Oil And Gas Well Test Design And Real-time Optimization Decision System

The reservoir of western south china sea is complex,and it’s difficuld to predict the parameters about reservoir physical property,fluid physical property and productivity before oil and gas well test.So there are lots of uncertainty factors for testing work,and it has a serious impact on well test efficiency and success rate.This paper takes full advantage of ample existing test data and results of well test interpretation,and apply conventional regression analysis method,the BP neural network and multiple linear regression method synthetically.The reservoir parameter prediction models of Different sedimentary types and different areas are established,and the methods for well test design,dynamic real-time online,optimizing and adjusting method are proposed.Based on the windows platform and Qt/C++ mixed programming language,the offshore oil and gas well test design system is developed,which contains parameter prediction module,well test design module,comprehensive analysis module and knowledge base module.At the different actual test stages of well S,well W and well L,the software in this paper generates parameter prediction model flexibly,and constructs the knowledge base for parameter prediction.And it guides to design reasonable working system.During the test process,the software collects test data.and optimizes working system in real time.And production capacity analysis and well test interpretation are realized after the test.On the whole,applying the software has obtained very good application effect.