基于大数据分析油气资源开发及数据挖掘的模型研究

Model Research on Oil and Gas Resource Development and Data Mining Based on Big Data Analysis

为实现复杂的油气勘探、油气资源开发,从油气田勘探、油藏注水、试采试气、井网布置、油气集输等的作业步骤出发,建立起油气生产作业的智能系统平台,为避免天然气管道在长期输送运行中的泄漏风险,引入基于音波信号检测技术、FFT快速傅里叶变换算法的数据挖掘方案,对油气管道传感器接收的音波信号作出数据挖掘分析,及时计算出泄漏位置并采取合理方案进行处理,保障油气资源开发、输送工作开展的安全性。

In order to achieve complex oil and gas exploration and development of oil and gas resources,an intelligent system platform for oil and gas production operations is established starting from the operational steps of oil and gas field exploration,reservoir water injection,trial production and gas testing,well network layout,and oil and gas gathering and transportation.To avoid the risk of leakage in natural gas pipelines during long-term transportation and operation,a data mining scheme based on acoustic signal detection technology and FFT fast Fourier transform algorithm is introduced,by conducting data mining analysis on the acoustic signals received by oil and gas pipeline sensors,the leakage location can be calculated in a timely manner and reasonable solutions can be taken to ensure the safety of oil and gas resource development and transportation work.