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A Comprehensive Method For Identifying Light Oil Reservoir In Haila'er Basin Of Daqing Exploratory Area

Posted on:2005-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Q H QinFull Text:PDF
GTID:2120360122975372Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
It is very important work for exploration to identify and evaluate oil layer, water layer, or gas layer from reservoir, and it is difficult for petroleum scientists to identify and evaluate light oil, whose color is weak, oiliness is light, volatility is strong, hydrocarbon saturation is low and fluorescence will disappear after a stretch. So petroleum researchers maybe lost light oil when they calculate reservoir. In the paper the author achieve interpretation, qualitative and quantitative evaluation to light oil reservoir by all kinds of geochemical methods in Haila'er basin of Daqing exploratory area where light oil is abundant, at the same time apply it to practice.Lots of observing, practice and test show that light oil can be identified by some technology ways and reservoir properties can be perceived, and all these benefit to productivity evaluation quantitatively by well logging data and laboratory analysis. Contrasting our study with well test result, the interpretation accord with geological fact. Most light oil concentrates in Haila'er basin and the coincidence is ninety percent. By the present time, geologic researchers have found that light oil distribute centrally in baier depression. This paper applies this method for identifying and evaluating light oil in the Haila'er basin, and analyzes generation, migration, and preserving condition pramarily. The author thinks that the nonuniform distribution of light oil in Haila'er basin is caused by the difference of distribution of hydrocarbon source rock, type of organic matter which produced oil, tectonic conditions, migrating time, hydrocarbon maturity, and buried depth...
Keywords/Search Tags:Haila'er basin, light oil identifying, light oil reservoir evaluation, forecast production, light oil concentrated factors
PDF Full Text Request
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