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Research On Visual Simulation Technology For Offshore Oilfield Production Performance

Posted on:2016-12-05Degree:MasterType:Thesis
Country:ChinaCandidate:J P WangFull Text:PDF
GTID:2321330536954616Subject:Oil and gas field development project
Abstract/Summary:PDF Full Text Request
In order to improve offshore platform production and management and to maximize productivity efficiency,an offshore oilfield production dynamic management system is in bad need and shall be established to enable managers to know the production dynamic status of the offshore oilfield in time to analyze the reason of the yield variation and to diagnose the problem in production system in order to provide important reference frame for production decision.The article carries out the research on system simulation theory,divides the offshore oilfield production system into stratum sub-system,shaft lifting sub-system,electric submersible sub-system and nozzle sub-system with nodal analysis methods and establishes corresponding mathematical model and simulation model: oilfield production capacity prediction model,oil well shaft multiphase pipeline model,electric submersible pump system and nozzle flow model.Then,a detailed study has been carried out on production dynamic analysis theory of oilfield and it is discovered that there are all kinds of uncertain factors during offshore oilfield production with every influencing factor of different uncertainty.Hence,the fuzzy logic theory has been applied into offshore oilfield production dynamics analysis and a production dynamics analysis model has been established based on fuzzy comprehensive evaluation.Finally,the overall thought of the article is presented with B/S(Browser/Server)mode software by adopting advanced programming language to form offshore oilfield production dynamic management system.The software enables the visualization by instance analysis and the method presented hereby can be applied into offshore oilfield production dynamic analysis.
Keywords/Search Tags:offshore oil filed, production dynamic analysis, system simulation, BP neural network, fuzzy logic
PDF Full Text Request
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