Parameter Estimation STAR (1;1) Model Using Binary Weight

K. Joebaedi, I. Irianingsih, Badrulfalah Badrulfalah, D. Susanti, K. Parmikanti
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Abstract

Space Time Auto Regressive(1;1)  Model or STAR(1;1)  model is a form of model that involves location and time. The STAR(1;1)  model is a stationary space time model in mean and variance. The STAR model can be used to forecast future observations at these locations by involving the effects of observations at other nearby locations in spatial lag 1 and lag time 1 [2]. The STAR model can be written as a linear model assuming that error is normally distributed with zero mean and constant variance. In this research, the parameter estimation procedure for STAR model using binary weight, MKT method and STAR model for the estimation of petroleum production in 3 wells is assumed to be in a homogeneous reservoir.
基于二元权值的STAR(1;1)模型参数估计
时空自回归(1;1)模型或STAR(1;1)模型是一种涉及位置和时间的模型形式。STAR(1;1)模型在均值和方差上都是一个平稳的时空模型。STAR模式可用于在空间滞后1和滞后时间1[2]中考虑其他附近地点观测的影响,从而预测这些地点未来的观测结果。假设误差为正态分布,均值为零,方差为常数,STAR模型可以写成线性模型。在本研究中,采用二元权值法、MKT法和STAR模型对3口井进行产量估算的STAR模型参数估计过程假设为均质油藏。
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