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Profile Control To Optimize The Decision-making And Decision-making System

Posted on:2006-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:S K WangFull Text:PDF
GTID:2191360182956032Subject:Oil and gas field development project
Abstract/Summary:PDF Full Text Request
This paper aims at the uncertainty and the blindness in decision techniques of profile control. Combining PI and RE decision techniques, the well production data as well as the depository geological feature of reservoir. The project optimization design model and effect prediction model of profile control project were established. Some conclusion and knowledge was reached as following:In well selecting decision, combining PI and RE decision techniques, considerate the factor of the well pour ability, reservoir heterogeneity and the production data of the around production well, carry out multiple level fuzzy compound decision.On the base of the decision end, the parameter of profile control agent as well as the ratios of pour ability before profile control and later, Using the mathematic method to predicting the project effect, carry out economic estimate, conform the best profile control project. Effect prediction method chooses two different prediction models: Regress step by step (linear model); Nerve network (nonlinear model).Through the analysis of pour pressure system, the pressure prediction model was build and some parameters are acquired. During the process of profile control project designed, the designer can predict the creep craves of pour pressure and tiptop pressure with different inject range.On the research and the model of the optimizing decision, the project optimizing design as well as the effect prediction project , the optimizing decision system was developed. This system makes the decision techniques and optimizing design of project in one body, using interface is friendly, operating is simple and convenient, and practicality is strong. Aim at geological property and development condition of DaGang oil fields; the single well optimization of 4 wells such as 40-6-3 is applied research. The research end showed the model is reliable; the software can provide the credible information to user with simple and convenient.
Keywords/Search Tags:profile control, decision, project design, effect forecast, optimization
PDF Full Text Request
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