论文标题
通过使用时间序列算法预测酿酒厂炼油厂和丙烷搅拌器净生产的生产
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms
论文作者
论文摘要
石油生产预测是控制石油储层的成本效益和监测功能的重要步骤。结果，石油生产预测使水库工程师更容易开发可行的项目，这有助于避免冒险的投资并实现长期增长。结果，可靠的石油储层预测对于控制和管理油基水库的有效成本至关重要。石油生产受储层质量的影响，例如孔隙率，渗透率，可压缩性，流体饱和度和其他井运行参数。三届系列算法，即季节性天真方法，指数平滑和Arima，以预测未来两年的蒸馏燃料炼油厂和丙烷搅拌器净产量。
Oil production forecasting is an important step in controlling the cost-effect and monitoring the functioning of petroleum reservoirs. As a result, oil production forecasting makes it easier for reservoir engineers to develop feasible projects, which helps to avoid risky investments and achieve long-term growth. As a result, reliable petroleum reservoir forecasting is critical for controlling and managing the effective cost of oil reservoirs. Oil production is influenced by reservoir qualities such as porosity, permeability, compressibility, fluid saturation, and other well operational parameters. Three-time series algorithms i.e., Seasonal Naive method, Exponential Smoothening and ARIMA to forecast the Distillate Fuel Oil Refinery and Propane Blender net production for the next two years.
