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松辽盆地深层天然气区带评价和资源预测
引用本文:刘成林,金惠,刘人和,朱杰,范柏江.松辽盆地深层天然气区带评价和资源预测[J].西南石油大学学报(社会科学版),2011,30(1):30-32.
作者姓名:刘成林  金惠  刘人和  朱杰  范柏江
作者单位:1.中国石油大学石油天然气成藏机理教育部重点实验室,北京 昌平 102249;2.中国石油勘探开发研究院廊坊分院,河北 廊坊 065007
摘    要:采用统计分析、类比评价、区带地质评价等方法,对松辽盆地深层天然气区带与资源潜力进行分析和评价。在天然气供烃条件、储集条件、圈闭条件、保存条件与配套条件统计分析的基础上,建立起松辽盆地深层天然气区带地质评价参数取值标准;计算了刻度区天然气资源丰度,并对刻度区天然气资源丰度(y)与地质评价系数(x)进行回归分析和拟合;根据区带地质条件的差异,对松辽盆地深层区带进行级别划分;松辽盆地深层天然气资源主要分布在徐家围子、庙台子等断陷中。

关 键 词:松辽盆地    成藏条件    深层天然气    区带评价    资源预测
收稿时间:2006-10-10

PLAY AND RESOURCE EVALUATION OF DEEP NATURAL GAS STRATA IN SONGLIAO BASIN
LIU Cheng-lin JIN Hui LIU Ren-he ZHU Jie FAN Bo-jiang.PLAY AND RESOURCE EVALUATION OF DEEP NATURAL GAS STRATA IN SONGLIAO BASIN[J].Journal of Southwest Petroleum University(Social Sciences Edition),2011,30(1):30-32.
Authors:LIU Cheng-lin JIN Hui LIU Ren-he ZHU Jie FAN Bo-jiang
Institution:1.China Petroleum University,Changping Beijing 102249,China;2.Research Institute of Petroleum Exploration & Development,Langfang Hebei 065007,China
Abstract:Resource evaluation of deep natural gas strata is done in Songliao Basin by using statistic,analogic and play assessment methodology,etc.Based on study of charging,reserving,trapping,preserving,and matching conditions of natural gas,standards of deep natural gas play assessment parameters are set up.Natural gas resource richness (y) of calibrated area is calculated by using statistic methodology and the relationship of natural gas resource richness and geological evaluation coefficient(x) is regressed and matched,according to the geologic conditions,the deep zones in the basin are ranked,the deep natural gas resource in the basin is mainly concentrated in Xujiaweizi and Miaotaizi sags.
Keywords:Songliao Basin                                                                                                                        hydrocarbon accumulation conditions                                                                                                                        deep strata natural gas                                                                                                                        play evaluation                                                                                                                        resource forecast
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