摘要
针对物化录井技术在生产应用中存在的问题,将数学理论与计算机技术相结合,在单项物化分析数据量化解释评价的基础上,融合BP神经网络等多种计算机技术与数学处理方法,利用多项物化分析参数,建立了适合区域特点的解释评价标准,开发出物化分析数据处理与评价系统软件,并在5口井现场应用中取得实效,解决了物化录井解释评价过程量化难、解释精度低的技术难题,实现了现场实时分析与及时评价。
In accordance with the problems existed in applying physicochemical logging technique in production, combining mathematical theory with computer technology, on the basis of making quantitative interpretation and evaluation to a single physicochemical analysis data, merging with various computer techniques, such as BP neural net, and numerical treatment method, making use of multiple physicochemical analysis parameters, the interpretation and evaluation criteria were set up, which were suited to the regional characteristics, and the physicochemical analysis data treatment and evaluation system software was also developed. Through on-site applying it in five wells , it made substantial results, thereby quite well resolving the technical problems that during physicochemical logging interpretation and evaluation, quantization was difficult, and the interpretation accuracy was low, realizing on-site real time analysis and promptly evaluation.
出处
《录井工程》
2006年第B12期37-41,共5页
Mud Logging Engineering
关键词
系统设计
单项评价
综合评价
多组判别
神经网络
应用效果
system design, single item evaluation, comprehensive evaluation, multi-group differentiation, neural net, application result
