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Study On The Production Decline Law Of XZ Oilfield

Posted on:2017-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:B TaoFull Text:PDF
GTID:2321330488460324Subject:Oil and gas field development project
Abstract/Summary:PDF Full Text Request
The reservoir type of XZ oilfield is complex is low permeability and fractured, which in poor produce condition currently. Its production decline fast and water cut rises fast. The effect and measures ineffective of water injection are poor and heterogeneity is serious. That is why water injection is difficult. This thesis uses the method that combine reservoir engineering with numerical simulation. This paper is on the actual production dynamic and reservoir geological characteristics basis. We analyzed the law of production declining,established the composite modification method. And it can provide the technical data for for the study of the same type of oil field development.This paper mainly study on the law of oil production decline, considering the impact of fractured geological characteristics that low permeability. This paper analysis the law of the oilfield water rises and qualitative analysis of the impact of geological factors of production decline. And it takes a quantitative analysis a variety of factors influencing production decreasing mainly applying weight analysis method. And get the answer that injection-production ratio and formation pressure are the main factors to give way to slow the production decline rates. With reservoir engineering method strike a reasonable injection-production ratio and reasonable formation pressure. Use numerical simulation method to research the relationship between reasonable injection-production ratio and the formation pressure maintenance in order to ease production decline rate and improve oilfield development effect. To apply different yield prediction model to determine the most suitable model and make a prediction of the oilfield development dynamic forecast.
Keywords/Search Tags:low-permeability, production decline, influencing factors, predication model
PDF Full Text Request
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