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Data Science in Oil & Gas最新文献

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Applying Machine Learning Methods to Identify Injection Intervals Using DTS Data 应用机器学习方法识别DTS数据注入间隔
Pub Date : 2020-10-19 DOI: 10.3997/2214-4609.202054021
A. Sadretdinov, R. Valiullin, R. Yarullin
Summary The problem of determining the intervals of fluid loss in an injection horizontal well is solved. The chosen setting is one of the simplest from the point of view of the ongoing processes. The successful solution of the problem using machine learning methods should show the perspective of the approach for solving more complex problems. The chosen approach to solving the problem involves training models on a synthetic sample obtained using a thermohydrodynamic simulator. The results of the algorithm operation are demonstrated, which can be assessed as successful.
解决了水平井注水井失液层段的确定问题。从正在进行的流程的角度来看,所选择的设置是最简单的设置之一。使用机器学习方法成功解决问题应该显示出解决更复杂问题的方法的视角。所选择的解决问题的方法是在使用热流体模拟器获得的合成样品上训练模型。最后对算法的运行结果进行了验证,表明该算法是成功的。
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引用次数: 0
Metric for evaluating difference between seismic gathers 评价地震集差的度量
Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202054019
A. Arefina, R. Khudorozhkov, A. Kuvaev, D. Semin
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引用次数: 0
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Data Science in Oil & Gas
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