钻井参数优化技术的研究现状与发展趋势

发布时间：2018-02-26 10:49

本文关键词： 钻井参数研究现状发展趋势云技术　出处：《石油机械》2016年02期 　论文类型：期刊论文

【摘要】：随着海洋及地下开采条件日趋复杂、加之钻井工程技术、工具设备及检测仪表技术不断发展,与其相关的随钻检测技术和计算机应用技术也有了长足发展,特别是云计算技术的出现,对钻井参数优化技术发展提供了新的解决途径。总结了国内外钻井参数优化技术研究现状,指出该技术未来的发展趋势:1向实时、动态的智能全方位方向发展;2从线性规划向非线性规划发展,从确定性向不确定性发展;3从海量的油田数据中挖掘,逐步实现钻井控制优化由数字化向智能化转变。
[Abstract]:With the increasing complexity of marine and underground mining conditions, as well as the continuous development of drilling engineering technology, tool equipment and instrumentation technology, the technology of drilling while drilling detection and computer application technology, which are related to it, have also made great progress. In particular, the emergence of cloud computing technology provides a new solution to the development of drilling parameter optimization technology. This paper summarizes the research status of drilling parameter optimization technology at home and abroad, and points out that the future development trend of this technology is real-time. Dynamic intelligence is developing from linear programming to nonlinear programming, from certainty to uncertainty to mining from massive oil field data, and the optimization of drilling control is gradually transformed from digitalization to intelligence.
【作者单位】：陕西省钻机控制重点实验室;西安石油大学;
【基金】：陕西省自然科学基金项目“基于随钻测量地层识别的智能钻参优化方法的研究”(2012JQ8046) 博士启动基金项目“基于油藏随机建模的钻井过程动态控制和优化”(2014BS43)
【分类号】：TE21

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