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Analysis And Application On Shallow Hazard Prediction Technology In Deepwater Drilling

Posted on:2018-09-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LinFull Text:PDF
GTID:2371330596954177Subject:Oil and gas engineering
Abstract/Summary:PDF Full Text Request
Deepwater drilling is a very important part in the exploration and development of deepwater oil and gas resources.Due to the complex geological condition of the oceans,and it is far more different from drilling on the land,deepwater drilling can be affected by many impacts.Many problems faced by deepwater drilling are inevitable,especially in the shallow geological hazards.Shallow water flow and shallow gas are even the most dangerous disasters among the shallow hazards.These shallow hazards can cause unbearable disasters,including personal injury or death,and property loss.In order to predict the geological disasters we need to study the mechanism,identification and engineering dangers.This paper will start from the formation mechanism of shallow geological hazard in deep water drilling,analyzing the characteristics of shallow water flow and shallow gas,the hazards that are often seen in deepwater drilling,and estimating the dangers of shallow geological hazards during deepwater drilling combined with the deepwater drilling instance.By using high resolution 2D seismic data,3D seismic data,AVO attribute analysis and logging data,the paper discusses the feasibility of the methods based on actual drilling operations,summarize various shallow risk prediction techniques and compare them to recommend the monitoring methods available in the drilling process.Finally,according to the results of the submarine survey of Libra block,the paper analyzes the potential danger.Aiming at the possible geological disasters in the shallow layers of Libra,specific shallow disaster prediction technology is applied to identify the possible shallow water flow risk and control measures is given as well.
Keywords/Search Tags:Deepwater Drilling, Shallow Water Flow, Shallow Gas, Prediction
PDF Full Text Request
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