的准确性。本次共有35口井参与试验,结合本区地质特征对总孔隙度大于1.8%的储层进行储层厚度和积分厚度定量分析。结果显示，储层及非储层的空间展布特征直观、清楚,与测井解释结果符合程度高，目的层段已钻井储层与叠后地质统计学反演的储层吻合率达80%以上，说明叠后地质统计学反演预测的远离井的储层分布合理，接近实际地质特征。反演结果具有较高的分辨能力，能更好地反映储层的非均质性，这是常规波阻抗反演无法实现的。

关键词: 哈拉哈塘油田, 新垦区块, 叠后地质统计学反演, 变差函数, 储层预测

Abstract:

Based on method of poststack geostatistical inversion, some key techniques, such as construction of the fine geological model, classification of reservoir and analysis of statistics parameters, equivalent simulation for porosity and geostatistical inversion，have been discussed in details. Aimed at the problem resulted from prediction of carbonate reservoir, the further study procedures which are to optimize systematically the relevant inversion parameters and their reasonable distribution in local reservoirs were carried out in order to get the better prediction precision through well seismic reservoir fine calibration. The prediction results showed this method performed well in spatial distribution of reservoir and nonreservoir; 35 wells were used to test the precision of inversion results; the accumulative thickness of the reservoir when their total porosity is above 1.8% was quantitatively analyzed combined with the local geologic features，it showed high conformity to the real situation of reservoir distribution. The conformity rate is over 80% between the prediction results and practical drilled reservoirs occurrence, so that the prediction results from poststackbased geostatistical inversion have the better precision and approach the actual geologic situation; it has better prediction identification between the reservoir and nonreservoir heterogeneity than conventional wave impedance inversion in practical field operation.

Key words: Halahatang oil field, Xinken area, poststack geostatistics inversion, variation function, reservoir prediction

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