CAJ | 학술논문

在部署测试监测井点、制定合理的测试时间时，准确预测待测井的曲线类型具有重要的意义。从多组判别分析基本原理出发，结合油田实际监测井点的试井曲线类型，以及各井的测井和生产动态资料，优选出与试井曲线类型相关的井和储层参数，建立曲线类型预判模型。通过多次反复筛选参数并结合总错判率，最终建立了以储层厚度、含水率、测井渗透率和产量为主要因素的八厂油田试井曲线类型预测模型，模型回代错判率为9.09%，现场应用符合率为85.7%，可用于预判待测井曲线类型。研究成果为现场工作人员优化监测井点、制定合理测试时间、提升监测成果质量等提供了科学的指导。
재부서측시감측정점、제정합리적측시시간시，준학예측대측정적곡선류형구유중요적의의。종다조판별분석기본원리출발，결합유전실제감측정점적시정곡선류형，이급각정적측정화생산동태자료，우선출여시정곡선류형상관적정화저층삼수，건립곡선류형예판모형。통과다차반복사선삼수병결합총착판솔，최종건립료이저층후도、함수솔、측정삼투솔화산량위주요인소적팔엄유전시정곡선류형예측모형，모형회대착판솔위9.09%，현장응용부합솔위85.7%，가용우예판대측정곡선류형。연구성과위현장공작인원우화감측정점、제정합리측시시간、제승감측성과질량등제공료과학적지도。
When deploying monitoring well and setting appropriate time for well test,accurate prediction of well logging curve types undoubtedly has important significance. Based on the principle of multiple discriminant analysis we combine the reality well test curve types and the well logging and production performance data of oilfield monitored wells,we optimize the well and reservoir parameters through repeated screening parameters. In the end,we established a model considering reservoir thickness, moisture content,logging permeability and the oil production. The result of the error rates is 9.09%and the coincidence rate is 85.7%,which means the model can be used in anticipation for logging curve type. This method provides a scientific and reasonable guidance for workers to formulate reasonable testing time,optimize the monitoring well and improve the quality of monitoring results.