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| 基于多点地质统计学的数字岩心建模 |
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吴玉其1,2,林承焰1,2,任丽华1,2,闫伟超1,王杨1,2,陈仕臻1,2,由春梅3,张丽4
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(1.中国石油大学(华东)地球科学与技术学院,山东青岛 266580;2.山东省油藏地质重点实验室,山东青岛 266580;3.大庆油田有限责任公司勘探开发研究院,黑龙江大庆 163712;4.山东科技大学资源与土木工程系,山东泰安 271019)
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| 摘要: |
| 常用的数字岩心建模方法有X射线CT扫描法、模拟退火法和过程法。X射线CT扫描法虽然能够建立准确的三维数字岩心模型，但是其价格贵、周期长；模拟退火法和过程法能够降低建模成本提高建模效率，不过模拟退火法不能有效地表征孔隙结构的长距离连通性，过程法不适用于模拟成岩作用复杂的岩石。为了解决以上问题，提出基于多点地质统计学重构数字岩心模型的方法。以密西根盆地Waverly组的Berea砂岩为例，从X射线CT扫描法构建的Berea砂岩模型中提取两个1503体素的代表体积元，令个为训练图像，另个为真实模型；把真实模型的两张切片作为条件数据，使用多点地质统计学法重构出三维数字岩心模型。通过以变差函数、孔隙结构参数和单相流渗流参数为评价指标，对重构模型的准确性及该方法的可行性进行研究。结果表明：重构模型与真实模型的孔喉几何形态和拓扑结构具有较高的致性，证明了重构模型的准确性和多点地质统计学法建立数字岩心模型的可行性。 |
| 关键词: 数字岩心 多点地质统计学 孔隙结构 变差函数 孔隙网络模型 |
| DOI：10.3969/j.issn.1673-5005.2018.03.002 |
| 分类号:TE19 |
| 文献标识码:A |
| 基金项目:国家科技重大专项（2016ZX05054012，2017ZX05009001）；中国石油大学（华东）自主创新科研计划项目（18CX06024A） |
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| Digital core modeling based on multiple-point statistics |
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WU Yuqi1,2, LIN Chengyan1,2, REN Lihua1,2, YAN Weichao1, WANG Yang1,2, CHEN Shizhen1,2, YOU Chunmei3, ZHANG Li4
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(1.School of Geosciences in China University of Petroleum (East China), Qingdao 266580, China;2.Reservoir Geology Key Laboratory of Shandong Province, Qingdao 266580, China;3.Exploration and Development Research Institute of Daqing Oilfield Limited Company, Daqing 163712, China;4.Department of Resources and Civil Engineering in Shandong University of Science and Technology, Tai 'an 271019, China)
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| Abstract: |
| There are three commonly used digital core modeling methods:X-ray computed tomography scanning, simulated annealing and process-based method. Although the X-ray computed tomography scanning method can build an accurate 3D digital core model, it is expensive and time-consuming. The simulated annealing and process-based method can reduce the cost and improve the modeling efficiency, but the simulated annealing method cannot effectively characterize the long-range connectivity of the pore structure, and the process-based method is not suitable for simulating the rocks that have undergone complex diageneses. In order to solve these problems, a method of reconstructing digital core model based on multiple-point statistics was proposed. Taking as an example the Berea sandstone of the Waverly group in the Michigan Basin, two representative volume elements with the size of 1503 voxels were extracted from different locations of the Berea sandstone. One was set for the training image, the other for the real model. Two orthogonal two-dimensional slices were chosen from the real model as the conditioning data. The 3D digital rock models were reconstructed using multiple-point statistics. The variogram, pore structure parameters and percolation parameters of single phase flow experiment were applied as the evaluation indexes to validate the accuracy of the reconstructed models.The result shows that the reconstructed models agree well with the real model in the pore-throat geometry and topology features, which verifies the accuracy of the reconstructed models and feasibility of reconstructing digital core model using multiple-point statistics. |
| Key words: digital core multiple-point statistics pore structure variogram pore network model |
