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Journal articles on the topic 'Geochemical exploration'

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Author: Grafiati
Published: 10 December 2022
Last updated: 10 March 2023

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1

Angino, Ernest E. "Geochemical exploration 1983." Chemical Geology 56, no. 3-4 (October 1986): 337–38. http://dx.doi.org/10.1016/0009-2541(86)90016-1.

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2

Closs, L. Graham. "Geochemical exploration 1982." Chemical Geology 54, no. 1-2 (January 1986): 177–78. http://dx.doi.org/10.1016/0009-2541(86)90083-5.

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3

Ikramuddin, Mohammed. "Geochemical exploration 1985." Geochimica et Cosmochimica Acta 52, no. 11 (November 1988): 2737. http://dx.doi.org/10.1016/0016-7037(88)90044-0.

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4

Siegel, Frederic R. "Geochemical exploration 1987." Geochimica et Cosmochimica Acta 54, no. 2 (February 1990): 487. http://dx.doi.org/10.1016/0016-7037(90)90338-l.

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5

Cadigan, R. A. "Geochemical exploration 1982." Journal of Volcanology and Geothermal Research 26, no. 3-4 (December 1985): 387–88. http://dx.doi.org/10.1016/0377-0273(85)90068-x.

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6

Verleun, Leo J. "Geochemical exploration 1982." Journal of Geochemical Exploration 27, no. 1-2 (October 1987): 221–22. http://dx.doi.org/10.1016/0375-6742(87)90017-3.

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7

Leybourne, M. I., and E. M. Cameron. "Groundwater in geochemical exploration." Geochemistry: Exploration, Environment, Analysis 10, no. 2 (May 2010): 99–118. http://dx.doi.org/10.1144/1467-7873/09-222.

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8

Horvitz, L. "Geochemical Exploration for Petroleum." Science 229, no. 4716 (August 30, 1985): 821–27. http://dx.doi.org/10.1126/science.229.4716.821.

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9

Zhou, Shuguang, Jinlin Wang, Wei Wang, and Shibin Liao. "Evaluation of Portable X-ray Fluorescence Analysis and Its Applicability As a Tool in Geochemical Exploration." Minerals 13, no. 2 (January 24, 2023): 166. http://dx.doi.org/10.3390/min13020166.

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Large-scale, high-density geochemical explorations entail enormous workloads and high costs for sample analysis, but, for early mineral exploration, absolute concentrations are not essential. Geochemists require ranges, dynamics of variation, and correlations for early explorations rather than absolute accuracy. Thus, higher work efficiency and lower costs for sample analysis are desirable for geochemical exploration. This study comprehensively analyzed the reliability and applicability of portable X-ray fluorescence (pXRF) spectrometry in geochemical exploration. The results show that pXRF can be applied effectively to rock and rock powder samples, and sample preparation and a longer detection time have been shown to increase the precision of the pXRF results. When pXRF is used on rock samples, if less than 30% of the samples are assessed as containing an element, the element is usually undetectable using pXRF when these rock samples are prepared as rock powders, indicating that the data about the detected element are unreliable; thus, it is suggested that some representative samples should be selected for testing before starting to use a pXRF in a geochemical exploration project. In addition, although the extended detection time increased the reliability of the analysis results, an increase in detection time of more than 80 s did not significantly affect the accuracy of the results. For this reason, the recommended detection time for the pXRF analysis of rock powder samples is 80 s for this study. pXRF has the advantages of being low-cost, highly efficient, and stable, and its results are reliable enough to exhibit the spatial distribution of indicator elements (arsenic, nickel, lead, sulfur, titanium, and zinc) in polymetallic mineralization exploration. Therefore, pXRF is recommendable for practical use in geochemical exploration.
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10

Baedecker, Philip A. "Analytical methods for geochemical exploration." Geochimica et Cosmochimica Acta 53, no. 7 (July 1989): 1713. http://dx.doi.org/10.1016/0016-7037(89)90262-7.

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11

Hoffman, Stanley J., and Gerald G. Mitchell. "The Microcomputer in Geochemical Exploration." Journal of Geochemical Exploration 25, no. 1-2 (March 1986): 242–43. http://dx.doi.org/10.1016/0375-6742(86)90031-2.

