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  • ACRS 1997


    Poster Session 3

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    Classification of Sand dunes Using JERS-1 Data for Petroleum Exploration in the Eastern Junggar Basin, People's Republic of China

    Masataka Ochi1, Minoru Hatanaka2 and Yuichi Maruyama3
    1Nikko Exploration & Development Co., Ltd.
    2-7-10, Toranomon, Minato-Ku Tokyo 105, Japan
    Tel: (81)-3-3503-7781 Fax : (81)-3-3508-9785
    2Japan Energy Development Co., Ltd.
    2-10-1, Toranomon, Minato-Ku Tokyo 105, Japan
    Tel : (81)-3-5573-6850 Fax : (81)-3-5573-6860
    2Earth Remote Sensing Data Analysis Center
    3-12-1, Kachidoki, Chuo-Ku Tokyo 104, Japan
    Tel : (81)-3-3533-9380 Fax: (81)-3-3533-9383

    Abstract
    This study focuses on the limitations and benefits of satellite images when scouting a desert area for seismic planning purposes. The area chosen for this study was the Eastern Junggar Basin, PRC. In order to understand the general features of a desert, the sand dunes were classified into 17 units, on the basis of their Type, Wavelength and Relief Energy. Furthermore, the Wavelength and Relief Energy ratio was defined and mapped as an index for planning purposes. Finally the entire study area was classified into your zones according to the most appropriate seismic sources and operational difficulties.

    Introduction
    When conduction a seismic survey in the desert area, operational constraints are mainly related to local topographic conditions. Therefore, in order to predict and minimize problems, it is of crucial importance t investigate and analyze all the relevant data available and create a base map, before intensively planning the logistical approach, line location and selecting a method.

    Where geography and geology have never been detailed due to the difficult access yet, satellite images provide significant clues for detecting and mapping exposed features as well as monitoring these features over the seasons.

    In 1995, Japan Energy Development Co., Ltd., due to the interest in the logistical application of remote sensing technology over areas of complicated topography, and in order to understand the limitations and benefits of a satellite data when scouting a desert area, carried out a research project in the Eastern Junggar Basin, PRC (Figure 1). The project was conducted on behalf of the Earth Remote Sensing Data Analysis Center , Japan and with their support.


    Figure 1. Location Map of the Study Area.

    Geographical and Geological Settings
    The Junggar Basin is an interior basin in the north Xinjiang Uygut Autonomous Region, PRC, which was formed among three mountain ranges called the Altai Shan, Tien Shan and Tarbagatay Shan. The surface of the basin is gently down-dipping from northeast to southwest and the elevation ranges from 250 to 1,000 m. Major geomorphologic features appearing in and around the study area are (1) alluvial plains along north piedmont of the Tien Shan, (2) plays lakes and moors, formed by the convergent drainage system in the western part of the basin and (3) the Gurbantunggut Desert, which covers the central part of the basin.

    Two major outcrop belts are located in the northeastern and southern parts of the study area and they respectively are called the Kelameili Shan and Bogda Shan (Figure 1). The former consists of the Silurian to Creataceous sedimentary rocks. The Silurian to Permian generally extends in the E-W strike, while the Triassic and Jurassic form a gentle anticline with an axis of the N-S direction. The letter, on the other hand, is underlain mainly by the Carboniferous, Permian and Jurassic sedimentary rocks, which generally strike in the E-W direction. The Upper Permian of the Bogda Shan includes the thick oil shale sequences and they are thought to take part in the most significant source rocks for hydrocarbon accumulation. Several oil fields represented by the Houshaoshan and Cainan have been discovered in the study area since 1983.

    Satellite Imagine Data Used
    In this study, a total of 12 JERS-1 OPS images, mostly acquired in the summer of 1993, were photogeologically interpreted. Image processing involves contrast stretching of Level-2 image and false color assignment of BGR= 123 to produce full color images on a scale of 1:200,000.

    Classification of Sand Dunes
    Sand dunes in the Junggar Basin show a variety of styles and their movement has been restricted in areas where vegetation occurs. The vegetation has developed because of the high rate of precipitation in the area, approximately 150 to 200 mm annually. The sand dunes were classified using the following three morphologic and geometric features (Figure 2):


    Figure 2. Integrated Classification of Sand Dunes.

    (1) Type : transverse, longitudinal, deformed, barchan
    (2) Wavelength : 300 m+, 200~300 m, 100~
    (3) Relief Energy : 100 m-, 10~15 m, 15 m+

    The two former features, represented by their horizontal characteristics, were directly obtained from the JERS-1 OPS images, while the last feature was carefully interpreted and quantified, referring to and based upon an on-site observation of the dunes. By combining these features, sand dunes were classified into 17 units, as shown in Figures 2 and 3. The results of the classification appear to indicate that each unit and its dominated area can be related to some mechanism which forms the sand dunes.


    Figure 3. Classification Map of Sand Dunes in the Desert Area.

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