复杂环境下煤层气储运全程动态信息获取及安全评估

With the change of energy structure in China，the development and application of Coalbed Methane(CBM) which is an ideal and high quality energy is becoming more and more important. However, due to the long duration of CBM storage and transportation processes, various sensitive parameters affecting the storage and transportation safety of CBM, random staggered processes which has diverse monitoring strategies, the leakage, explosion, deterioration and degeneration of CBM during storage and transportation are becoming increasingly serious. Especially, the lack of scientific evaluation methods for the storage and transportation state of CBM leads to the storage and transportation safety of CBM cannot be effectively guaranteed. Therefore, it is urgent to carry out the research on the theory of safety state evaluation of CBM during storage and transportation processes. In view of the above problems, this project carries out theoretical modeling of typical operating conditions in the processes of storage and transportation by analyzing the characteristics of CBM storage and transportation processes under complex environment. According to the theoretical model, the adaptive multi-parameter information acquisition strategy that is suitable for the whole storage and transportation processes of CBM is studied. Then the big data compression and data reconstruction method of storage and transportation processes is researched and efficient and stable data transmission encryption protocol is designed. Based on the monitoring data of storage and transportation processes, the theory of safety state evaluation of CBM storage and transportation processes is established. The study of this project provides a theoretical and technical basis for the safety state evaluation of the CBM and life extension of storage and transportation equipment during the storage and transportation processes.

随着我国能源结构的调整，煤层气作为一种理想的优质能源，其开发与应用必然越来越受国家的重视。然而，由于煤层气储存、运输过程持续时间长，影响煤层气储运安全的敏感因素众多，不同过程监测策略差异巨大且随机交错，造成储运过程中的泄露、燃爆、变质、变性问题日益严峻。特别是由于缺少科学的煤层气储运过程安全状态评估方法，使得煤层气储运安全无法得到有效保障。因此，迫切需要开展煤层气储运过程安全状态评估理论的研究。针对上述问题，本项目在分析复杂环境下煤层气储运过程基本特性的基础上，对贮运过程典型工况进行理论建模；依据理论模型研究适合煤层气储存、运输全程的自适应多参数信息获取策略，研究储运全程大数据压缩及数据重构方法，设计高效、稳定的数据传输加密协议；依据储运监测数据建立煤层气储运全程安全状态评估理论。本项目的研究为煤层气储运安全状态的评估及储运设备的储运延寿提供了理论和技术基础。

针对煤层气储存、运输过程持续时间长，影响煤层气储运安全的敏感因素众多，不同过程监测策略差异巨大且随机交错，造成储运过程中的泄露、燃爆、变质、变性问题，本项目对复杂环境下的煤层气储运过程进行了调研与基本特性分析，对复杂物理场作用下的典型工况进行了理论建模，分析了不同载荷作用下典型工况响应特性；依据储运过程基本特性和建模结果提出了适用于煤层气储运全程自适应多参数信息获取策略，重点研究了其中的关键信号提取和大数据压缩重构方法，提出了高效、稳定的数据传输加密协议；最后依据高精度监测数据建立了煤层气储运全程安全状态评估方法。本项目的研究为复杂环境下多物理场信息获取方法、煤层气储运安全状态评估及储运设备的储运延寿提供了理论和技术基础。