Research And Implementation Of Assessment For Producing Capacity Based On Workflow

With the development of the society, the informationalization of each industry keeps improving. All the activities around oilfield production demand the cooperation among various posts and divisions, with all aspects of work closely linked. In order to solve the problem of the poor quality of information sharing and the low efficiency of coordination and communication between divisions, a modern, informationalized and internet-based way to improve the efficiency of production is in urgent need. This thesis studies the capacity assessment method based on workflow which quantifies the execution efficiency of each position, so as to improve the productivity.Firstly, this thesis analyzes the common workflow modeling methods, aiming at the specific process of production activities and the transfer mode between them, then the workflow model, which is suitable for the production stage transformation, was established, and the composition and the state transformation mechanism of it were given in detail. Secondly, based on the workflow model, it presents an evaluation method to assess the completion of each production node. The determining factors influencing the evaluation method of assessment criteria were analyzed, in view of the evaluation criteria of assessment of each node and its influencing factors, the scientific appraisal indicators were obtained by using particle swarm optimization algorithm.The assessment method, based on workflow, studied in this thesis, can be applied to the oilfield production activities such as data collecting, business flow, progress tracking, information sharing, and inspection reporting etc. It can realize the informatization of conventional working process management, make all work more closely connected and information reporting more timely, demarcate the responsibility clearly, and improve the efficiency of the new wells put into production.