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12

Rose, Arthur W. "Analytical Methods for Geochemical Exploration." Journal of Geochemical Exploration 42, no. 2-3 (February 1992): 391–92. http://dx.doi.org/10.1016/0375-6742(92)90037-9.

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13

Moeller, P., and G. Morteani. "Geochemical exploration guide for tantalum pegmatites." Economic Geology 82, no. 7 (November 1, 1987): 1888–97. http://dx.doi.org/10.2113/gsecongeo.82.7.1888.

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14

Xueqiu, Wang, and Xie Xuejin. "Unconventional Geochemical Exploration for Gold Deposits." Acta Geologica Sinica - English Edition 9, no. 3 (May 29, 2009): 317–30. http://dx.doi.org/10.1111/j.1755-6724.1996.mp9003008.x.

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15

Robinson, Gene D. "Metal-tolerant bacteria in geochemical exploration." Chemical Geology 82 (1990): 145–58. http://dx.doi.org/10.1016/0009-2541(90)90079-m.

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16

Bochang, Yu, and Xie Xuejing. "Fuzzy cluster analysis in geochemical exploration." Journal of Geochemical Exploration 23, no. 3 (May 1985): 281–91. http://dx.doi.org/10.1016/0375-6742(85)90031-7.

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17

Harmon, Russell, Christopher Lawley, Jordan Watts, Cassady Harraden, Andrew Somers, and Richard Hark. "Laser-Induced Breakdown Spectroscopy—An Emerging Analytical Tool for Mineral Exploration." Minerals 9, no. 12 (November 20, 2019): 718. http://dx.doi.org/10.3390/min9120718.

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The mineral exploration industry requires new methods and tools to address the challenges of declining mineral reserves and increasing discovery costs. Laser-induced breakdown spectroscopy (LIBS) represents an emerging geochemical tool for mineral exploration that can provide rapid, in situ, compositional analysis and high-resolution imaging in both laboratory and field and settings. We demonstrate through a review of previously published research and our new results how LIBS can be applied to qualitative element detection for geochemical fingerprinting, sample classification, and discrimination, as well as quantitative geochemical analysis, rock characterization by grain size analysis, and in situ geochemical imaging. LIBS can detect elements with low atomic number (i.e., light elements), some of which are important pathfinder elements for mineral exploration and/or are classified as critical commodities for emerging green technologies. LIBS data can be acquired in situ, facilitating the interpretation of geochemical data in a mineralogical context, which is important for unraveling the complex geological history of most ore systems. LIBS technology is available as a handheld analyzer, thus providing a field capability to acquire low-cost geochemical analyses in real time. As a consequence, LIBS has wide potential to be utilized in mineral exploration, prospect evaluation, and deposit exploitation quality control. LIBS is ideally suited for field exploration programs that would benefit from rapid chemical analysis under ambient environmental conditions.
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18

Chávez, William X. "Weathering of Copper Deposits and Copper Mobility: Mineralogy, Geochemical Stratigraphy, and Exploration Implications." SEG Discovery, no. 126 (July 1, 2021): 16–27. http://dx.doi.org/10.5382/segnews.2021-126.fea-01.

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Abstract Weathering of pyrite and copper sulfide-bearing rocks produces a consistent series of iron- and copper-bearing minerals that reflect vertical and lateral geochemical changes as supergene solutions react with rock and experience loss of oxidizing capacity. Reactive host rocks, comprising feldspars, mafic minerals, chlorite, and carbonates, buffer pH values that limit copper mineral destruction, thus restricting the supergene transport of copper. Generally, rocks that have undergone well-developed hypogene or supergene hydrolysis of aluminosilicates promote copper mobility because they do not react substantially with low-pH supergene solutions generated by oxidation of pyrite and associated copper sulfides. Development of geochemical stratigraphy is characterized by physical and geochemical parameters that determine the maturity of a supergene profile, with cyclical leaching and enrichment periods critical for the production of economically significant copper accumulation. Evidence for multicycle enrichment is recorded by hematite after chalcocite, hanging zones of copper oxides that replace chalcocite, and hematitic capping overlying immature goethitic-pyritic capping. Because pyrite is the most refractory sulfide with respect to chalcocite replacement, geochemically strong supergene enrichment is independent of total copper added to protore and instead is indicated qualitatively by the degree to which chalcocite replaces pyrite. Covellite replacement of chalcopyrite indicates weak copper addition to protore and generally represents the base and lateral extent of supergene enrichment; covellite replacement of chalcocite indicates incipient copper removal by copper-impoverished supergene solutions. Exploration for, and delineation of, mature supergene enrichment profiles benefits from the recognition of paleoweathering cycles and consequent development of mature geochemical stratigraphy.
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19

