本文關(guān)鍵詞： 鉆井參數(shù) 研究現(xiàn)狀 發(fā)展趨勢 云技術(shù)　出處：《石油機(jī)械》2016年02期 　論文類型：期刊論文

【摘要】：隨著海洋及地下開采條件日趨復(fù)雜、加之鉆井工程技術(shù)、工具設(shè)備及檢測儀表技術(shù)不斷發(fā)展,與其相關(guān)的隨鉆檢測技術(shù)和計算機(jī)應(yīng)用技術(shù)也有了長足發(fā)展,特別是云計算技術(shù)的出現(xiàn),對鉆井參數(shù)優(yōu)化技術(shù)發(fā)展提供了新的解決途徑。總結(jié)了國內(nèi)外鉆井參數(shù)優(yōu)化技術(shù)研究現(xiàn)狀,指出該技術(shù)未來的發(fā)展趨勢:1向?qū)崟r、動態(tài)的智能全方位方向發(fā)展;2從線性規(guī)劃向非線性規(guī)劃發(fā)展,從確定性向不確定性發(fā)展;3從海量的油田數(shù)據(jù)中挖掘,逐步實現(xiàn)鉆井控制優(yōu)化由數(shù)字化向智能化轉(zhuǎn)變。
[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.
【作者單位】： 陜西省鉆機(jī)控制重點實驗室;西安石油大學(xué);
【基金】：陜西省自然科學(xué)基金項目“基于隨鉆測量地層識別的智能鉆參優(yōu)化方法的研究”(2012JQ8046) 博士啟動基金項目“基于油藏隨機(jī)建模的鉆井過程動態(tài)控制和優(yōu)化”(2014BS43)
【分類號】：TE21

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