Predictive control based on nonlinear separation model;

This dissertation puts forward a method of designing the suboptimal strong tracking filter, which is based on the approximation error upper bound of nonlinear separation model and applied to design feedback corrected controller in predictive control.

A nonlinear separation model which is composed of nonlinear static element,linear dynamic element and integral element is proposed.

In order to accurately describe the reservoir and its through-going characteristics,this paper establishes the structural model,the sedimentary microfacies model and the microfacies-controlled property model step by step using facies-controlled modeling technology with multiple stochastic modeling methods and on the basis of study results o.

This article put forward an attribute model for 5\|unit group soft structure,discussed the related method and languages,and described this model by example of BNF.

To obtain more accurate structural buried depth in seismic exploration, methods are proposed ior establishing an attribute model velocity field, the formation unit that has great influence on its velocity is considered comprehensively in the methods geologic, petrophysic and compaction data are used to build a velocity model more accurately and objectively in combination with seismic data.