There is a large amount of heterogeneous data distributed in various sources in the upstream of PetroChina. These data can be valuable assets if we can fully use them. Meanwhile, the knowledge graph, as a new emerging technique, provides a way to integrate multi-source heterogeneous data. In this paper, we present one application of the knowledge graph in the upstream of PetroChina. Specifically, we first construct a knowledge graph from both structured and unstructured data with multiple NLP (natural language progressing) methods. Then, we introduce two typical knowledge graph powered applications and show the benefit that the knowledge graph brings to these applications: compared with the traditional machine learning approach, the well log interpretation method powered by knowledge graph shows more than 7.69% improvement of accuracy.

中文翻译：

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PetroKG：中石油上游地区知识图谱的构建与应用

中石油上游存在大量异构数据分布在各个源头。如果我们能够充分利用它们，这些数据可以成为宝贵的资产。同时，知识图谱作为一种新兴的技术，提供了一种整合多源异构数据的方法。在本文中，我们介绍了知识图谱在中石油上游的一个应用。具体来说，我们首先使用多种 NLP（自然语言处理）方法从结构化和非结构化数据构建知识图谱。然后，我们介绍了两个典型的知识图谱驱动的应用程序，并展示了知识图谱给这些应用程序带来的好处：与传统的机器学习方法相比，基于知识图谱的测井解释方法的准确性提高了 7.69% 以上。