Shallow subsurface detection of buried weathered hydrocarbons using GPR and EMI

被引:6
|
作者
Haynie, Kirstie L. [1 ]
Khan, Shuhab D. [1 ]
机构
[1] Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77004 USA
关键词
Oil spill; Weathered oil; Buried oil; GPR; EMI; GROUND-PENETRATING RADAR; OIL-SPILL; ELECTROMAGNETIC INDUCTION; CRUDE-OIL; DEPOSITS;
D O I
10.1016/j.marpetgeo.2016.06.006
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Weathered hydrocarbons, commonly emulsified or in the form of tar balls, wash ashore along beaches due to natural oil seepages or offshore oil spills. They remain buried in the sand until a storm or erosion exposes them; therefore it is important to understand the progression and extent of these hydrocarbons. Elmer's Island, Louisiana, a site known for having large amounts of oil washed ashore from the 2010 Deepwater Horizon oil spill, was selected for a geophysical survey in order to detect the presence of buried weathered oil. Two survey trips to Elmers Island were carried out using 200 MHz, 400 MHz, and 900 MHz ground penetrating radar (GPR) antennas. The 400 MHz data show two distinct anomalous layers with positive amplitudes and 900 MHz data show anomalous features that also display positive amplitudes. An electromagnetic induction (EMI) tool, used over the same traverses as GPR, provided insight into subsurface conductivity. The conductivity maps from the first survey trip display rows of anomalies and two large anomalous zones. These anomalous zones correspond with the 400 MHz GPR data. During the second survey trip, a three-dimensional GPR survey was conducted over a small grid where similarities between the two instruments were evident. Field observations confirmed the existence of contaminated sand (beach sand that enclosed small aggregates of weathered hydrocarbons) and tar balls buried at the survey site in distinct layers. These contaminated sand layers are most likely associated with the anomalies found on both the GPR and EMI data. Thus, a strong correlation with GPR and EMI anomalies co-locating buried weathered hydrocarbons suggests they can be used in future oil spill clean up efforts to map the extent of these hazardous materials. This integrated technique also has implications for the investigation of other buried features. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:116 / 123
页数:8
相关论文
共 50 条
  • [1] Enhanced Buried UXO Detection via GPR/EMI Data Fusion
    Masarik, Matthew P.
    Burns, Joseph
    Thelen, Brian T.
    Kelly, Jack
    Havens, Timothy C.
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXI, 2016, 9823
  • [2] Buried object detection by using GPR
    Sezgin, M
    Tasdelen, I
    PROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2004, : 599 - 602
  • [3] Investigation of the Effects of Buried Object Orientation in Subsurface Target Detection by GPR
    Dogan, Mesut
    Turhan-Sayan, Gonul
    PROCEEDINGS OF 2017 7TH IEEE INTERNATIONAL SYMPOSIUM ON MICROWAVE, ANTENNA, PROPAGATION, AND EMC TECHNOLOGIES (MAPE), 2017, : 475 - 479
  • [4] Sensor fusion performance gain for buried mine/UXO detection using GPR, EMI, and MAG sensors
    Marble, JA
    Ackenhusen, JG
    Wegrzyn, JW
    Mancuso, J
    Dwan, C
    DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS V, PTS 1 AND 2, 2000, 4038 : 1473 - 1484
  • [5] Comparative Study of GPR Acquisition Methods for Shallow Buried Object Detection
    Smogavec, Primoz
    Pongrac, Blaz
    Sarjas, Andrej
    Kafedziski, Venceslav
    Doncov, Nabojsa
    Gleich, Dusan
    REMOTE SENSING, 2024, 16 (21)
  • [6] Multimodal adaptive landmine detection using EMI and GPR
    Marble, JA
    Yagle, AE
    Hero, AO
    Detection and Remediation Technologies for Mines and Minelike Targets X, Pts 1 and 2, 2005, 5794 : 1209 - 1216
  • [7] INTERFERENCE EFFECTS OF SHALLOW BURIED TARGETS ON A GPR
    Arendt, Bernd
    Walter, Thomas
    Mayer, Winfried
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 4360 - 4363
  • [8] Robust adaptive detection of buried pipes using GPR
    Hoarau, Q.
    Ginolhac, G.
    Atto, A. M.
    Nicolas, J. M.
    SIGNAL PROCESSING, 2017, 132 : 293 - 305
  • [9] Real time detection of buried objects by using GPR
    Sezgin, M
    Kurugöllü, F
    Tasdelen, I
    Öztürk, S
    DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS IX, PTS 1 AND 2, 2004, 5415 : 447 - 455
  • [10] Robust Adaptive Detection of Buried Pipes using GPR
    Hoarau, Q.
    Ginolhac, G.
    Atto, A. M.
    Nicolas, J. M.
    Ovarlez, J. P.
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 533 - 537