發(fā)布時(shí)間：2018-03-29 06:25

  本文選題：動態(tài)成像　切入點(diǎn)：自然電場　出處：《Transactions of Nonferrous Metals Society of China》2017年08期

【摘要】：提出了自然電場數(shù)據(jù)的動態(tài)成像方法。基于達(dá)西定律和阿爾奇公式,構(gòu)建模擬孔隙介質(zhì)中金屬離子運(yùn)動的動態(tài)模型。采用能斯特方程計(jì)算金屬離子的氧化還原電位。在此基礎(chǔ)上建立自然電場監(jiān)測金屬離子活動的狀態(tài)模型和觀測模型,利用擴(kuò)展卡爾曼濾波技術(shù)對金屬離子活動過程進(jìn)行動態(tài)成像。模擬數(shù)據(jù)測試結(jié)果表明,該方法能有效將金屬離子運(yùn)動模型與自然電場觀測數(shù)據(jù)融合,實(shí)現(xiàn)動態(tài)成像。進(jìn)一步沙箱監(jiān)測實(shí)驗(yàn)表明,自然電場法可以有效監(jiān)測金屬離子污染,利用動態(tài)成像方法可以有效重構(gòu)金屬離子的擴(kuò)散過程。
[Abstract]:Based on Darcy's law and Archie's formula, a dynamic imaging method for natural electric field data is proposed. A dynamic model of metal ion movement in porous media was established. The redox potential of metal ions was calculated by Nernst equation. Based on this model, a state model and an observation model for monitoring metal ion activity by natural electric field were established. The dynamic imaging of metal ions is performed by using extended Kalman filter technique. The simulated data show that the proposed method can effectively fuse the metal ion motion model with the natural electric field observation data, and the simulation results show that the proposed method can effectively fuse the metal ion motion model with the natural electric field observation data. Further sandbox monitoring experiments show that the natural electric field method can effectively monitor metal ion contamination and the diffusion process of metal ions can be reconstructed by using dynamic imaging method.
【作者單位】： 中南大學(xué)地球科學(xué)與信息物理學(xué)院;中南大學(xué)有色資源與地質(zhì)災(zāi)害探查湖南省重點(diǎn)實(shí)驗(yàn)室;中南大學(xué)教育部有色金屬成礦預(yù)測重點(diǎn)實(shí)驗(yàn)室;
【基金】：Project(41574123) supported by the National Natural Science Foundation of China Project(2013FY110800) supported by the National Basic Research Scientific Program of China
【分類號】：O657.1;X830
，

本文編號：1679923