境内(西伯利亚西部东南部)碳氢化合物密度和深部热流

D. S. Krutenko, V. Isaev, S. G. Kuzmenkov
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This method may make a good showing while supplementary exploration in the territories with well-developed infrastructure and a large amount of wells as it is based on modelling and analysing of available data and does not propose additional field works. The main aim: establishing qualitative and quantitative relations between deep heat flow and oil and gas potential, also between gradient zones of heat flow and localization of hydrocarbon fields in the west of Tomsk Region. Objects: thermal field and oil and gas potential in the west of Tomsk Region. Subjects. The thermal field is described with such parameters as deep heat flow density and horizontal gradient of heat flow. Hydrocarbon fields are divided depending on fluid type into oil, oil-gas-condensate and gas-condensate. Methods. The deep heat flow was determined through paleotemperature modelling. The grid with cells of 20×20 km was set on study territory in increments of 10 km. 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引用次数: 0

摘要

引用链接:Krutenko D.S., Isaev V.I., Isaev S.G.碳氢化合物密度和领土深部热流(西伯利亚西部东南部)。托木斯克理工大学公报。岩土工程Аssets, 2023,第334卷,第2期。7,рр。148 - 163。俄文。的相关性。根据石油有机成因的主导理论,认为地热制度是主要因素,是实现生油潜力的重要因素。因此,发展地热作为勘探地球物理预测和评价油气潜力的一种方法并非无关紧要。预测任务简化为探测局部地热异常并建立其与油气矿床的关系。这种方法基于对现有数据的建模和分析,不需要进行额外的现场工作,因此在基础设施发达、油井数量多的地区进行补充勘探时,可能会取得很好的效果。主要目的:建立托木斯克州西部深层热流与油气潜力、热流梯度带与油气田定位之间的定性和定量关系。目标:热场和石油和天然气潜力在托木斯克州西部。科目。用深热流密度和热流水平梯度等参数来描述热场。烃类油田根据流体类型分为油类、油气凝析油和凝析油。方法。通过古地温模拟确定了深部热流。在研究区域上以10 km为单位设置网格,网格单元为20×20 km。利用Kriging插值法确定每个细胞中心的热流值。在同一网格上,用五点公式计算了热流的绝对水平梯度。在同一网格上确定了油气潜力的定量参数——烃密度。通过相关分析和回归分析探讨定量关系。采用单因素方差分析分析了不同流体类型的热流密度、热流水平梯度与油气藏局部化的关系。结果。研究的主要结果是建立了不同流体类型矿床在热场中的分布规律。相关分析显示相关系数极显著。结论。石油和油气凝析油田倾向于平均热流值(52 mW/m2),而凝析气田具有高热流值(57 mW/m2)。成排油田-油气凝析油田-凝析油田的热流绝对水平梯度值增大。各场类型梯度平均值之间的差异具有统计学意义。因此,提出了预测油气高潜力地区流体类型矿床的地热定量标准。在高热流值(>56 mW/m2)时,热流密度与碳氢化合物密度之间建立了高度显著的定量关系(r=0,53)。热流水平梯度与油气密度呈弱相关(r=0,3)。
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DENSITY OF HYDROCARBONS AND DEEP HEAT FLOW OF THE TERRITORY (SOUTHEAST OF WESTERN SIBERIA)
Link for citation: Krutenko D.S., Isaev V.I., Isaev S.G. Density of hydrocarbons and deep heat flow of the territory (southeast of Western Siberia). Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 7, рр. 148-163. In Rus. The relevance. According to the ruling theory for organic origin of petroleum, geothermal regime is considered to be the main factor, which is responsible for realization of potential for oil generation. Therefore, it is not irrelevant to develop geothermics as a method of exploration geophysics for forecasting and evaluating oil and gas potential. Forecast tasks are reduced to detection local geothermal anomalies and establishing its relation to hydrocarbon deposits. This method may make a good showing while supplementary exploration in the territories with well-developed infrastructure and a large amount of wells as it is based on modelling and analysing of available data and does not propose additional field works. The main aim: establishing qualitative and quantitative relations between deep heat flow and oil and gas potential, also between gradient zones of heat flow and localization of hydrocarbon fields in the west of Tomsk Region. Objects: thermal field and oil and gas potential in the west of Tomsk Region. Subjects. The thermal field is described with such parameters as deep heat flow density and horizontal gradient of heat flow. Hydrocarbon fields are divided depending on fluid type into oil, oil-gas-condensate and gas-condensate. Methods. The deep heat flow was determined through paleotemperature modelling. The grid with cells of 20×20 km was set on study territory in increments of 10 km. Heat flow values were determined in the centers of each cell using Kriging interpolation method. The absolute horizontal gradient of heat flow was calculated on the same grid using five spot formula. Quantitative parameter of oil and gas potential – hydrocarbon density – was determined on the same grid. Quantitative relations were investigated by correlation and regression analysis. Relationships of heat flow density and horizontal gradient of heat flow with localization of hydrocarbon fields of different fluid type were detected by one-way ANOVA test. Results. The main results of this study are established distribution patterns for deposits of different fluid type in thermal field. Correlation analysis showed highly significant correlation coefficients. The conclusion. Oil and oil-gas-condensate fields tend to the average heat flow values (52 mW/m2), while gas-condensate are associated with high heat flow values (57 mW/m2). The value of the absolute horizontal gradient of heat flow increases in row oil fields – oil-gas-condensate fields – gas-condensate fields. The difference between average values of gradient for all of field types is statistically significant. Therefore, we indicate appearance of geothermal quantitative criterion for forecasting fluid type of deposits in areas of high potential for hydrocarbons. Quantitative relation of high significance (r=0,53) between heat flow density and hydrocarbon density is established for high heat flow values (>56 mW/m2). Weak correlation (r=0,3) was indicated between horizontal gradient of heat flow and hydrocarbon density.
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