Design And Production Logging Interpretation Support System Platform

With the trend of oilfield production informatization and the implement of "digital oilfield" strategy, logging technology and other related technologies have developed rapidly, the level of log interpretation has also obtained a certain enhancement. Log interpretation showing trends from the qualitative and quantitative interpretation stage to analysis evaluation stage, from single well to multiple wells, from single discipline to comprehensive disciplines which combined with other disciplines. The basic information, logging case knowledge, document information and logging interpretation results and so on, which collected from well logging process have significant increased. Do interpretation and management for logging data gradually become an important work for oil service enterprises.The research of this thesis based on the project "Production Logging Comprehensive Interpretation Support System Platform". The main works according to the deepen development needs which put forward after the acceptance of the first phase of this project are as follows:1) Architecture Optimization design. This thesis firstly introduced the critical demands of the logging interpretation platform and referenced the idea of service-oriented architecture to optimize the design of the system architecture.2) Business Modeling. Carried out the use case modeling and domain modeling on the system platform modules which need to be improved and perfected. In order to increase the level of openness and integration of this system, this thesis researched the methods of software interface design which based on XML, then gived examples of the system interface design.3) Massive logging data processing. Facing with the increasingly expanding oil well logging data, this thesis started from the PostgreSQL table partitioning strategy to research data storage balance, and the structure of the distributed database log data partitioning strategy of the first project phase design has been adjusted to improve the current distributed database processing. Implemented the massive logging data's distributed query through the cluster technology. 4) Case retrieval based on the index. For the unstructured logging case knowledge management generated during the production logging. This thesis studied the case retrieval algorithm based on the index, This thesis improved the case retrieval technology based on the sentence vector space model which has been studied in the first project phase and put forward a "Grape Trellis Index Model" for case.5) Platform implementation.At the end of this thesis, it introduced the implementation method and running interface of some modules about the system platform.This study not only standardized the development of the "Production Logging Comprehensive Interpretation Support System Platform", improved the openness, scalability and integration of the system, but also refined and improved part modules of the "Production Logging Comprehensive Interpretation Support System Platform", enhanced the function of the system platform. Which solved the needs of the deepen development of the project in some extent and meet the the practical application of the oil enterprise.