Development And Application Of Real-time Monitoring System For Inefficient Drilling

Drilling is an indispensable way and link in every stage of oil exploration and development.With the deepening of petroleum exploration and development,the construction difficulty and well depth of oil and gas exploitation are gradually increasing,which leads to a significant increase in the overall drilling volume and construction difficulty.Under the current fluctuating trend of low oil price,drilling engineering is particularly sensitive to the overall drilling efficiency and comprehensive economic benefits.As the main tool widely used in petroleum drilling,the continuous operation of cone bit after wear failure will inevitably lead to low drilling efficiency.Accurate identification of the timing of wear and replacement of cone bits can effectively reduce the drilling inefficiency caused by inadequate replacement of failed bits.Therefore,this paper develops an inefficient drilling monitoring system that can use geodetic drilling engineering parameters to identify the replacement of wear cone bits,and achieves the following results:1.The working mode,wear mechanism and mechanical specific energy theory of cone bit are studied.The direct correlation between wear failure of cone bit and drilling inefficiency is determined.Based on the analysis and research of classical optimization drilling theory,the real-time calculation model of tooth wear and the real-time calculation model of optimal tooth wear of cone bit are established.2.Analyzing the engineering practice,confirming that the classical optimization drilling theory is not suitable for engineering practice,and combining with the theory of mechanical specific energy,improving it:calculating the real-time mechanical specific energy change rate,replacing the cutting limit wear in the theory by comparing with the set threshold value;combining the real-time mechanical specific energy trend when the bit bearing is seriously worn with the characteristics of the torque curve of the turntable Support Vector Machine(SVM)is used to establish bearing failure early warning model to replace the calculation of bearing wear in classical optimization drilling theory.The engineering adaptability improvement of the classical optimization drilling theory applied to the identification of wear and replacement of cone bit is completed.3.Based on the improved optimization theory,the identification process of wear cone bit replacement is analyzed and determined.The selection of monitoring parameters is completed.According to the engineering practice,a data acquisition system adapted to the real-time monitoring system of drilling inefficiency is designed,which provides data support for the real-time identification of wear and tear of drilling inefficiency.4.According to the calculation model of wear bit replacement judgment,the overall architecture design of drilling low-efficiency real-time monitoring system is completed,the software part of the system database and client is developed,the integration of software and hardware of the system is completed,and the field application test is carried out.Tests show that the system can realize real-time identification of wear cone bit replacement and effectively solve the problem of low drilling efficiency caused by the continuous operation of failure bit replacement lag.The drilling low-efficiency real-time monitoring system developed in this paper can provide effective data support for field constructors to identify the wear and tear of cone bits under the condition of low cost of real-time data of drilling engineering only relying on surface measurement,and has good engineering applicability.