Design And Implementation Of Liaohe Oilfield Well Logging Information Management System

Liaohe oilfield had the amount of well logging data about 25000 ports since 1970s. The storage of data is different, such as the early data most save on the film or drawing, the lastly data save on the disk. However, the drawing or film is difficult to keep the data for long time, there is the risk of disappearance of some data. As the technology developing, the kinds of data are increasing. Therefore, it is necessary to set up the high efficiency system of information management to keep the large amount of information of well logging and increase the availability ration.During processing of design the well logging data model, this dissertation analyses and studies the landmark software and the mechanism of OpenWorks data memory; uses the PetroBank method of model building of data base; reference the design of POSC exploratory development model; associates the analysis the path of Liaohe well logging occupation and data occupation; uses the Oracle9i data base management system; sets up the data model of Liaohe oilfield well logging which can satisfy the need of developing of Liaohe oil field. The application system includes the management of well logging data and the well logging data browser. The data management system uses the C/S (client/server) structure and the data publish system adopt the B/S (browser/server) structure and Struts framework in browser and query system, program database application code with Java, to make the developed system more reasonably. This paper will discus the process of established well logging database, analyses the process of data collection and deal. The paper will also introduce the construction of well logging database model, the main function of information management of well logging data and the browser and query system. The implementation of system will provide the convenience and speediness and assured data of well logging to product, study and evaluate the analysis of gas and oil. It will afford the intelligence and automation to the management of well logging information and the method of data collection.