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Design and construction of the knowledge base system for geological outfield cavities classifications: An example of the fracture-cavity reservoir outfield in Tarim basin, NW China

机译:地质外田洞穴的知识库系统的设计与构建分类:塔姆盆地塔里木盆地骨折水库外场的一个例子

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Tahe oilfield, located in NW Tarim Basin, is one of the largest and most difficult fracture cavity reservoirs in the world. Different fracture cavities, different generated mechanisms, and different oil production capacities. In order to study the significant parameters that can characterize the categories of facture-cavity. This research adopted outfield manual measurement, 3D digital modeling technique to obtain characterization parameters. According to experienced geological survey, typical outcrops were selected, then scanned by UAV (Unmanned aerial vehicle). Consequently, 3D digital models, including real coordinates and parameter information, were established by Agisoft Photoscan. Through geological testing results, various combination characteristic patterns of relative categories were analyzed. By using digital measure tool, combined with manually measured data, the parameters were extracted from the 3D digital model (DM). Then an initial geological database was established. For furtherly analyzing the database, the mathematic statistics methods of multiple linear regression (MLR), neural network technique (NNT) and discriminative classification technique (DCT) were applied. Using software of SPSS statistics 17.0, more than 200 groups of geological data (various categories of fracture-cavity) were optimally processed. Consequently, the significant characteristic parameters were interpreted to determine diverse categories. The results showed that: (1) cavity width, height, fracture length and cavity aspect ratio were significant parameters to classify runoff cavity categories. (2) Fault-controlled cavities could be accurately classified by fracture length and fracture density. (3) The main cavity categories could be distinguished by cavity width, cavity height and fracture density. Performances of the approach have been examined with 10 percentages of the samples, and a good agreement performed in the simulated results, and anastomosis rate was more than 80%. The researched results have critical guiding significance to evaluate types of fracture-cavity, develop and explore of fracture-cavity reservoirs. The construction technique of knowledge base can be applied for diverse fracture-cavity reservoirs in the various formations in different areas in the world.
机译:Tahe Oilfield位于NW Tarim盆地,是世界上最大,最困难的骨折腔体系之一。不同的骨折腔,不同的产生机制和不同的油生产能力。为了研究能够表征实体腔类别的重要参数。本研究采用外场手动测量,3D数字建模技术获取表征参数。根据经验丰富的地质调查,选择了典型的露头,然后由UAV(无人机车辆)扫描。因此,Agisoft Photoscan建立了3D数字模型,包括实际坐标和参数信息。通过地质检测结果,分析了相对类别的各种组合特征模式。通过使用数字测量工具,组合手动测量数据,从3D数字模型(DM)中提取参数。然后建立了初始地质数据库。为了进一步分析数据库,应用了多元线性回归(MLR),神经网络技术(NNT)和鉴别分类技术(DCT)的数学统计方法。使用SPSS统计软件17.0,最佳地处理了200多个地质数据(各类骨折腔)。因此,解释了显着的特征参数以确定各种类别。结果表明:(1)腔宽,高度,断裂长度和腔宽高比是分类径流腔类别的重要参数。 (2)故障控制的空腔可以通过断裂长度和断裂密度准确分类。 (3)主腔类别可以通过腔宽,腔高度和断裂密度来区分。已经用10个百分点的样品检查了这种方法的性能,并且在模拟结果中进行了良好的一致性,吻合率超过80%。研究结果具有评价骨折,开发和勘探裂缝储层的类型的指导性意义。知识库的施工技术可以应用于世界各地的各种形成中的各种裂缝腔体系。

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