Superimposed basins in West China have experienced multi-stage tectonic events and multicycle hydrocarbon reservoir formation, and complex hydrocarbon reservoirs have been discovered widely in basins of this kind. Mos...Superimposed basins in West China have experienced multi-stage tectonic events and multicycle hydrocarbon reservoir formation, and complex hydrocarbon reservoirs have been discovered widely in basins of this kind. Most of the complex hydrocarbon reservoirs are characterized by relocation, scale re-construction, component variation and phase state transformation, and their distributions are very difficult to predict. Research shows that regional caprock （C）, high-quality sedimentary facies （Deposits, D）, paleohighs （Mountain, M） and source rock （S） are four geologic elements contributing to complex hydrocarbon reservoir formation and distribution of western superimposed basins. Longitudinal sequential combinations of the four elements control the strata of hydrocarbon reservoir formation, and planar superimpositions and combinations control the range of hydrocarbon reservoir and their simultaneous joint effects in geohistory determine the time of hydrocarbon reservoir formation. Multiple-element matching reservoir formation presents a basic mode of reservoir formation in superimposed basins, and we recommend it is expressed as T-CDMS. Based on the multiple-element matching reservoir formation mode, a comprehensive reservoir formation index （Tcdms） is developed in this paper to characterize reservoir formation conditions, and a method is presented to predict reservoir formation range and probability of occurrence in superimposed basins. Through application of new theory, methods and technology, the favorable reservoir formation range and probability of occurrence in the Ordovician target zone in Tarim Basin in four different reservoir formation periods are predicted. Results show that central Tarim, Yinmaili and Lunnan are the three most favorable regions where Ordovician oil and gas fields may have formed. The coincidence of prediction results with currently discovered hydrocarbon reservoirs reaches 97 %. This reflects the effectiveness and reliability of the new theory, methods and technology.展开更多
In Turpan-Hami basin,multi-source rocks are developed in Xiaocaohu secondary sag,and show good source conditions,abundant petroleum resources and bright prospects for exploration.Three reservoir-cap assemblages develo...In Turpan-Hami basin,multi-source rocks are developed in Xiaocaohu secondary sag,and show good source conditions,abundant petroleum resources and bright prospects for exploration.Three reservoir-cap assemblages developed in Middle Jurassic formed reservoir types in the sag which are structural-lithology oil-gas pools in Sanjian fang formation and Qiketai formation along with deep basinal gas pools in Xishanyao formation of Jurassic.The late Yanshan movement is a major stage for hydrocarbon accumulation in Xiaocaohu secondary sag.The primary controlled factors for its hydrocarbon accumulation is due to its palaeo-structures,tectonic setting and traps with structural-litholo gy feature.The exploratory efforts has good effectiveness based on these main controlled factors for evaluation and optimization of its favorable zones.展开更多
基金the State Key Basic Research Plan 973 Project(2006CB202308)
文摘Superimposed basins in West China have experienced multi-stage tectonic events and multicycle hydrocarbon reservoir formation, and complex hydrocarbon reservoirs have been discovered widely in basins of this kind. Most of the complex hydrocarbon reservoirs are characterized by relocation, scale re-construction, component variation and phase state transformation, and their distributions are very difficult to predict. Research shows that regional caprock （C）, high-quality sedimentary facies （Deposits, D）, paleohighs （Mountain, M） and source rock （S） are four geologic elements contributing to complex hydrocarbon reservoir formation and distribution of western superimposed basins. Longitudinal sequential combinations of the four elements control the strata of hydrocarbon reservoir formation, and planar superimpositions and combinations control the range of hydrocarbon reservoir and their simultaneous joint effects in geohistory determine the time of hydrocarbon reservoir formation. Multiple-element matching reservoir formation presents a basic mode of reservoir formation in superimposed basins, and we recommend it is expressed as T-CDMS. Based on the multiple-element matching reservoir formation mode, a comprehensive reservoir formation index （Tcdms） is developed in this paper to characterize reservoir formation conditions, and a method is presented to predict reservoir formation range and probability of occurrence in superimposed basins. Through application of new theory, methods and technology, the favorable reservoir formation range and probability of occurrence in the Ordovician target zone in Tarim Basin in four different reservoir formation periods are predicted. Results show that central Tarim, Yinmaili and Lunnan are the three most favorable regions where Ordovician oil and gas fields may have formed. The coincidence of prediction results with currently discovered hydrocarbon reservoirs reaches 97 %. This reflects the effectiveness and reliability of the new theory, methods and technology.
文摘In Turpan-Hami basin,multi-source rocks are developed in Xiaocaohu secondary sag,and show good source conditions,abundant petroleum resources and bright prospects for exploration.Three reservoir-cap assemblages developed in Middle Jurassic formed reservoir types in the sag which are structural-lithology oil-gas pools in Sanjian fang formation and Qiketai formation along with deep basinal gas pools in Xishanyao formation of Jurassic.The late Yanshan movement is a major stage for hydrocarbon accumulation in Xiaocaohu secondary sag.The primary controlled factors for its hydrocarbon accumulation is due to its palaeo-structures,tectonic setting and traps with structural-litholo gy feature.The exploratory efforts has good effectiveness based on these main controlled factors for evaluation and optimization of its favorable zones.
