Research on Well Leakage in Drilling Based on Bayesian Network
XU Zh · Journal of Oil and Gas Technology · 2013
In well drilling,lost circulation was often induced,how to obtain higher efficient and safety of operation of the drilling was the problem that was faced by the technicians of exploration,technology.If the problem of lost circulation was not handled in time,well collapse or blowout would be caused,so it was important to handle it in time and restore the normal operation,the probe that there existed complex factors inducing the lost circulation,it would cause difficulty for controlling it.The development of petroleum exploration and development technology,the drilling technology are increasingly high requirements.In the process of drilling,drilling fluid often occurs leakage.How to make more efficient use of drilling technology,more security is all exploration and technical personnel problems.If the leakage is not timely processing,it will cause the collapse,well blowout accident,so the timely processing of well leakage recovery is a very important work.The difficulty lies in the relationship between the various factors causing leakage is more complex,and difficult to control it.In order to solve the problem,the bidirectional reasoning of Bayesian network is adopted to grasp the common cause and the relationship between various factors,thus the well leakage probability inference is more accurate than the original one.The examples prove that the method can solve the problem of reliability analysis ofthe lost circulation,and the Bayesian network has a higher accuracy for solution.