Jácome Paz, Mariana Patricia, Daniel Pérez – Zarate, Rosa María Prol-Ledesma, Irving González Romo, and Augusto Rodríguez. "Geochemical exploration in Mesillas geothermal area, Mexico." Applied Geochemistry 143 (August 2022): 105376. http://dx.doi.org/10.1016/j.apgeochem.2022.105376.

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20

Campbell, Katherine. "Exploration-Geochemical Data Analysis With the IBMPC." Technometrics 32, no. 3 (August 1990): 358. http://dx.doi.org/10.1080/00401706.1990.10484711.

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21

Shotyk, W. "The use of peatlands in geochemical exploration." Journal of Geochemical Exploration 29, no. 1-3 (January 1987): 431. http://dx.doi.org/10.1016/0375-6742(87)90119-1.

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22

Lecomte, Paul. "Stone line profiles: Importance in geochemical exploration." Journal of Geochemical Exploration 30, no. 1-3 (January 1988): 35–61. http://dx.doi.org/10.1016/0375-6742(88)90049-0.

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23

Friedrich, G. H. W., D. Nahon, and R. E. Smith. "Workshop 4: Geochemical exploration in lateritic environments." Journal of Geochemical Exploration 32, no. 1-3 (April 1989): 485–91. http://dx.doi.org/10.1016/0375-6742(89)90094-0.

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24

Li, Yinggui, Hangxin Cheng, Xuedong Yu, and Waisheng Xu. "Geochemical exploration for concealed nickel-copper deposits." Journal of Geochemical Exploration 55, no. 1-3 (December 1995): 309–20. http://dx.doi.org/10.1016/0375-6742(94)00065-4.

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25

Zuo, Renguang, Emmanuel John M. Carranza, and Qiuming Cheng. "Fractal/multifractal modelling of geochemical exploration data." Journal of Geochemical Exploration 122 (November 2012): 1–3. http://dx.doi.org/10.1016/j.gexplo.2012.09.009.

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26

Kotelnikov, A. E., V. V. Dyakonov, and A. L. Dergachev. "Exploration of overlapped endogenous mineralization on the basis of paleovolcanic reconstructions." Moscow University Bulletin. Series 4. Geology 1, no. 5 (January 29, 2022): 31–38. http://dx.doi.org/10.33623/0579-9406-2021-5-31-38.

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By these days issues of survey of blind and covered deposits are very actual. High affectivity of geological and prospecting abilities could be achieved only when complex studies have been done which allow to indicate structural elements of explores area and evaluate geological and geochemical potential of prospective areas. In the article the structural and geochemical criterion developed by authors is considered. Its use is preceded by definition of the structural and geological characteristic of the territory based on the method of paleovolcanic reconstruction. At the later stage areas, perspective for detection of an ore mineralization are outlined basing on localization of various type of a mineralization at specified structural units of paleovolcanic structures. Application of geochemical mapping within the perspective areas allows to estimate prospects of the areas, to allocate most perspective sites with their preliminary geochemical estimate.
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27

Xu, Shan, Miao Wang, Chang Chun Liu, and Shou Yi Li. "Evaluation of Gold Geochemical Anomalies in the Liaodong Paleorift." Applied Mechanics and Materials 484-485 (January 2014): 620–27. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.620.

