西南石油大学学报（自然科学版）Issue(1)：99-106,8.DOI:10.11885/j.issn.1674-5086.2013.11.14.03
致密油压裂水平井全周期产能预测模型
A Full Cycle Productivity Prediction Model of Fractured Horizontal Well in Tight Oil Reservoirs
摘要
Abstract
In tight oil reservoirs,the pore throat is of nano/micro-scale,the seepage channel is narrow,and the particle size is small. As a result,the physical characteristics of reservoirs is very poor,and the microscale effect is significant. The percolation is strongly affected by the matrix and fracture deformation. Due to complex reservoir characteristics and percolation mechanism,the drainage radius in the matrix is small,there isn′t natural production capacity,which makes it difficult to effectively develop tight oil reservoir. At present,the long horizontal well drilling technology with volume hydraulic fracturing has been widely used to realize economic and economic development of tight oil. Under this mode,the production process can be divided into three stages:early stage,transition period,and late stage. Accordingly,the flow field of fractured horizontal well is divided into three regions,in which flow medium,seepage mechanism,and factors affecting the productivity are different. To be consistent with the actual production,the productivity equations of three stages were established respectively,and eventually a full cycle productivity prediction model was established considering the whole production process. By applying the model to practical examples,calculated values are basically similar to actual values. The results show that the model can be applied to practical tight oil reservoirs to predict the productivity of fracturing horizontal wells and analyze the effects of some factors on oil production,thus the results of analysis play a guiding role in the development of tight oil reservoirs.关键词
致密油/压裂水平井/产能/启动压力梯度/压敏效应Key words
tight oil/fractured horizontal well/productivity/threshold pressure gradient/pressure-sensitive effect分类
能源科技引用本文复制引用
魏漪,冉启全,童敏,王志平..致密油压裂水平井全周期产能预测模型[J].西南石油大学学报（自然科学版）,2016,(1):99-106,8.基金项目
国家高技术研究发展计划（863计划）（2013AA064902）。 （）
