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Logging Evaluation Technique In The Study Of Reservoir Parameters

Posted on:2003-12-22Degree:MasterType:Thesis
Country:ChinaCandidate:H B LiFull Text:PDF
GTID:2208360092480594Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Reserves and products are two important key of the oilfield .Reserves is the base of the oil products . So improving the evaluation level of reserves parameters, rationing the parameters of reserves, caculating and improving the veracity of the reserves can increase the oil production. It' s the key to keep the oilfield continue development.The most works of this paper include the foundation of the log reserves parameter evaluation system based on the predecessor' s fruits, armed with log theoretics and computer technologies. And the most results of the paper are so follows:1. By database , the manager of data supplies many kinds of loading ways on log data, it is easies to user.2. It execute log data pre-processing and log curves correction by applying math technique, such as Mathematics statistic and correlation contrast, etc. It resolves the problems on log depth correction and inclined well, and so on.3. It particular tells us the calculate methods and the interpret model formula of the log reserves parameters. Besides some general interpret models , the systems offer the interface of user-defined model program .There are good extensible on the log interpret model. This is the main new idea brought forth in the paper.The software has a friendly user interface. User can put their own programs into the platform through a program generator. The software might even play a more important role in reservoir parameter evaluation, stratum correlation by the development of the corresponding FORTRAN application programs.The results have successfully used in the practice works of reserves study, the result is very fine and it has significant economic benefits.
Keywords/Search Tags:log evaluation, reserves parameter, log data pre-processing, log environmental correction, interpret model
PDF Full Text Request
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