摘要
对大庆长垣扶余致密油藏水平井、导眼井或邻井测井和取心资料分析,搞清了水平井与直井的测井响应特征和差异,建立了井眼轨迹与地层几何关系确定方法和步骤。在"七性"参数评价成果基础上,总结了水平井甜点段、射孔位置划分原则和方法。通过对扶余油层已试20口水平井产能影响因素分析,优选水平段长度、有效孔隙度、含油饱和度、脆性指数和砂体厚度等参数,采用类比法建立了水平井产能预测模型。研究成果对水平井射孔位置、压裂段确定等工程设计提供了重要依据,对大庆长垣扶余致密油增储上产具有重要意义。
How to use horizontal well LWD and Wireline logging data to determine the relationship between horizontal well borehole trajectory and stratum,calculate reservoir parameters,preferably select sweet spot section for fracturing,etc.,has become an urgent problem to be solved in Fuyu tight reservoir of Daqing Changyuan oilfield.Through the analysis of the logging and coring data of horizontal well,pilot well or adjacent well,the logging response characteristics and differences of horizontal well and straight well were determined,and the methods and workflow of obtaining the relationship between borehole trajectory and stratum were established.Based on the evaluation results of“seven characters”parameters,the principle and method of evaluating the dessert section and perforation position of horizontal well were summarized.Moreover,based on the test data of 20 horizontal wells in the study area,the factors affecting the capacity were analyzed,the parameters such as horizontal section length,effective porosity,oil saturation,brittle index and sand body thickness were optimized,and the productivity prediction model of horizontal well was established by analogy method.The research results provide an important basis for engineering design such as perforation position and fracturing section determination of horizontal well,which was of great significance to reserve and production increment of Fuyu tight oil in Daqing Changyuan oilfield.
作者
郑建东
朱建华
闫伟林
ZHENG Jiandong;ZHU Jianhua;YAN Weilin(PetroChina Daqing Oilfield CO. LTD.,Daqing,Heilongjiang 163712,China)
出处
《测井技术》
CAS
2019年第1期53-57,共5页
Well Logging Technology
基金
国家科技重大专项"松辽盆地致密油开发示范工程"(2017ZX05071)
关键词
测井解释
致密油
井眼轨迹
水平井
测井响应
甜点优选
产能评价
log interpretation
tight oil
borehole trajectory
horizontal well
logging response
sweet spot optimization
productivity evaluation