Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme
نویسنده
چکیده
Article history: PVT properties are very imp Received 2 January 2007 Accepted 1 December 2008
منابع مشابه
A New Method for Crude Oil Price Forecasting Based on Support Vector Machines
This paper proposes a new method for crude oil price forecasting based on support vector machine (SVM). The procedure of developing a support vector machine model for time series forecasting involves data sampling, sample preprocessing, training & learning and out-of-sample forecasting. To evaluate the forecasting ability of SVM, we compare its performance with those of ARIMA and BPNN. The expe...
متن کاملCrude Oil Forecasting with an Improved Model Based on Wavelet Transform and Support Vector Machines
This paper presents a hybrid wavelet support vector machines (WSVM) model that combines both wavelet technique and the SVM model for crude oil forecasting. Based on the purpose, the main time series was decomposed to some multi-frequently time series by wavelet theory and these time series were imposed as input data to the SVM for forecasting of crude oil series. To assess the effectiveness of ...
متن کاملCrude Oil Price Forecasting with an Improved Model Based on Wavelet Transform and Support Vector Machines
This paper presents a hybrid wavelet support vector machines (WSVM) model that combines both wavelet technique and the SVM model for crude oil price forecasting. Based on the purpose, the main time series was decomposed to some multi-frequently time series by wavelet theory and these time series were imposed as input data to the SVM for forecasting of crude oil price series. To assess the effec...
متن کاملData mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systems
Pressure–volume–temperature properties are very important in the reservoir engineering computations. There are many empirical approaches for predicting various PVT properties based on empirical correlations and statistical regression models. Last decade, researchers utilized neural networks to develop more accurate PVT correlations. These achievements of neural networks open the door to data mi...
متن کاملHybridizing Wavelet and Least Squares Support Vector Machines for Crude Oil Price Forecasting
In this paper, a hybrid model integrating wavelet and least squares support machines (LSSVM) is proposed for crude oil price forecasting. In this model, Haar à trous wavelet transform is first selected to decompose an original time series into several sub-series with different scales. Then the LSSVM is used to predict each sub-series. And the final oil price forecasting is obtained by reconstru...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009