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89 Au geochemical anomalies are delineated by using 1/200000 regional geochemical exploration data. By researching regional geochemical characteristics and the relationship with the geological background, the author points out that: the main factors causing high background of Au geochemical anomalies are Gaixian and Dashiqiao formation of Liaohe group, intrusions of Mesozoic intermediate-acid intrusive rocks. The elements combination types of typical anomalies are determined by using factorial analysis,cluster analysis and other mathematical methods with the combination of elements association in typical anomalies:the composite anomaly of Baiyun gold deposits is Au-As-Sb, Maoling gold deposit is Au-As-Bi-Mo, Wulong gold deposits is Au-As-Bi-W, Xiaotongjiapuzi gold deposit is Au-As-Bi-Mo-Sb. By using multivariate statistical analysis method,62 ore-caused anomaly are preferred in 89 Au geochemical anomalies delineated. On this basis, the 62 anomalies are divided into 4 kinds of anomaly types reference to elements combination types of typical anomalies,the classification results of ore-caused anomalies are: 4 geochemical anomalies of Baiyun type,36 geochemical anomalies of Maoling type,11 geochemical anomalies of Wulong type, 11 geochemical anomalies of Xiaotongjapuzi type. According to the results, the prospecting direction is provided for the future of gold exploration.
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28

Liu, Hanliang, Bimin Zhang, Xueqiu Wang, Zhixuan Han, Baoyun Zhang, and Guoli Yuan. "Application of the Fine-Grained Soil Prospecting Method in Typical Covered Terrains of Northern China." Minerals 11, no. 12 (December 8, 2021): 1383. http://dx.doi.org/10.3390/min11121383.

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In recent years, mineral resources near the surface are becoming scarce, causing focused mineral exploration on concealed deposits in covered terrains. In northern China, covered terrains are widespread and conceal bedrock sequences and mineralization. These represent geochemical challenges for mineral exploration in China. As a deep-penetrating geochemical technology that can reflect the information of deep anomalies, the fine-grained soil prospecting method has achieved ideal test results in arid Gobi Desert covered terrain, semi-arid grassland covered terrain, and alluvium soil covered terrain of northern China. The anomaly range indicated by the fine-grained soil prospecting method is very good with the known ore body location. The corresponding relationship can effectively indicate deep ore bodies and delineate anomalies in unknown areas. Overall, the fine-grained soil prospecting method can be applied to geochemical prospecting and exploration in covered terrains.
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29

Bai, Shi, and Jie Zhao. "A New Strategy to Fuse Remote Sensing Data and Geochemical Data with Different Machine Learning Methods." Remote Sensing 15, no. 4 (February 8, 2023): 930. http://dx.doi.org/10.3390/rs15040930.

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Geochemical data can reflect geological features, making it one of the basic types of geodata that have been widely used in mineral exploration, environmental assessment, resource potential analysis and other research. However, final decisions regarding activities are often limited by the spatial accuracy of geochemical data. Geochemical sampling is sometimes difficult to conduct because of harsh natural and geographic conditions (e.g., mountainous areas with high altitude and complex terrain), meaning that only medium/low-precision survey data could be obtained, which may not be adequate for regional geochemical mapping and exploration. Modern techniques such as remote sensing could be used to address this issue. In recent decades, the development of remote sensing technology has provided a huge amount of earth observation data with high spatial, temporal and spectral resolutions. The advantage of rapid acquisition of spatial and spectral information of large areas has promoted the broad use of remote sensing data in geoscientific research. Remote sensing data can help to differentiate various ground features by recording the electromagnetic response of the surface to solar radiation. Many problems that occur during the process of fusing remote sensing and geochemical data have been reported, such as the feasibility of existing fusion methods and low fusion accuracies that are less useful in practice. In this paper, a new strategy for integrating geochemical data and remote sensing data (referred to as ASTER data) is proposed; this strategy is achieved through linear regression as well as random forest and support vector regression algorithms. The results show that support vector regression can obtain better results for the available data sets and prove that the strategy currently proposed can effectively support the fusion of high-spatial-resolution remote sensing data (15 m) and low-spatial-resolution geochemical data (2000 m) in wide-range accurate geochemical applications (e.g., lithological identification and geochemical exploration).
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30

Jakobsen, U. H., and H. Stendal. "Geochemical exploration in central and western North Greenland." Rapport Grønlands Geologiske Undersøgelse 133 (December 31, 1987): 113–21. http://dx.doi.org/10.34194/rapggu.v133.7981.

