Research And Implementation Of Collaborative Work Methods Of Well Logging Platform

The release of CIFLog software change the contradictions in current domestic and foreign software use of logging interpretation, The software was developed with focus on achieving logging interpretation technology is implemented in a stand-alone operation mode. But with the rapid development of network technology, more and more log data needs to be shared, and thelogginginterpretationexpertswhoarenotinlocal can’t get logging dataacrossthe internet, so they can’t help other local users analyzing loggingdata. So inevitably want to expand their network sharing feature, but if rewrite the code for network sharing features, the system needs comprehensive reform, so that a great deal of technical risk. In addition, because CIFLog integrated platform to support network database data and file data locally, so the need for two different data models to analyze these issues.To solve the above problem, this article with CIFLog logging interpretation platform as the research object, start from the analysis of traditional stand-alone resource isolation defects of logging interpretation, to find an effective method for improving the efficiency of logging interpretation. From CIFLogintegration platform support local file data and network database data perspective, research the two kinds of data need what mechanism of collaborative work. According to the local file data,based on the copy of the same way to solve the collaborative data consistency, through the analysis of a variety of cope consistency updating algorithm, finally choice ofapplication of ant colony algorithm as the cooperation datacopy consistency method. For network data, based on the collaborative operation of concurrency control to solve sharing of dataconsistency in the network database data, and put forward a way toconcurrency control method of operation merge requirement. Combined logging technology and information technology, through networkestablish integrated platform of data resources and application software. Finally realize the many people coordinated logging interpretation and implementation of different local the resource sharing, so as to improve the timeliness and objectivity of logging interpretation.Through the research and implementation of key technologies to prove the feasibility of the system program; The system is good applications in logging interpretation that also to prove the availability of logging interpretation worksystem.