MANYETİK ÖZELLİK GÖSTEREN GÖMÜLÜ BİR CİSMİN SINIR ANALİZİ VE NTG YÖNTEMLERİYLE KONUMUNUN BELİRLENMESİ

Bu çalışmada yüzeye yakın gömülü bir cismin yerinin belirlenmesi test edilmiştir. Bu kapsamda, Karadeniz Teknik Üniversitesi Kanuni kampüs alanı içerisinde uygulama alanı olarak seçilen bir sahaya daha önceden boyutları ve konumu belli olan kullanım süresi bitmiş bir adet metalik özelliğe sahip MR cihazı test amaçlı olarak gömülmüştür. Bu cihazın gömülü olduğu alanda birçok profilde, toplam manyetik alan ölçüleri alınmış ve alınan ölçülerden elde edilen veriler haritalanmıştır. Sonra, toplam manyetik alan verilerine kutba indirgeme işlemi uygulanmış ve elde edilen yeni veriler haritalanmıştır. Kutba indirgenmiş verilere analitik sinyal, toplam yatay türev ve birinci düşey türev teknikleri uygulanmıştır. Daha sonra, kutba indirgenmiş veri haritasında belirlenen, gömülü cisim üzerinden geçen bir profil seçilerek, bu profildeki verilere normalize tam gradyent (NTG) yöntemi uygulanmıştır. Yapılan bu çalışma sonucunda gömülü cismin yanal sınırları ve derinliği belirlenebilmiştir.

DETERMINING THE POSITION OF A EMBEDDED OBJECT WITH MAGNETIC FEATURES BY BOUNDARY ANALYSIS AND NTG METHODS

In this study, determination of the location of an object buried close to the surface was tested. In this context, an expired metallic MR device, whose dimensions and location were previously determined, was buried in a field selected as the application area within the Karadeniz Technical University Kanuni campus area for testing purposes. The total magnetic field measurements were taken in many profiles in the area where this device was embedded, and the data obtained from the measurements were mapped. Then, the reduction process to the pole was applied to the total magnetic field data and the new data obtained were mapped. Analytical signal, total horizontal derivative and first vertical derivative techniques have been applied to the data reduced to the pole. Then, a profile that passes over the buried object, determined in the data map reduced to the pole, was selected, and the normalized full gradient (NFG) method was applied to the data in this profile. As a result of this study, the lateral boundaries and depth of the buried object could be determined.

PDF

___

[1] Arısoy, M. Ö., Dikmen, Ü., 2011. Potensoft: MATLAB-based Software for potential field data processing, modelling and mapping. Computer & Geosciences, 37, 935–942.
[2] Aydın A,; Evulation of Gravity Data in Terms of Hydrocarbon by Normalized Full Gradient, Variation and Statistic Methods, Model Studies and Application in Hasankale–Horasan Basin (Erzurum). Ph. D. Thesis, Karadeniz Technical University, Natural and Applied Sciences, Trabzon, Turkey, (1997).
[3] Aydın, A., Sipahi, F., Karslı, H., Gelişli, K., and Kadirov, F.; Interpretation of Magnetic Anomalies on Covered Fields Using Normalized Full Gradient Method, International Geoscience Conference and Exhibition, 15 – 18 September 1997, Moscow, D3. 4p (1997).
[4] Berezkin, V.M., Filatov, V.G. and Bulychev, E.V. (1994), Methodology of the aero-magnetic data interpretation with the aim of direct detection of oil and gas deposits, Geofizika, Nr.5, 38 – 43.
[5] Bilim, F., & Ates, A. (2003). Analytic signal inferred from reduced to the pole data. Journal of the Balkan Geophysical Society, 6, 66-74.
[6] Bilim, F., &Ates, A. (2005). Analitik Sinyal yöntemlerinin manyetik model verileri üzerinde karşılaştırılması. İstanbul Üniv. Müh. Fak. Yerbilimleri Dergisi, C. 18, S. 2, SS. 151-162.
[7] Clarke, G.K.C.; Optimum second – derivative and downward continuation filters. Geophysics 34, 424 – 437, (1969).
[8] Cooper, G. R. J., Cowan, D. R., 2006. Enhancing potential field data using filters based on the local phase. Computers and geosciences, 32 (10), 1585-1591.
[9] Elmas, A. (2018), Kıbrıs Adasındaki Yapısal Süreksizliklerin EGM08 Gravite Verileri Kullanılarak Belirlenmesi, Jeoloji Mühendisliği Dergisi, 42, 17-32 (DOI: 10.24232/jmd.434135)
[10] Fuller, B.D.; Two–dimensional frequency analysis and design of grid operators. Mining Geophysics 2, p. 658 – 708, (1967).
[11] Pham, L.T; Eldosouky, A.M.; Oksum, E.; Saada, S.A. (2020). A new high resolution filter for source edge detection of potential field data, Geocarto International, DOI: 10.1080/10106049.2020.1849414
[12] Mesco, A.; Digital filtering application in geophysical exploraiton for oil. Akademiai Kiado, Pitman Publishing Ltd., and Halstedpress (1984).
[13] Nabighian, M.N. (1972). The analytic signal of two dimensional magnetic bodies with polygonal cross-section: its properties and use for automated anomaly interpretation. Geophysics, 37, 507- 517.
[14] Nabighian, M.N. (1974). Additional comments on the analytic signal of two dimensional magnetic bodies with polygonal cross-section. Geophysics, 39, 85-92.
[15] Oksum E., Le D.V., Vu M.D., Nguyen T.H.T., Pham L.T. (2021) (On-line first). A novel approach based on the fast sigmoid function for interpretation of potential field data. Bollettino di Geofisica Teorica ed Applicata, DOI: 10.4430/bgta0348
[16] Oruç, B., Keskinsezer, A. (2007), Normalize Tam Gradyent Yöntemi İle Petrol Sahalarindaki Manyetik Temel Kaya Ondülasyonunun Modellenmesi IPETGAS 2007.
[17] Pham, L.T., Oksum, E., Do, T.D. (2019). Edge enhancement of potential field data using the logistic function and the total horizontal gradient. Acta Geodaetica et Geophysica 54, 143-155.
[18] Pham, L.T., Oksum, E., Do, T.D., Le-Huy, M., Vu, M.D., Nguyen, V.D. (2019). LAS: A combination of the analytic signal amplitude and the generalised logistic function as a novel edge enhancement of magnetic data, Contributions to Geophysics and Geodesy 49(4), 425–440.
[19] Pham L.T., Oksum E., Do T.D., Le-Huy M., (2018). New method for edges detection of magnetic sources using logistic function. Geofizichesky Zhurnal 40(6), 127-135.
[20] Reid, A. B. Allsop, J. M. Granser, H. Millett, A. J., & Somerton, I. W. (1990). Magnetic interpretation in three dimensions using Euler Deconvolution. Geophysics, 55, 80-91.
[21] Spector, A., & Grant, F. S. (1970). Statistical models for interpretation aeromagnetic data. Geophysics, 22, 359-383.
[22] Thompson, D.T. (1982). EULDPH: A new technique for making computer-assisted depth estimates from magnetic data. Geophysics, 47, 31-3.