Lu Cai, Xu Xinran, Zhang Bingbin
School of Information and Communication Engineering, University of Electronic and Science Technology of China, Chengdu, China.
School of Resources and Environment, University of Electronic and Science Technology of China, Chengdu, China.
Sci Rep. 2024 Feb 27;14(1):4704. doi: 10.1038/s41598-024-55115-4.
The uncertainty of structural interpretation complicates the practical production and application of data-driven complex geological structure modeling technology. Intelligent structural modeling excavates and extracts structural knowledge from structural interpretation through human-machine collaboration and combines structural interpretation to form a new model of complex structural modeling guided by knowledge. Specifically, we focus on utilizing knowledge rule reasoning technology to extract topological semantic knowledge from interpretive data and employ knowledge inference to derive structural constraint information from complex geological structure models, thus effectively constraining the 3D geological structure modeling process. To achieve this, we develop a rule-based knowledge inference system that derives theoretical models consistent with expert cognition from interpretive data and prior knowledge. Additionally, we represent the extracted knowledge as a topological semantic knowledge graph, which facilitates computer recognition and allows estimation of intersection lines during 3D geological modeling, resulting in the creation of accurate models. The applicability of our proposed method to various complex geological structures is validated through application tests using real-world data. Furthermore, our method effectively supports the realization of intelligent structure modeling in real working area.
构造解释的不确定性使数据驱动的复杂地质构造建模技术的实际生产和应用变得复杂。智能构造建模通过人机协作从构造解释中挖掘和提取构造知识，并结合构造解释形成以知识为导向的复杂构造建模新模型。具体而言，我们专注于利用知识规则推理技术从解释数据中提取拓扑语义知识，并运用知识推理从复杂地质构造模型中推导构造约束信息，从而有效约束三维地质构造建模过程。为实现这一目标，我们开发了一个基于规则的知识推理系统，该系统从解释数据和先验知识中推导与专家认知一致的理论模型。此外，我们将提取的知识表示为拓扑语义知识图谱，这便于计算机识别，并能在三维地质建模过程中估计交线，从而创建准确的模型。通过使用实际数据进行应用测试，验证了我们提出的方法对各种复杂地质构造的适用性。此外，我们的方法有效地支持了实际工作区域中智能构造建模的实现。
