本文關(guān)鍵詞：游梁式抽油機(jī)工況在線診斷系統(tǒng)及方法的研究　出處：《沈陽工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電參數(shù) 示功圖 不變矩 綜合特征參數(shù) 支持向量機(jī)

【摘要】：游梁式抽油機(jī)采油系統(tǒng)在當(dāng)前石油生產(chǎn)中占有很大比重。抽油機(jī)通常工作環(huán)境惡劣,工況復(fù)雜,系統(tǒng)設(shè)備易于損壞,嚴(yán)重影響了油田采油效率和經(jīng)濟(jì)效益;所以及時掌握油井工況,對實(shí)現(xiàn)采油系統(tǒng)自動監(jiān)控和科學(xué)管理而言十分重要。示功圖是判斷抽油機(jī)井工作狀況的重要依據(jù)之一,但傳統(tǒng)的示功圖采集方法存在傳感器成本高且易損壞、工序繁雜反饋信息慢等不足。因此,本文在詳細(xì)分析抽油機(jī)采油系統(tǒng)工作特性及損耗的基礎(chǔ)上,提出通過電參數(shù)間接測量油井示功圖的方法,并采用支持向量機(jī)技術(shù)對抽油機(jī)工況進(jìn)行智能診斷。本文以能量守恒為依據(jù),運(yùn)用復(fù)變矢量法建立抽油機(jī)懸點(diǎn)位移的數(shù)學(xué)模型,并推演出電參數(shù)與光桿載荷關(guān)系及懸點(diǎn)載荷與位移關(guān)系的函數(shù)關(guān)系式。同時運(yùn)用Matlab軟件對電參數(shù)法間接測量抽油機(jī)示功圖方法進(jìn)行計(jì)算分析。針對示功圖的圖形特點(diǎn),運(yùn)用不變矩方法,提取示功圖的7個不變矩特征值,并結(jié)合抽油機(jī)運(yùn)行時的基本參數(shù)組成綜合特征參數(shù),建立綜合特征參數(shù)樣本庫。并在此基礎(chǔ)上,研究基于支持向量機(jī)的油井工況分類識別方法,分析了不同核函數(shù)以及不同懲罰因子C與核寬度g的參數(shù)組合對分類準(zhǔn)確率的影響,并通過LibSVM分別對不變矩特征參數(shù)樣本和綜合特征參數(shù)樣本進(jìn)行仿真實(shí)驗(yàn)。理論分析和仿真實(shí)驗(yàn)表明,電參數(shù)法間接測量的等效示功圖可以有效反映油井工況;綜合特征參數(shù)結(jié)合支持向量機(jī)的游梁式抽油系統(tǒng)工況診斷方法,可以更準(zhǔn)確的對油井工況進(jìn)行識別。
[Abstract]:The oil extraction system of beam pumping unit occupies a large proportion in the current oil production. The pumping unit usually works in a bad environment and complex working conditions, and the system equipment is easy to be damaged, which seriously affects the oil recovery efficiency and economic benefit. Therefore, it is very important to realize the automatic monitoring and scientific management of oil production system to grasp the working conditions of oil wells in time, and the indicator diagram is one of the important basis for judging the working condition of pumping wells. However, the traditional method of collecting indicator diagram has the disadvantages of high cost and easy damage of sensor, slow feedback information and so on. Therefore, this paper analyzes the working characteristics and losses of oil extraction system of pumping unit in detail. A method of indirectly measuring well indicator diagram by electrical parameters is presented, and support vector machine (SVM) technology is used to make intelligent diagnosis of pumping unit working conditions. This paper is based on conservation of energy. The mathematical model of suspension displacement of pumping unit is established by using complex variable vector method. The functional relationship between electric parameter and light rod load and between suspension load and displacement is derived. Meanwhile, the method of indirect measurement of power diagram of pumping unit by electric parameter method is calculated and analyzed by Matlab software. The graphic features of the work graph. The method of moment invariant is used to extract the eigenvalues of 7 invariant moments of the dynamometer, and combined with the basic parameters of the pumping unit to form the comprehensive characteristic parameters, and the sample database of the integrated characteristic parameters is established. The classification and recognition method based on support vector machine (SVM) is studied, and the effect of different kernel function and the combination of different penalty factor C and kernel width g on the classification accuracy is analyzed. The simulation experiments of moment invariant parameter samples and synthetic feature parameter samples are carried out by LibSVM. The theoretical analysis and simulation results show that. The equivalent indicator diagram measured indirectly by the electric parameter method can effectively reflect the working conditions of the oil well. Combining characteristic parameters with support vector machine (SVM), the condition diagnosis method of beam pumping system can be used to identify the working conditions of oil wells more accurately.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TE933.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李翔宇;高憲文;侯延彬;王宏日;;游梁式抽油機(jī)懸點(diǎn)負(fù)載耦合動力學(xué)建模[J];東北大學(xué)學(xué)報(自然科學(xué)版);2016年09期

2 孫東;;抽油機(jī)電參數(shù)遠(yuǎn)程智能故障診斷技術(shù)研究[J];自動化儀表;2012年05期

3 續(xù)秀忠;蔣姍;;橋吊實(shí)時工況統(tǒng)計(jì)分析與預(yù)測[J];上海海事大學(xué)學(xué)報;2010年04期

4 趙海濤;史明義;檀朝東;關(guān)成堯;呂銳;;抽油機(jī)井綜合利用多元數(shù)據(jù)進(jìn)行工況診斷的研究[J];中國石油和化工;2009年03期

5 唐建東;吳利文;劉松林;;無線監(jiān)測示功儀的研制與應(yīng)用[J];石油機(jī)械;2006年09期

6 王國勝;;核函數(shù)的性質(zhì)及其構(gòu)造方法[J];計(jì)算機(jī)科學(xué);2006年06期

7 柴滿洲;抽油機(jī)井電功率實(shí)時監(jiān)控系統(tǒng)的開發(fā)[J];江漢石油學(xué)院學(xué)報;2003年03期

8 許濤,梅云,凌晨,郭運(yùn)平,張麗穎,佘理鴻;示功儀無線傳輸傳感器的研制與應(yīng)用[J];石油機(jī)械;2003年08期

9 馬廣杰,張繼震,孫景麗,張緒龍;連續(xù)實(shí)時抽油井工況巡檢系統(tǒng)介紹[J];油氣井測試;2001年03期

10 董世民,馬德坤,李學(xué)豐;游梁式抽油系統(tǒng)動態(tài)參數(shù)仿真的綜合數(shù)學(xué)模型[J];石油機(jī)械;2001年06期

，

本文編號：1432225