Description of Jianquanzigou fault and analysis of tight oil and gas reservoir control in Qiudong Subsag,Turpan-Hami Basin
Strike-slip faults play an important role in controlling hydrocarbon accumulation,and its identification,judgment and analysis of the controlling factors of oil and gas reservoirs are the focus of current exploration.In this paper,the Jianquanzigou fault was first discovered in the middle of Qiudong Subsag,Taibei Sag,Turpan-Hami Basin.In order to implement its spatial distribution characteristics,genetic mechanism and oil and gas reservoir control,further studies have been carried out.The results show that the Jianquanzigou fault is staggered horizontally on the outcrop,with a steep section and develops a"floral structure"on the profile,and a"en echelon"distribution on the plane,with a"four-layer structure"and obvious strike-slip characteristics.The Jianquanzigou fault is a secondary strike-slip fault derived from Zhaobishan large fault.It is developed along the R'shear plane in the Sylveser's simple shear model.Combined with the homogenization temperature of fluid inclusions,it is inferred that Jianquanzigou fault formed in the Late Indosinian,with strong activity in Early to Middle Yanshan period,and weak activity in Late Yanshan period.The Jianquanzigou fault has the functions of controlling trap,reservoir,transport and accumulation and its spatial structure,active period and matching relationship with accumulation period determine the fluid phase state,oil and gas displacement sequence and accumulation location of oil and gas migration and accumulation.In particular,the middle and lower fault structure is active in the Middle Yanshan period and then becomes static and closed,which is an important reason for the large-scale distribution of tight oil and gas reservoirs in the Lower Jurassic.The research results have very important guiding significance for tight oil and gas exploration in Turpan-Hami Basin.
strike-slip faultformation mechanismcontrol of reservoirQiudong SubsagTurpan-Hami Basin
万方数据
维普
