Geostatistical modeling for fine reservoir description of Wei2 block of Weicheng oilfield, Dongpu depression, China
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ORIGINAL PAPER
Geostatistical modeling for fine reservoir description of Wei2 block of Weicheng oilfield, Dongpu depression, China 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
Received: 12 October 2014 / Accepted: 13 April 2015 # Saudi Society for Geosciences 2015
Abstract 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
* Jinliang Zhang [email protected] 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
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. Keywords Stochastic modeling . Truncated Gaussian simulation . Structural modeling . Facies-controlled modeling . Reservoir physical properties
Introduction The content of geostatistics is defined and extended by key words such as numerical evaluation, spatial distribution, stochastic modeling, and reservoir characterization (Deutsch 2002; Sarkar et al. 2012; Vishal et al. 2013, 2015). Geostatistics provides stochastic approaches to integrate data at different scales and quantify the uncertainty at unsampled locations, and hence can provide meaningful results for model building and quantitatively assess uncertainty of risk management (Yarus and Chambers 2006). In recent years, to recover oil and gas producti
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