My research is focus on goal-oriented history matching method, which means we will try to correlate the history matching algorithm with the predication goal that we specified. Intuitively, for different prediction goals, the weights of different data should be different when we do data assimilation, so goal-oriented history maching method will give us the best weights of different data for history matching, which allows us to get a better prediction over the goal we specified through history mathcing.