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Study On Prediction Method Of Oil And Gas Prospective Areas In Yulin Area Of Shanxi Province

Posted on:2018-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:J HeFull Text:PDF
GTID:2310330515963333Subject:Resources and Environment Remote Sensing
Abstract/Summary:PDF Full Text Request
With the deepening of exploration and development,there are fewer and fewer ares for development in the proven reserves area of Jingbian gas filed.In order to ensure its production capacity,the development of the area around the Jingbian gas field is underway.Therefore,it is necessary to forecast the oil and gas prospecting area in the surrounding area of Jingbian gas field.In the existing methods of oil and gas area prediction,the traditional methods tend to rely on all kinds of geological factors to predict oil and gas areas,but ignoring the hydrocarbon microleakage information.The methods of remote sensing can make full use of the information of hydrocarbon microleakage,but the commonly used methods is qualitative analysis rather than quantitative analysis.In this paper,a region located in the eastern part of Jingbian gas field is the research area.Based on the comprehensive analysis of the main geologic information and the hydrocarbon microleakage information,the oil and gas prospecting area in the study area is quantitatively predicted by information model.Paper main research content is as follows:1.The common evaluation methods of hydrocarbon source rocks,reservoir,cap and construction information are analyzed and summarized.Based on the existing data,the seven factors of geology and tectonics were selected for the oil and gas field prediction,and the factors are obtained by means of buffer and interpolation.2.Using the ASTER data,the band ratio method,principal component analysis method and split window algorithm were used to obtain the mineral alteration anomaly information and surface temperature anomaly information of the study area.The validity of the mineral alteration anomaly information is verified by the two indexes of mineral recognition rate and recognition accuracy.Finally,four hydrocarbon microleakage anomaly information factors were obtained.3.The correlation coefficient matrix was used to check the independence of all factors,and the factors with large correlation are eliminated.Finally,the seven factors of mineral alteration anomaly information,surface temperature anomaly information,4.hydrocarbon potential of upper paleozoic source rock,vitrinite reflectance of upper paleozoic source rock,the H? value of reservoir,the distance to the fault were selected to predict the oil and gas areas.5.The information value model of the oil and gas prospecting area prediction was established with the selected seven factors,and the efficiency curve was used to validate the model's accuracy and prediction effciency.The information value of the research area were classified,the areas including the high and extremely high levels are regarded as the oil and gas favorable ares.The reliability and applicability of the method are proved by comparing the oil and gas favorable areas with the proven reserves areas.Finally,the southeast area of Hengshan town,the middle and east area of Zhaoshipan town were predicted as the key target areas of the oil and gas exploration in the study area.
Keywords/Search Tags:oil and gas prospect areas, information value model, hydrocarbon micro-leakage, geological information, structural information
PDF Full Text Request
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