The Study On Multi-factors Evaluated System Of Drilling Process

The complex, and hidden stratum makes the drilling process prone to many complications and even cause serious accidents. The accidents will affect the well bore quality, drilling speed, spend a lot of manpower, material and money, time, and even threaten the lives of the staff. Therefore, the Safety assessment research of drilling engineering is significant.Aiming at the existent problem of the safety assessment technique on drilling engineering in China, this paper researches the safety assessment deeply and systematically with the feature of drilling engineering, combing security system project, rough-set theory, modern artificial intelligence and computer software engineering, and it establishes the safety assessment System of drilling engineering on rough-set and artificial neural network. The main contents are as follows:First, the paper describes safety assessment, management theories and methods, and analyze the domestic and international safety evaluation management and the status of the safety assessment methods in the application of various industries. Second, based on the HSE management system and the actual drilling cases, establish a multi-factor safety evaluation index system, and according to the characteristic of index systems, the paper study the methods for making the indexes comparable. Third, combining the characteristics of rough-set and artificial neural network, this paper proposes a safety assessment hybrid model of drilling engineering based on rough-set and artificial neural network. The comparative analysis between conventional artificial neural network model and hybrid model carries out through the empirical studies. The results indicate that hybrid model has higher forecast precision and higher efficiency than conventional artificial neural network model.