Font Size: a A A

Volcanic Lithology And Lithofacies Logging Identification In Jinlong10 Well Block Of Junggar Basin

Posted on:2018-08-13Degree:MasterType:Thesis
Country:ChinaCandidate:P ChenFull Text:PDF
GTID:2370330596952791Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
As the volcanic reservoirs have been found constantly,the study of volcanic reservoirs gradually become a hot spot,volcanic rocks in the high quality reservoirs are mainly the identification of lithology and lithofacies.In recent years,the exploration shows that the volcanic reservoir of Jinlong10 Well Block in Junggar basin has direct hydrocarbon indication.But volcanic lithology is complex and difficult to identify,so it will has important directive significance to identify volcanic lithology and lithofacies in this region by core calibration logging and well-log and seismic data.Through core observation and thin section identification,the thesis analyzes the volcanic rock lithology and lithofacies geological characteristics in Jinlong10 Well Block.The study found that the volcanic rocks in Jinlong10 Well Block mainly include 3 types of volcanic rocks: volcanic lavas,pyroclastic rocks and pyroclastic lavas,which can be divided into 11 types of rocks,and among them,andisites and volcanic breccias,are the largest number.The volcanic facies include eruption facies,overflow facies,volcanic channel facies,subvolcanic lithology facies and volcanic sedimentary facies,among them,eruption facies and overflow facies are more developed.On the basis of the characteristics of volcanic rock lithology and lithofacies in geological identification,the thesis use core calibration logging data,conventional logging data and ECS logging and FMI logging data data to establish the identification marks for lithology and lityofacies logging.At the conventional logging data,it is found that GR logging data is more accurate to distinguish the composition of volcanic rocks.DEN logging data and CNL logging data are data are more accurate to distinguish the rock structure.By combining logging data,it is found that the GR-DEN data is more accurate to distinguish the composition of volcanic rocks;the CNL-DEN data is more accurate to distinguish the rock structure.ECS logging data can calculate the main oxide content in the volcanic rock,and is more accurate to distinguish the composition of volcanic rocks.FMI logging data can be observed the structure and tectonics of volcanic rocks.Combining the well logging with seismic,the thesis identifies volcanic cycles and period based on the single well facies of 16 key wells and 2 connecting-well profiles.Then,according to the characteristics of volcanic facies and reservoir space,the thesis analyses the controlling factors of the volcanic reservoir and predict the favorable zone of volcanic reservoir in Jinlong10 Well Block.
Keywords/Search Tags:Jinlong10 Well Block, Volcanic lithology and lithofacies, Logging identification, Characteristic of volcanic facies distribution, Controlling factors
PDF Full Text Request
Related items