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The 1985 geochemical exploration programme in central and western North Greenland completed the present geochemical exploration programme. A total of 424 stream sediment samples were collected during the 1985 field season. The reproducibility of drainage sampling is reasonably good for the elements Ba and Zn. Follow-up of anomalous Ba and Zn values from drainage samples collected in 1984 has not revealed any new mineralised localities. The high contents of Ba and Zn are interpreted as associated with: (1) pyrite-bearing strata, and/or (2) carbonate conglomerate, and/or (3) a higher general content of these elements in some lithostratigraphic units. A known zinc mineralisation in Navarana Fjord, eastern Freuchen Land, contains baryte in addition to sphalerite.
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31

Javadnejad, Farid, Javad EskandariShahraki, Sanaz Khoubani, Elham Kalantari, and Firouz Alinia. "Multivariate Analysis of Stream Sediment Geochemical Data for Gold Exploration in Delijan, Iran." International Journal of Research and Engineering 5, no. 2 (March 2018): 325–34. http://dx.doi.org/10.21276/ijre.2018.5.3.2.

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32

Segovia, Nuria, Rosa Maria Barragan ., Enrique Tello ., Ruth Alfaro ., Manuel Mena ., Sergei Pulinets ., and Amando Leyva . "Geochemical Exploration at Cuitzeo Basin Geothermal Zone (Mexico)." Journal of Applied Sciences 5, no. 9 (August 15, 2005): 1658–64. http://dx.doi.org/10.3923/jas.2005.1658.1664.

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33

Campbell, Katherine, and George S. Koch. "Exploration-Geochemical Data Analysis with the IBM PC." Technometrics 32, no. 3 (August 1990): 358. http://dx.doi.org/10.2307/1269135.

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34

VC, Alepa, Bale RB, Alimi SA, and Bonde DS. "Reconnaissance Geochemical Exploration in Kaiama, North Central, Nigeria." Saudi Journal of Engineering and Technology 04, no. 11 (November 20, 2019): 457–72. http://dx.doi.org/10.36348/sjeat.2019.v04i11.003.

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35

Timshanov, R. I., A. Yu Belonosov, and S. A. Sheshukov. "Geochemical surveys in different exploration and prospecting stages." Oil and gas geology = Geologiya nefti i gaza, no. 3 (July 2018): 103–9. http://dx.doi.org/10.31087/0016-7894-2018-3-103-109.

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36

Zuo, Renguang, Emmanuel John M. Carranza, and Jian Wang. "Spatial analysis and visualization of exploration geochemical data." Earth-Science Reviews 158 (July 2016): 9–18. http://dx.doi.org/10.1016/j.earscirev.2016.04.006.

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37

Esbensen, Kim, Lennart Lindqvist, Ingvar Lundholm, Dan Nisca, and Svante Wold. "Multivariate modelling of geochemical and geophysical exploration data." Chemometrics and Intelligent Laboratory Systems 2, no. 1-3 (August 1987): 161–75. http://dx.doi.org/10.1016/0169-7439(87)80094-1.

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38

Ramola, R. C., A. S. Sandhu, Surinder Singh, and H. S. Virk. "Geochemical exploration of uranium using radon measurement techniques." Chemical Geology 70, no. 1-2 (August 1988): 190. http://dx.doi.org/10.1016/0009-2541(88)90760-7.

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39

Krishnamurthy, P. "Elements of geochemistry, geochemical exploration and medical geology." Journal of the Geological Society of India 81, no. 2 (February 2013): 281–83. http://dx.doi.org/10.1007/s12594-013-0030-x.

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40

Moon, Charles J. "Geochemical exploration in Cornwall and Devon: a review." Geochemistry: Exploration, Environment, Analysis 10, no. 3 (August 2010): 331–51. http://dx.doi.org/10.1144/1467-7873/09-239.

