The Ninth Oil Production Factory Of Daqing's Supporting Production And Analysis System

With deeply applying of computer, every enterprise has accumulated plenty of production and business data. How to use this data effectively for correct decision is the importance keeping the enterprise existing and development. Basing on gathering these data, data warehouse support not only online analytical processing but also the function of traditional inquiry and report form. It can make every kind of people in the enterprise obtain the useful information from these large amount of disordered data quickly, conveniently and alternately. Mean while, data warehouse also support data mining technology and serve for decision of enterprise policy and develop the competition of the enterprise.The Ninth Oil Production Factory's supporting production and analysis system introduces in this paper adopts data warehouse technology. Contacting with the manager and technical staff, the system clears up and integrates a large amount of history produce data that the Ninth Oil Production Factory accumulate over the past 18 years, dispels many kinds of data source and data inconsistent question. It stores data in unison according to the theme that is produced and developed, and improves the rate of accuracy of the data and utilizes efficiency.The system, in the situation that the data warehouse is perfect progressively, utilizing online analytical processing technology analyses data from deferent side and deals with synthetically, It can look for or produce the data for relevant manager and technical staff interested in fast, thus make more rational production adjustable scheme offer fast, overall, accurate data basis for them.The paper analyses especially the neural network technology in data mining technology finally, and adopted radial base function network technology among them, the system set up a neural network model of the success of single well building for the demanding prompt solution of building-well schemes, andcalculate the success rate of every damage well in the Ninth Oil Production Factory, confirm building well schemes, arrange production progress through using the neural network technology. According to build well scheme data training network model. Comparing with the training result and actual result, the rate of accuracy is up to 86.1% actually. It shows that the technology can play its important role in the oil field production. At the same time it can also offer a good technical support the feasibility and validity of the damage well studying and researching with this technology and other application.