Forecast of oil-gas drilling cost based on BP neural network
Gang Ma · Journal of Xi'an Shiyou University · 2010
Oil-gas drilling cost is an important index reflecting the economic benefit of an oilfield enterprise.The accurate forecast of the drilling cost can help enterprise directors and investors to carry out scientific decision and estimation.Based on analyzing the influential factors of oil-gas drilling cost,a drilling cost forecasting model is established using BP neural network,in which the relationship among the factors is considered.Taking the drilling work data of some oilfield as an example,it is proven that the method has higher forecast precision than linear regression method and BP neural network method.