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Multi-parameter quantitative assessment of 3D geological models for complex fault-block oil reservoirs

机译:复杂断块油藏3D地质模型的多参数定量评估

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In the field of 3D geologic modeling, researchers often pay more attention to modeling methods and workflows, but neglect the quantitative evaluation of models. If the evaluation is narrowed to the same reservoir type, the comparability and practicality of quantitative assessment will be emerging. The evaluation system should include three parts: data verification, geological understanding and process check. Data verification mainly involves testing the accuracy of local prediction with actual data, and geological understanding is to examine whether the global estimation honors geological principles and prior insights. Process check is also indispensable to avoid occasionality. To this end, we produced a set of assessment criteria, taking complex fault-block sandstone oil reservoir as an example. To be specific, thirteen characteristic parameters were totally selected, setting weights according to their rated importance, formulating three-level evaluation standards in a centesimal system for each characteristic parameter, and obtaining the final assessment based on the cumulative score. The results indicate that such evaluation can not only access the quality of the model objectively and comprehensively, but also identify the aspects in need of improvement through the deduction items.
机译:在3D地质建模领域,研究人员通常更加关注建模方法和工作流程,而忽略了模型的定量评估。如果将评估范围缩小到相同的储层类型,则定量评估的可比性和实用性将会出现。评估系统应包括三个部分:数据验证,地质了解和过程检查。数据验证主要涉及用实际数据测试局部预测的准确性,而对地质的了解是要检查整体估算是否符合地质原理和先验见识。为了避免偶然性,过程检查也是必不可少的。为此,我们以一套复杂的断块砂岩油藏为例,制定了一套评估标准。具体而言,总共选择了13个特征参数,根据它们的额定重要性设置权重,在百分制中为每个特征参数制定三级评估标准,并基于累积得分获得最终评估。结果表明,这样的评估不仅可以客观,全面地获取模型的质量,而且可以通过推导项目确定需要改进的方面。

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