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41

Mulder, Eduardo F. J. de, Qiuming Cheng, Frits Agterberg, and Mário Goncalves. "New and game-changing developments in geochemical exploration." Episodes 39, no. 1 (March 1, 2016): 70–71. http://dx.doi.org/10.18814/epiiugs/2016/v39i1/010.

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42

Russell-Cargill, Louise M., Bradley S. Craddock, Ross B. Dinsdale, Jacqueline G. Doran, Ben N. Hunt, and Ben Hollings. "Using autonomous underwater gliders for geochemical exploration surveys." APPEA Journal 58, no. 1 (2018): 367. http://dx.doi.org/10.1071/aj17079.

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Offshore exploration commonly uses geochemical sniffer technologies to detect hydrocarbon seepage. Advancements in sniffer technology have seen the development of submersible in-situ methane sensors. By integrating a Franatech laser methane sensor onto an autonomous underwater glider platform, geochemical survey durations can be increased, and associated exploration costs reduced. This paper analyses the effectiveness of methane detection using the integrated system and assesses its practical application to offshore hydrocarbon seep detection methods. Blue Ocean Monitoring surveyed the Yampi Shelf, an area with known oil and gas accumulations, and observed hydrocarbon seeps on the North West Shelf of Australia. Results from the survey showed a background dissolved methane concentration of 3 to 4 volumes per million (vpm). A distinct plume of methane between 30 to 84 vpm measured over 24 km2 was detected early in the survey. Three smaller plumes were also identified. Within a small plume, the highest concentration of methane was detected at 160 vpm. Methane above background levels was observed within 8 km of previously identified seeps; however, these seeps were unable to be pinpointed. Comparisons with data from previous surveys suggest similar oceanographic influences on the behaviour of the seeps, including tidal variations and the position of the thermocline. The results demonstrated that the integrated system may be used to effectively ground truth remote sensing interpretations and survey areas of interest over long durations, providing methane presence or absence results. To this effect, the integrated system may be implemented as a supporting technology for assessing the risks of further funding hydrocarbon detection surveys and focusing the area of interest before the deployment of vessel-based surveys.
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43

Carlson, Ernest H. "Geochemical exploration in arid and deeply weathered environments." Chemical Geology 54, no. 1-2 (January 1986): 177. http://dx.doi.org/10.1016/0009-2541(86)90082-3.

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44

Rose, Arthur W. "Geochemical exploration in arid and deeply weathered environments." Geochimica et Cosmochimica Acta 49, no. 5 (May 1985): 1295. http://dx.doi.org/10.1016/0016-7037(85)90021-3.

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45

Gladwell, D. R., and M. Hale. "Multifractional analyses in geochemical exploration for tin mineralization." Journal of Geochemical Exploration 29, no. 1-3 (January 1987): 407–8. http://dx.doi.org/10.1016/0375-6742(87)90106-3.

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46

Jun, Jin, Hu Zhengqing, Sun Xiangli, Zhang Maozhong, and Zhang Meidi. "Geochemical exploration in thick transported overburden, Eastern China." Journal of Geochemical Exploration 33, no. 1-3 (August 1989): 155–69. http://dx.doi.org/10.1016/0375-6742(89)90026-5.

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47

Yue, Shao, and Liu Jimin. "A geochemical method for the exploration of kimberlite." Journal of Geochemical Exploration 33, no. 1-3 (August 1989): 185–94. http://dx.doi.org/10.1016/0375-6742(89)90028-9.

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48

Theobald, Paul K. "Geochemical exploration, 1985, part I and part II." Journal of Geochemical Exploration 34, no. 3 (November 1989): 351–52. http://dx.doi.org/10.1016/0375-6742(89)90121-0.

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49

Sturdevant, James A. "Exploration geochemical data analysis with the IBM PC." Journal of Geochemical Exploration 41, no. 3 (November 1991): 388–89. http://dx.doi.org/10.1016/0375-6742(91)90011-i.

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50

Sondergard, Mark A. "Exploration—geochemical data analysis with the IBM PC." Computers & Geosciences 15, no. 6 (January 1989): 1025–26. http://dx.doi.org/10.1016/0098-3004(89)90015-0.

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