Optimization and Application of Drilling Period Prediction Method for Deep Exploration Wells in Daqing

With the rising production cost of drilling and the needs of market expansion at home and abroad, the scientific budget of the cost of deep exploration wells is required, and the accurate and reasonable prediction of drilling period is becoming more and more important. The deep exploration wells in AD area of Daqing SL Basin mainly explore the gas reservoirs of YC formation and SHZ formation, which are characterized by high geothermal gradient, high rock hardness and many complex situations. At the same time, the distribution of volcanic breccia and tuff, the great difference of lithology in different strata and well sections and other factors seriously affect the prediction of drilling period. In this paper, the influence of the above factors on drilling period prediction is analyzed, and the characteristics of drilling production and geological stratification in different areas of AD area of Daqing Oilfield are taken into account. Based on well history data, a set of period prediction methods suitable for deep exploration wells in AD area are selected by using many period prediction methods such as learning curve and periodic quota method. these methods are used to guide the drilling period prediction of deep exploration wells in Daqing Oilfield. The field practice shows that the error range of the improved drilling period prediction is less than 10%. This study has a certain reference significance for the drilling period prediction in oil field.