Geostatistical modeling for fine reservoir description of Wei2 block of Weicheng oilfield, Dongpu depression, China

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• 作者：Longlong Liu ; Jinliang Zhang ; Jinkai Wang ; Cunlei Li…
• 关键词：Stochastic modeling ; Truncated Gaussian simulation ; Structural modeling ; Facies ; controlled modeling ; Reservoir physical properties
• 刊名：Arabian Journal of Geosciences
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：8
• 期：11
• 页码：9101-9115
• 全文大小：7,774 KB
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• 作者单位：Longlong Liu (1)
  Jinliang Zhang (1)
  Jinkai Wang (1)
  Cunlei Li (1)
  Jiangtao Yu (2)
  Guangxue Zhang (1)
  Zhongli Fan (1)
  Gaoqun Wei (1)
  Zhongqiang Sun (1)
  Huanhuan Xue (1)
  Tao Yu (1)
  Guangqun Wang (1)
  
  1. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, 266510, China
  2. Energy Engineering College, Longdong University, Qingyang, 745000, China
  
• 刊物类别：Earth and Environmental Science
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538

文摘

The Wei2 block of Weicheng oilfield is characterized by complicated structure mainly caused by high degree of fault development. Multiple reservoir types are found in this block and the reservoir heterogeneity is severe. The oil and gas reservoirs have already stepped into the stagnant stage of a great water-cut degree together with a rapid production decline rate. Thereby, both stabilizing the oil and gas production and optimizing adjustment for further exploitation make it urgent for geomodelers to build a useful model to predict the inter-well parameters and the distribution of the remaining oil and gas. A three-dimensional geological model established with the help of stochastic modeling technique may provide a perfect window and carrier for fine structure interpretation and reservoir heterogeneity description, compared with a traditional two-dimensional model. Hence, based on stratigraphical layering points, significant surfaces and fault points as well seismic interpretation, an integrated structure model is developed. Using the truncated Gaussian simulation and taking the existing geological maps as references, the sedimentary microfacies model was successfully constructed. Through the use of sequential Gaussian simulation method and the facies-controlled modeling method, the reservoir physical properties are populated. Meanwhile, the comparison between facies-controlled and non-facies-controlled property models indicates that the former is more loyal to previous researching and the representation of heterogeneity is ideal. Finally, the ideas of sample density and reserves fitting are proposed to evaluate the practicability and accuracy of the property models.