无因次采液指数曲线形态特征的影响因素

Factors affecting shape of dimensionless fluid production index curve

陈朝晖 柳茜茜 潘豪 梁丹 邹枫4

油气藏地质及开发工程国家重点实验室，四川 成都 610500 中海油研究总院有限责任公司，北京 100028 海洋石油高效开发国家重点实验室，北京 100028 中国石化中原油田分公司工程技术管理部，河南 濮阳 457001

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China CNOOC Research Institute Limited Liability Company, Beijing 100028, China State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China Department of Engineering and Technology Management, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China

由于储层物性非均质程度及渗流场的差异，由岩心驱替实验数据计算的理论无因次采液指数曲线与矿场监测的油井实际产液能力变化规律之间存在较大偏差。文中分析了水驱渗流过程中影响产液能力的主要因素及其在无因次采液指数曲线形态上的表征；结合水驱油藏渗流场的变化特点，评价了无因次采液指数随近井带地层伤害程度及水驱波及过程的动态变化规律；根据矿场监测数据与理论预测结果的差异，建立了地层伤害程度和水驱波及系数的诊断图版，对比矿场监测无因次采液指数与理论无因次采液指数曲线图版的拟合程度，推测地层伤害的趋势及水驱波及系数。研究表明，该方法可提高油井产液能力的预测精度，并快速诊断油藏的水驱开发效果，扩大了理论无因次采液指数曲线的现场应用范围。

Due to the heterogeneity of reservoir physical properties and the ever-changing seepage field, there is a big deviation between the theoretical dimensionless production index curve calculated from core displacement experimental data and that of the actual productivity change law of wells monitored by the field. In this paper, the main factors affecting fluid production capacity in the process of water flooding percolation and their characterization on the shape of dimensionless production index curves are analyzed, and the dynamic changes of dimensionless production index with formation damage and water flooding sweeping process near wellbore zone are evaluated according to the characteristics of seepage field in water flooding reservoirs. The difference between the data and the theoretical prediction results, the diagnostic chart of formation damage degree and water drive sweep coefficient is established, and the fitting degree between the dimensionless recovery index and the theoretical dimensionless recovery index curve is compared. The trend of formation damage and the sweep coefficient of water drive are predicted. The results show that this method can improve the prediction accuracy of oil well productivity, quickly diagnose the effect of water drive development, and expand the field application scope of theoretical dimensionless production index curve.

10.6056/dkyqt201901014